Leader
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00000nz a2200037n 45 0 |
001
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WKP|Q88222777
(VIAF cluster)
(Authority/Source Record)
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WKP |
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20241221010735.0 |
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(WKP)Q88222777
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0000-0002-7870-5639
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orcid
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035
|
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(OCoLC)Q88222777
|
100
|
0 |
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John A Schneider
‡c
researcher
‡9
en
|
375
|
|
|
‡a
1
‡2
iso5218
|
400
|
0 |
|
‡a
John A Schneider
‡c
wetenschapper
‡9
nl
|
670
|
|
|
‡a
Author's #PrEP4Love: An Evaluation of a Sex-Positive HIV Prevention Campaign
|
670
|
|
|
‡a
Author's A modeling framework to inform preexposure prophylaxis initiation and retention scale-up in the context of 'Getting to Zero' initiatives
|
670
|
|
|
‡a
Author's A Social Network Analysis of Cooperation and Support in an HIV Service Delivery Network for Young Latino MSM in Miami
|
670
|
|
|
‡a
Author's An Employment Intervention Program (Work2Prevent) for Young Men Who Have Sex With Men and Transgender Youth of Color (Phase 1): Protocol for Determining Essential Intervention Components Using Qualitative Interviews and Focus Groups
|
670
|
|
|
‡a
Author's An Employment Intervention Program (Work2Prevent) for Young Men Who Have Sex With Men and Transgender Youth of Color (Phase 2): Protocol for a Single-Arm Mixed Methods Pilot Test to Assess Feasibility and Acceptability
|
670
|
|
|
‡a
Author's Application of a simple point-of-care test to reduce UK healthcare costs and adverse events in outpatient acute respiratory infections
|
670
|
|
|
‡a
Author's Behavioral characteristics and their association with syphilis seroprevalence among a cohort of young Black men who have sex with men
|
670
|
|
|
‡a
Author's Facebook group affiliation ties, group topics, and HIV behavioral characteristics among young Black men who have sex with men: Potential for public health intervention
|
670
|
|
|
‡a
Author's HIV Prevention and Sex Behaviors as Organizing Mechanisms in a Facebook Group Affiliation Network Among Young Black Men Who Have Sex with Men.
|
670
|
|
|
‡a
Author's HIV, Sexually Transmitted Infection, and Substance Use Continuum of Care Interventions Among Criminal Justice-Involved Black Men Who Have Sex With Men: A Systematic Review
|
670
|
|
|
‡a
Author's Identifying influential neighbors in social networks and venue affiliations among young MSM: A data science approach to predict HIV infection
|
670
|
|
|
‡a
Author's Innovative Approaches to Obtain Minors' Consent for Biomedical HIV Prevention Trials: Multi-Site Quasi-Experimental Study of Adolescent and Parent Perspectives
|
670
|
|
|
‡a
Author's Lack of Support for Socially Connected HIV-1 Transmission Among Young Adult Black Men Who Have Sex with Men.
|
670
|
|
|
‡a
Author's Multiplex Competition, Collaboration, and Funding Networks Among Health and Social Organizations: Toward Organization-based HIV Interventions for Young Men Who Have Sex With Men.
|
670
|
|
|
‡a
Author's Neighbourhoods, networks and pre-exposure prophylaxis awareness: a multilevel analysis of a sample of young black men who have sex with men
|
670
|
|
|
‡a
Author's Network Centrality and Geographical Concentration of Social and Service Venues that Serve Young Men Who Have Sex with Men.
|
670
|
|
|
‡a
Author's Network context matters: graph convolutional network model over social networks improves the detection of unknown HIV infections among young men who have sex with men
|
670
|
|
|
‡a
Author's Network Modeling of PrEP Uptake on Referral Networks and Health Venue Utilization Among Young Men Who Have Sex with Men
|
670
|
|
|
‡a
Author's Network overlap and knowledge of a partner's HIV status among young men who have sex with men
|
670
|
|
|
‡a
Author's Personal social networks and organizational affiliation of South Asians in the United States
|
670
|
|
|
‡a
Author's Pre-exposure Prophylaxis (PrEP) Awareness and Use Within High HIV Transmission Networks
|
670
|
|
|
‡a
Author's Prevalence of and risk factors for anal HPV among a sample of predominantly black men who have sex with men in Houston, Texas
|
670
|
|
|
‡a
Author's Project nGage: Results of a Randomized Controlled Trial of a Dyadic Network Support Intervention to Retain Young Black Men Who Have Sex With Men in HIV Care.
