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Leader		00000nz a2200037n 45 0
001		WKP\|Q52307085 (VIAF cluster) (Authority/Source Record)
003		WKP
005		20241121000204.0
008		241121nneanz\|\|abbn n and d
035		‎‡a (WKP)Q52307085‏
024		‎‡a 0000-0002-4042-3070‏ ‎‡2 orcid‏
024		‎‡a 0000-0002-4581-7685‏ ‎‡2 orcid‏
024		‎‡a 37108628300‏ ‎‡2 scopus‏
035		‎‡a (OCoLC)Q52307085‏
100	0	‎‡a Daniel Romero Muñoz‏ ‎‡9 ast‏ ‎‡9 es‏ ‎‡9 sl‏
375		‎‡a 1‏ ‎‡2 iso5218‏
400	0	‎‡a Daniel Romero Muñoz‏ ‎‡c researcher‏ ‎‡9 en‏
400	0	‎‡a Daniel Romero Muñoz‏ ‎‡c onderzoeker‏ ‎‡9 nl‏
670		‎‡a Author's A continuidade do uso de anfetaminas por motoristas de caminhão no Estado de São Paulo, Brasil, a despeito da proibição de sua produção, prescrição e uso‏
670		‎‡a Author's A qualitative study of compact bone microstructure and nuclear short tandem repeat obtained from femur of human remains found on the ground and exhumed 3 years after death.‏
670		‎‡a Author's Amphetamine, cocaine and cannabinoids use among truck drivers on the roads in the State of Sao Paulo, Brazil.‏
670		‎‡a Author's Amphetamine use by truck drivers on highways of Sao Paulo State: a risk for the occurrence of traffic accidents?‏
670		‎‡a Author's Analysis of DNA in minute volumes of blood from stains and crusts‏
670		‎‡a Author's Analysis of skeletal muscle has potential value in the assessment of cocaine-related deaths.‏
670		‎‡a Author's Association between travel length and drug use among Brazilian truck drivers.‏
670		‎‡a Author's Brazilian normal static bone histomorphometry: effects of age, sex, and race.‏
670		‎‡a Author's Determination of Opiates in Whole Blood and Vitreous Humor: A Study of the Matrix Effect and an Experimental Design to Optimize Conditions for the Enzymatic Hydrolysis of Glucuronides‏
670		‎‡a Author's Hair drug testing in the new Brazilian regulation to obtain professional driver's licence: no parallel to any other law enforcement in the world.‏
670		‎‡a Author's Hollow-fiber liquid-phase microextraction and gas chromatography-mass spectrometry of barbiturates in whole blood samples‏
670		‎‡a Author's Population data of 16 autosomal STR loci of the Powerplex ESX 17 System in a Brazilian Population from the State of São Paulo.‏
670		‎‡a Author's Protoporphyrin fluorescence induced by methyl-ALA in skin healing‏
670		‎‡a Author's Risk Factors for Cardiovascular Disease, Metabolic Syndrome and Sleepiness in Truck Drivers‏
670		‎‡a Author's Trends in the use of psychoactive substances by truck drivers in São Paulo State, Brazil: A time-series cross sectional roadside survey (2009-2016)‏
670		‎‡a Author's Y-STRs in Forensic Medicine: DNA Analysis in Semen Samples of Azoospermic Individuals‏
909		‎‡a (orcid) 0000000240423070‏ ‎‡9 1‏
909		‎‡a (scopus) 37108628300‏ ‎‡9 1‏
909		‎‡a (orcid) 0000000245817685‏ ‎‡9 1‏
919		‎‡a amphetamineusebytruckdriversonhighwaysofsaopaulostateariskfortheoccurrenceoftrafficaccidents‏ ‎‡A Amphetamine use by truck drivers on highways of Sao Paulo State: a risk for the occurrence of traffic accidents?‏ ‎‡9 1‏