|
670
|
|
|
‡a
Author's Sex Behaviors as Social Cues Motivating Social Venue Patronage Among Young Black Men Who Have Sex with Men.
|
670
|
|
|
‡a
Author's Social network body size is associated with body size norms of South Asian adults
|
670
|
|
|
‡a
Author's Social networks as drivers of syphilis and HIV infection among young men who have sex with men.
|
670
|
|
|
‡a
Author's Socio-Structural and Neighborhood Predictors of Incident Criminal Justice Involvement in a Population-Based Cohort of Young Black MSM and Transgender Women
|
670
|
|
|
‡a
Author's Statistical adjustment of network degree in respondent-driven sampling estimators: venue attendance as a proxy for network size among young MSM
|
670
|
|
|
‡a
Author's The multiplex social environments of young Black men who have sex with men: How online and offline social structures impact HIV prevention and sex behavior engagement
|
670
|
|
|
‡a
Author's Travel Time to Clinic but not Neighborhood Crime Rate is Associated with Retention in Care Among HIV-Positive Patients.
|
670
|
|
|
‡a
Author's Use of Pre-exposure Prophylaxis (PrEP) in Young Men Who Have Sex with Men is Associated with Race, Sexual Risk Behavior and Peer Network Size
|
670
|
|
|
‡a
Author's Using Partially-Observed Facebook Networks to Develop a Peer-Based HIV Prevention Intervention: Case Study
|
670
|
|
|
‡a
Author's Work2Prevent, an Employment Intervention Program as HIV Prevention for Young Men Who Have Sex With Men and Transgender Youth of Color (Phase 3): Protocol for a Single-Arm Community-Based Trial to Assess Feasibility and Acceptability in a Real-World
|
909
|
|
|
‡a
(orcid) 0000000278705639
‡9
1
|
919
|
|
|
‡a
statisticaladjustmentofnetworkdegreeinrespondentdrivensamplingestimatorsvenueattendanceasaproxyfornetworksizeamongyoungmsm
‡A
Statistical adjustment of network degree in respondent-driven sampling estimators: venue attendance as a proxy for network size among young MSM
‡9
1
|
919
|
|
|
‡a
sociostructuralandneighborhoodpredictorsofincidentcriminaljusticeinvolvementinapopulationbasedcohortofyoungblackmsmandtransgenderwomen
‡A
Socio-Structural and Neighborhood Predictors of Incident Criminal Justice Involvement in a Population-Based Cohort of Young Black MSM and Transgender Women
‡9
1
|
919
|
|
|
‡a
socialnetworksasdriversofsyphilisandhivinfectionamongyoungmenwhohavesexwithmen
‡A
Social networks as drivers of syphilis and HIV infection among young men who have sex with men.
‡9
1
|
919
|
|
|
‡a
socialnetworkbodysizeisassociatedwithbodysizenormsofsouthasianadults
‡A
Social network body size is associated with body size norms of South Asian adults
‡9
1
|
919
|
|
|
‡a
sexbehaviorsassocialcuesmotivatingsocialvenuepatronageamongyoungblackmenwhohavesexwithmen
‡A
Sex Behaviors as Social Cues Motivating Social Venue Patronage Among Young Black Men Who Have Sex with Men.
‡9
1
|
919
|
|
|
‡a
projectngageresultsofarandomizedcontrolledtrialofadyadicnetworksupportinterventiontoretainyoungblackmenwhohavesexwithmeninhivcare
‡A
Project nGage: Results of a Randomized Controlled Trial of a Dyadic Network Support Intervention to Retain Young Black Men Who Have Sex With Men in HIV Care.
‡9
1
|
919
|
|
|
‡a
prevalenceofandriskfactorsforanalhpvamongasampleofpredominantlyblackmenwhohavesexwithmeninhoustontexas
‡A
Prevalence of and risk factors for anal HPV among a sample of predominantly black men who have sex with men in Houston, Texas
‡9
1
|
919
|
|
|
‡a
preexposureprophylaxisprepawarenessandusewithinhighhivtransmissionnetworks
‡A
Pre-exposure Prophylaxis (PrEP) Awareness and Use Within High HIV Transmission Networks
‡9
1
|
919
|
|
|
‡a
personalsocialnetworksandorganizationalaffiliationofsouthasiansintheunitedstates
‡A
Personal social networks and organizational affiliation of South Asians in the United States
‡9
1
|
919
|
|
|
‡a
networkoverlapandknowledgeofapartnershivstatusamongyoungmenwhohavesexwithmen
‡A
Network overlap and knowledge of a partner's HIV status among young men who have sex with men
‡9
1
|
919
|
|
|
‡a
networkmodelingofprepuptakeonreferralnetworksandhealthvenueutilizationamongyoungmenwhohavesexwithmen
‡A
Network Modeling of PrEP Uptake on Referral Networks and Health Venue Utilization Among Young Men Who Have Sex with Men
‡9
1
|
919
|
|
|
‡a
networkcontextmattersgraphconvolutionalnetworkmodeloversocialnetworksimprovesthedetectionofunknownhivinfectionsamongyoungmenwhohavesexwithmen
‡A
Network context matters: graph convolutional network model over social networks improves the detection of unknown HIV infections among young men who have sex with men
‡9
1
|
919
|
|
|
‡a
networkcentralityandgeographicalconcentrationofsocialandservicevenuesthatserveyoungmenwhohavesexwithmen
‡A
Network Centrality and Geographical Concentration of Social and Service Venues that Serve Young Men Who Have Sex with Men.
‡9
1
|
919
|
|
|
‡a
neighbourhoodsnetworksandpreexposureprophylaxisawarenessamultilevelanalysisofasampleofyoungblackmenwhohavesexwithmen
‡A
Neighbourhoods, networks and pre-exposure prophylaxis awareness: a multilevel analysis of a sample of young black men who have sex with men
‡9
1
|
919
|
|
|
‡a
multiplexcompetitioncollaborationandfundingnetworksamonghealthandsocialorganizationstowardorganizationbasedhivinterventionsforyoungmenwhohavesexwithmen
‡A
Multiplex Competition, Collaboration, and Funding Networks Among Health and Social Organizations: Toward Organization-based HIV Interventions for Young Men Who Have Sex With Men.
‡9
1
|
919
|
|
|
‡a
lackofsupportforsociallyconnectedhiv1transmissionamongyoungadultblackmenwhohavesexwithmen
‡A
Lack of Support for Socially Connected HIV-1 Transmission Among Young Adult Black Men Who Have Sex with Men.
‡9
1
|
919
|
|
|
‡a
innovativeapproachestoobtainminorsconsentforbiomedicalhivpreventiontrialsmultisitequasiexperimentalstudyofadolescentandparentperspectives
‡A
Innovative Approaches to Obtain Minors' Consent for Biomedical HIV Prevention Trials: Multi-Site Quasi-Experimental Study of Adolescent and Parent Perspectives
‡9
1
|
919
|
|
|
‡a
identifyinginfluentialneighborsinsocialnetworksandvenueaffiliationsamongyoungmsmadatascienceapproachtopredicthivinfection
‡A
Identifying influential neighbors in social networks and venue affiliations among young MSM: A data science approach to predict HIV infection
‡9
1
|
919
|
|
|
‡a
hivsexuallytransmittedinfectionandsubstanceusecontinuumofcareinterventionsamongcriminaljusticeinvolvedblackmenwhohavesexwithmenasystematicreview
‡A
HIV, Sexually Transmitted Infection, and Substance Use Continuum of Care Interventions Among Criminal Justice-Involved Black Men Who Have Sex With Men: A Systematic Review
‡9
1
|
919
|
|
|
‡a
hivpreventionandsexbehaviorsasorganizingmechanismsinafacebookgroupaffiliationnetworkamongyoungblackmenwhohavesexwithmen
‡A
HIV Prevention and Sex Behaviors as Organizing Mechanisms in a Facebook Group Affiliation Network Among Young Black Men Who Have Sex with Men.