919		‎‡a amphetaminecocaineandcannabinoidsuseamongtruckdriversontheroadsinthestateofsaopaulobrazil‏ ‎‡A Amphetamine, cocaine and cannabinoids use among truck drivers on the roads in the State of Sao Paulo, Brazil.‏ ‎‡9 1‏
919		‎‡a hollowfiberliquidphasemicroextractionandgaschromatographymassspectrometryofbarbituratesinwholebloodsamples‏ ‎‡A Hollow-fiber liquid-phase microextraction and gas chromatography-mass spectrometry of barbiturates in whole blood samples‏ ‎‡9 1‏
919		‎‡a hairdrugtestinginthenewbrazilianregulationtoobtainprofessionaldriverslicencenoparalleltoanyotherlawenforcementintheworld‏ ‎‡A Hair drug testing in the new Brazilian regulation to obtain professional driver's licence: no parallel to any other law enforcement in the world.‏ ‎‡9 1‏
919		‎‡a trendsintheuseofpsychoactivesubstancesbytruckdriversinsaopaulostatebrazilatimeseriescrosssectionalroadsidesurvey2009‏ ‎‡A Trends in the use of psychoactive substances by truck drivers in São Paulo State, Brazil: A time-series cross sectional roadside survey (2009-2016)‏ ‎‡9 1‏
919		‎‡a ystrsinforensicmedicinednaanalysisinsemensamplesofazoospermicindividuals‏ ‎‡A Y-STRs in Forensic Medicine: DNA Analysis in Semen Samples of Azoospermic Individuals‏ ‎‡9 1‏
919		‎‡a riskfactorsforcardiovasculardiseasemetabolicsyndromeandsleepinessintruckdrivers‏ ‎‡A Risk Factors for Cardiovascular Disease, Metabolic Syndrome and Sleepiness in Truck Drivers‏ ‎‡9 1‏
919		‎‡a protoporphyrinfluorescenceinducedbymethylalainskinhealing‏ ‎‡A Protoporphyrin fluorescence induced by methyl-ALA in skin healing‏ ‎‡9 1‏
919		‎‡a populationdataof16autosomalstrlociofthepowerplexesx17systeminabrazilianpopulationfromthestateofsaopaulo‏ ‎‡A Population data of 16 autosomal STR loci of the Powerplex ESX 17 System in a Brazilian Population from the State of São Paulo.‏ ‎‡9 1‏
919		‎‡a continuidadedousodeanfetaminaspormotoristasdecaminhaonoestadodesaopaulobrasiladespeitodaproibicaodesuaproducaoprescricaoeuso‏ ‎‡A A continuidade do uso de anfetaminas por motoristas de caminhão no Estado de São Paulo, Brasil, a despeito da proibição de sua produção, prescrição e uso‏ ‎‡9 1‏
919		‎‡a qualitativestudyofcompactbonemicrostructureandnuclearshorttandemrepeatobtainedfromfemurofhumanremainsfoundonthegroundandexhumed3yearsafterdeath‏ ‎‡A A qualitative study of compact bone microstructure and nuclear short tandem repeat obtained from femur of human remains found on the ground and exhumed 3 years after death.‏ ‎‡9 1‏
919		‎‡a determinationofopiatesinwholebloodandvitreoushumorastudyofthematrixeffectandanexperimentaldesigntooptimizeconditionsfortheenzymatichydrolysisofglucuronides‏ ‎‡A Determination of Opiates in Whole Blood and Vitreous Humor: A Study of the Matrix Effect and an Experimental Design to Optimize Conditions for the Enzymatic Hydrolysis of Glucuronides‏ ‎‡9 1‏
919		‎‡a braziliannormalstaticbonehistomorphometryeffectsofagesexandrace‏ ‎‡A Brazilian normal static bone histomorphometry: effects of age, sex, and race.‏ ‎‡9 1‏