‡9
1
|
919
|
|
|
‡a
facebookgroupaffiliationtiesgrouptopicsandhivbehavioralcharacteristicsamongyoungblackmenwhohavesexwithmenpotentialforpublichealthintervention
‡A
Facebook group affiliation ties, group topics, and HIV behavioral characteristics among young Black men who have sex with men: Potential for public health intervention
‡9
1
|
919
|
|
|
‡a
behavioralcharacteristicsandtheirassociationwithsyphilisseroprevalenceamongacohortofyoungblackmenwhohavesexwithmen
‡A
Behavioral characteristics and their association with syphilis seroprevalence among a cohort of young Black men who have sex with men
‡9
1
|
919
|
|
|
‡a
applicationofasimplepointofcaretesttoreduceukhealthcarecostsandadverseeventsinoutpatientacuterespiratoryinfections
‡A
Application of a simple point-of-care test to reduce UK healthcare costs and adverse events in outpatient acute respiratory infections
‡9
1
|
919
|
|
|
‡a
employmentinterventionprogramwork2preventforyoungmenwhohavesexwithmenandtransgenderyouthofcolorphase2protocolforasinglearmmixedmethodspilottesttoassessfeasibilityandacceptability
‡A
An Employment Intervention Program (Work2Prevent) for Young Men Who Have Sex With Men and Transgender Youth of Color (Phase 2): Protocol for a Single-Arm Mixed Methods Pilot Test to Assess Feasibility and Acceptability
‡9
1
|
919
|
|
|
‡a
employmentinterventionprogramwork2preventforyoungmenwhohavesexwithmenandtransgenderyouthofcolorphase1protocolfordeterminingessentialinterventioncomponentsusingqualitativeinterviewsandfocusgroups
‡A
An Employment Intervention Program (Work2Prevent) for Young Men Who Have Sex With Men and Transgender Youth of Color (Phase 1): Protocol for Determining Essential Intervention Components Using Qualitative Interviews and Focus Groups
‡9
1
|
919
|
|
|
‡a
socialnetworkanalysisofcooperationandsupportinanhivservicedeliverynetworkforyounglatinomsminmiami
‡A
A Social Network Analysis of Cooperation and Support in an HIV Service Delivery Network for Young Latino MSM in Miami
‡9
1
|
919
|
|
|
‡a
modelingframeworktoinformpreexposureprophylaxisinitiationandretentionscaleupinthecontextofgettingto0initiatives
‡A
A modeling framework to inform preexposure prophylaxis initiation and retention scale-up in the context of 'Getting to Zero' initiatives
‡9
1
|
919
|
|
|
‡a
#prep4loveanevaluationofasexpositivehivpreventioncampaign
‡A
#PrEP4Love: An Evaluation of a Sex-Positive HIV Prevention Campaign
‡9
1
|
919
|
|
|
‡a
work2preventanemploymentinterventionprogramashivpreventionforyoungmenwhohavesexwithmenandtransgenderyouthofcolorphase3protocolforasinglearmcommunitybasedtrialtoassessfeasibilityandacceptabilityinarealworld
‡A
Work2Prevent, an Employment Intervention Program as HIV Prevention for Young Men Who Have Sex With Men and Transgender Youth of Color (Phase 3): Protocol for a Single-Arm Community-Based Trial to Assess Feasibility and Acceptability in a Real-World
‡9
1
|
919
|
|
|
‡a
usingpartiallyobservedfacebooknetworkstodevelopapeerbasedhivpreventioninterventioncasestudy
‡A
Using Partially-Observed Facebook Networks to Develop a Peer-Based HIV Prevention Intervention: Case Study
‡9
1
|
919
|
|
|
‡a
useofpreexposureprophylaxisprepinyoungmenwhohavesexwithmenisassociatedwithracesexualriskbehaviorandpeernetworksize
‡A
Use of Pre-exposure Prophylaxis (PrEP) in Young Men Who Have Sex with Men is Associated with Race, Sexual Risk Behavior and Peer Network Size
‡9
1
|
919
|
|
|
‡a
traveltimetoclinicbutnotneighborhoodcrimerateisassociatedwithretentionincareamonghivpositivepatients
‡A
Travel Time to Clinic but not Neighborhood Crime Rate is Associated with Retention in Care Among HIV-Positive Patients.
‡9
1
|
919
|
|
|
‡a
multiplexsocialenvironmentsofyoungblackmenwhohavesexwithmenhowonlineandofflinesocialstructuresimpacthivpreventionandsexbehaviorengagement
‡A
The multiplex social environments of young Black men who have sex with men: How online and offline social structures impact HIV prevention and sex behavior engagement
‡9
1
|
946
|
|
|
‡a
b
‡9
1
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996
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996
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LC|n 80119466
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996
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DNB|122057562
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996
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DNB|1052457681
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996
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DNB|116829362
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996
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DNB|174169531
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996
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NLA|000035260819
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996
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LIH|LNB:B_v__b_P;=B6
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996
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DNB|1044622105
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996
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BIBSYS|1483107586797
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996
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NII|DA17211893
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996
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LC|nb2015022657
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996
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ISNI|0000000500008042
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996
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DNB|1077255985
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996
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CAOONL|ncf11411242
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996
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NKC|mzk2003199841
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996
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996
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CAOONL|ncf10205503
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996
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J9U|987007277566405171
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996
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NYNYRILM|31353
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996
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ISNI|0000000010252077
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996
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NTA|24010501X
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996
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DNB|1192488113
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996
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DNB|1157551432
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996
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DNB|170466671
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996
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|
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NYNYRILM|31354
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996
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|
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RERO|A006381271
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996
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CAOONL|ncf10930255
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996
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ISNI|0000000398597994
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NUKAT|n 2008150400
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996
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ISNI|0000000458756433
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996
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LC|n 91126631
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DNB|1051199883
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996
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DNB|143103032
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996
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996
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DNB|1139192469
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996
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DE633|pe30023071
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996
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ISNI|0000000012253962
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996
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DNB|116183737X
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996
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996
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DNB|1047654679
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996
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BNF|17744352
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996
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SZ|130281867
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DNB|115900367X
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996
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CAOONL|ncf10730956
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996
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LIH|LNB:B_g_N_b_;=B_p_
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996
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PLWABN|9810533394405606
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996
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ERRR|a12540213
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996
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ERRR|a12683425
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996
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DNB|115864342
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996
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SUDOC|080625681
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996
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DNB|1255738723
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996
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DNB|173473369
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DNB|1053497482
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996
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DE633|pe30025173
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DNB|1126524875
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996
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SUDOC|203032160
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|
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DNB|1138583545
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LC|n 83208732
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PLWABN|9812448781205606
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996
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DNB|1015479332
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|
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BAV|495_21375
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996
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|
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BAV|495_21374
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996
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|
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DNB|1050749138
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996
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|
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NYNYRILM|253172
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996
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DNB|1053511531
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PLWABN|9810629035805606
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996
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|
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NUKAT|n 2012275596
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996
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ISNI|0000000010955258
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ISNI|0000000102011529
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BNF|16637154
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NTA|239787838
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996
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SUDOC|260212989
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996
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|
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LC|n 97097263
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996
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|
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DNB|1243976063
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996
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|
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DNB|17351779X
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996
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|
|
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NTA|067853676
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996
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|
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DNB|1126976083
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996
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|
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NTA|314961410
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996
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|
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NUKAT|n 2008113024
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PLWABN|9810532249205606
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BNE|XX6114851
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NKC|kpwa12261
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996
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PLWABN|9814253074505606
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996
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DNB|131761803
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996
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LC|n 83144494
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996
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|
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DNB|122764781
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996
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PLWABN|9810610165005606
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996
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NUKAT|n 2018167057
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996
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DNB|130146803
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996
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DNB|1082245550
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996
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|
|
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DNB|1160089892
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996
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|
|
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ISNI|0000000032669359
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996
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|
|
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DNB|139672435
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|
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DNB|116829419
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996
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|
|
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NKC|mub20231208086
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996
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|
|
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SUDOC|167105744
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996
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|
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NUKAT|n 2011214241
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996
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|
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DNB|1345222769
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996
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NLA|000055096022
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996
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|
|
‡2
SUDOC|083700617
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996
|
|
|
‡2
DNB|1193140773
|
996
|
|
|
‡2
DNB|1157337589
|
996
|
|
|
‡2
LC|n 2004031918
|
996
|
|
|
‡2
DNB|128917091
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996
|
|
|
‡2
DNB|1241994439
|
996
|
|
|
‡2
LC|n 83311642
|
996
|
|
|
‡2
DNB|1116556022
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996
|
|
|
‡2
RERO|A017766216
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996
|
|
|
‡2
DNB|130594423
|
996
|
|
|
‡2
J9U|987007267783605171
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996
|
|
|
‡2
ISNI|0000000445082329
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996
|
|
|
‡2
DNB|1051168244
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996
|
|
|
‡2
ISNI|0000000065823893
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996
|
|
|
‡2
NTA|069730253
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996
|
|
|
‡2
RERO|A003803163
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996
|
|
|
‡2
PLWABN|9812650663905606
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996
|
|
|
‡2
SZ|1116488264
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996
|
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|
‡2
DNB|132291568
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996
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|
‡2
RERO|A026604326
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996
|
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|
‡2
LC|n 2017015804
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996
|
|
|
‡2
DNB|1043038647
|
996
|
|
|
‡2
DNB|104285540
|
996
|
|
|
‡2
SUDOC|230231667
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996
|
|
|
‡2
DNB|120132842
|
996
|
|
|
‡2
DNB|126794081
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996
|
|
|
‡2
LC|n 95022029
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996
|
|
|
‡2
J9U|987007325380205171
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996
|
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‡2
LC|no2019016904
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996
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‡2
ISNI|0000000093507572
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996
|
|
|
‡2
DNB|1281766356
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996
|
|
|
‡2
DNB|121464512
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996
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|
‡2
DNB|13852534X
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996
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‡2
SELIBR|340258
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996
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‡2
ISNI|0000000109624766
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996
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BIBSYS|99026221
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996
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CAOONL|ncf11490571
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996
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‡2
RERO|A023952377
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996
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‡2
DNB|1146714157
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996
|
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|
‡2
LIH|LNB:YL,;=BM
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996
|
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|
‡2
NTA|074559273
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996
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‡2
DNB|115835083
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996
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‡2
DNB|110149946X
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996
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‡2
DNB|1052446248
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996
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RERO|A023952368
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996
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DNB|138180059
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996
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DNB|12927139X
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996
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LC|n 92048018
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996
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‡2
ISNI|0000000115668183
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996
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CAOONL|ncf11278400
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996
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‡2
ISNI|0000000096574404
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996
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DNB|1126582883
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996
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DNB|138525331
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996
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NDL|01221615
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996
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ISNI|0000000006574524
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996
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LC|n 91098201
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996
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|
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DBC|87097962517506
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996
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‡2
DNB|102815240
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996
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DNB|1242917926
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996
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ISNI|0000000385816676
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996
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|
‡2
NUKAT|n 2018042967
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996
|
|
|
‡2
LC|n 2023015809
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996
|
|
|
‡2
NSK|000013919
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996
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|
‡2
DNB|116829354
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996
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|
|
‡2
DNB|1153847965
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996
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|
|
‡2
RERO|A023944668
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996
|
|
|
‡2
BNCHL|10000000000000000127441
|
996
|
|
|
‡2
ISNI|000000039686231X
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996
|
|
|
‡2
CAOONL|ncf11175428
|
996
|
|
|
‡2
SUDOC|085682365
|
996
|
|
|
‡2
DNB|1281472433
|
996
|
|
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‡2
DNB|133928322
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996
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|
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NKC|skuk0005100
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996
|
|
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‡2
DNB|1062936795
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996
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|
‡2
ISNI|0000000040616409
|
996
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|
|
‡2
RERO|A009018978
|
996
|
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|
‡2
NUKAT|n 2017006259
|
996
|
|
|
‡2
NKC|mzk2016904446
|
996
|
|
|
‡2
DNB|1053522088
|
996
|
|
|
‡2
DNB|1164974432
|
996
|
|
|
‡2
ISNI|0000000013337412
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996
|
|
|
‡2
PLWABN|9810532358205606
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996
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|
|
‡2
DNB|1112486658
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996
|
|
|
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DNB|128791020
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996
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‡2
BNF|14830990
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996
|
|
|
‡2
DNB|115735038
|
996
|
|
|
‡2
BIBSYS|90674211
|
996
|
|
|
‡2
RERO|A013146588
|
996
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‡2
DNB|11682932X
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996
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‡2
DNB|10315678X
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996
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DNB|1031252916
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996
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DNB|122081250
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996
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LC|n 87146129
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996
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‡2
DNB|115357828X
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996
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|
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‡2
DNB|1155275985
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996
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‡2
DNB|1055208682
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996
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|
|
‡2
DE633|pe30008890
|
996
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|
|
‡2
DE633|pe30038726
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996
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DNB|1351017705
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996
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LC|nb2016025430
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996
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|
|
‡2
DNB|1345920164
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996
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ISNI|0000000055261591
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996
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DNB|1196851905
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996
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|
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DNB|134139607
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996
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NII|DA13731927
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996
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|
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NUKAT|n 2006124083
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996
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|
|
‡2
DNB|107998285X
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996
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|
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PLWABN|9810691057605606
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996
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LC|no2009176364
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996
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ISNI|0000000108015387
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996
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DNB|1050677927
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996
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BNE|XX1751907
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996
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RERO|A025580808
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996
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ISNI|0000000066442873
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996
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ISNI|0000000057552384
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996
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|
|
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SUDOC|250934795
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996
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|
|
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LIH|LNB:C_a_J_f_;=B_k_
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996
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|
|
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DNB|126324565
|
996
|
|
|
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J9U|987007337306705171
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996
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|
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CAOONL|ncf11171664
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996
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|
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‡2
ISNI|0000000387274137
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996
|
|
|
‡2
PLWABN|9813282361205606
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996
|
|
|
‡2
NTA|073846716
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996
|
|
|
‡2
PLWABN|9812648986405606
|
996
|
|
|
‡2
J9U|987007383757805171
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996
|
|
|
‡2
DNB|125819528
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996
|
|
|
‡2
DNB|1187161861
|
996
|
|
|
‡2
LC|no2019177922
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996
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|
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DNB|104117672
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996
|
|
|
‡2
DNB|1022517872
|
996
|
|
|
‡2
J9U|987007308547505171
|
996
|
|
|
‡2
DNB|141651660
|
996
|
|
|
‡2
DNB|122064160X
|
996
|
|
|
‡2
RERO|A026043693
|
996
|
|
|
‡2
DNB|120808481X
|
996
|
|
|
‡2
SUDOC|19862400X
|
996
|
|
|
‡2
ISNI|0000000081239953
|
996
|
|
|
‡2
DNB|138179654
|
996
|
|
|
‡2
LC|n 90688805
|
996
|
|
|
‡2
SZ|1136602097
|
996
|
|
|
‡2
NUKAT|n 2014132755
|
996
|
|
|
‡2
DE633|pe83591
|
996
|
|
|
‡2
ISNI|0000000032539757
|
996
|
|
|
‡2
BIBSYS|90116890
|
996
|
|
|
‡2
NII|DA09813234
|
996
|
|
|
‡2
DE633|pe30073039
|
997
|
|
|
‡a
0 0 lived 0 0
‡9
1
|