919		‎‡a associationbetweentravellengthanddruguseamongbraziliantruckdrivers‏ ‎‡A Association between travel length and drug use among Brazilian truck drivers.‏ ‎‡9 1‏
919		‎‡a analysisofskeletalmusclehaspotentialvalueintheassessmentofcocainerelateddeaths‏ ‎‡A Analysis of skeletal muscle has potential value in the assessment of cocaine-related deaths.‏ ‎‡9 1‏
919		‎‡a analysisofdnainminutevolumesofbloodfromstainsandcrusts‏ ‎‡A Analysis of DNA in minute volumes of blood from stains and crusts‏ ‎‡9 1‏
943		‎‡a 201x‏ ‎‡A 2016‏ ‎‡9 1‏
946		‎‡a b‏ ‎‡9 1‏
996		‎‡2 SELIBR\|347969‏
996		‎‡2 LC\|n 86033308‏
996		‎‡2 LC\|ns2019003752‏
996		‎‡2 ISNI\|0000000077041741‏
996		‎‡2 BNF\|14584555‏
996		‎‡2 BNCHL\|10000000000000000863500‏
996		‎‡2 BNCHL\|10000000000000000824590‏
996		‎‡2 BNCHL\|10000000000000000290126‏
996		‎‡2 DNB\|1160389411‏
996		‎‡2 BNCHL\|10000000000000000278607‏
996		‎‡2 SUDOC\|276519981‏
996		‎‡2 LC\|no2021154586‏
996		‎‡2 RERO\|A008665111‏
996		‎‡2 ISNI\|0000000059289217‏
996		‎‡2 BNC\|981058615410606706‏
996		‎‡2 ISNI\|0000000081305930‏
996		‎‡2 BNF\|17129143‏
996		‎‡2 ARBABN\|000039357‏
996		‎‡2 BNF\|17786438‏
996		‎‡2 LC\|no2018144023‏
996		‎‡2 ISNI\|0000000402640124‏
996		‎‡2 BNE\|XX4583724‏
996		‎‡2 ISNI\|0000000054342859‏
996		‎‡2 ISNI\|0000000060739297‏
996		‎‡2 DNB\|1065008376‏
996		‎‡2 PLWABN\|9810593718805606‏
996		‎‡2 LC\|ns2011001370‏
996		‎‡2 BNCHL\|10000000000000000864174‏
996		‎‡2 PTBNP\|1663671‏
996		‎‡2 CAOONL\|ncf11011195‏
996		‎‡2 BNE\|XX4952434‏
996		‎‡2 ISNI\|0000000059363173‏
996		‎‡2 SUDOC\|203106881‏
996		‎‡2 BNE\|XX1148816‏
996		‎‡2 LC\|n 82240704‏
996		‎‡2 SUDOC\|139695710‏
996		‎‡2 NUKAT\|nx2023635980‏
996		‎‡2 ISNI\|0000000083458746‏
996		‎‡2 LC\|no2002026998‏
996		‎‡2 LC\|nr 00036467‏
996		‎‡2 BNC\|981060905253806706‏
996		‎‡2 BNCHL\|10000000000000000826227‏
996		‎‡2 BNCHL\|10000000000000000813091‏
996		‎‡2 DNB\|1056708735‏
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996		‎‡2 ISNI\|0000000498515546‏
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996		‎‡2 BNC\|981060730472906706‏
996		‎‡2 LC\|no2018040764‏
996		‎‡2 BNF\|15595853‏
996		‎‡2 DNB\|1057263559‏
996		‎‡2 RERO\|A009690246‏
996		‎‡2 BNCHL\|10000000000000000861773‏
996		‎‡2 LC\|n 2009062665‏
996		‎‡2 BLBNB\|000303194‏
996		‎‡2 SUDOC\|183886003‏
996		‎‡2 BNE\|XX1001943‏
996		‎‡2 SUDOC\|231217137‏
996		‎‡2 LC\|no2024124716‏
996		‎‡2 ISNI\|0000000078133541‏
996		‎‡2 LC\|n 2008035828‏
996		‎‡2 LC\|no2020065514‏
996		‎‡2 DNB\|14303197X‏
996		‎‡2 SUDOC\|139696237‏
996		‎‡2 SUDOC\|156742748‏
996		‎‡2 NUKAT\|n 2010018624‏
996		‎‡2 BNF\|14209859‏
996		‎‡2 BNE\|XX6265450‏
996		‎‡2 ISNI\|000000011762853X‏
996		‎‡2 CAOONL\|ncf11546059‏
996		‎‡2 ISNI\|0000000356350870‏
996		‎‡2 BNE\|XX1542473‏
996		‎‡2 PTBNP\|1386527‏
996		‎‡2 BNF\|13516944‏
996		‎‡2 NTA\|068088116‏
996		‎‡2 BNE\|XX4846796‏
996		‎‡2 BNE\|XX1385648‏
996		‎‡2 DNB\|1251324487‏
996		‎‡2 LC\|n 2013012674‏
996		‎‡2 LC\|no2009007699‏
996		‎‡2 LC\|no2023008325‏
996		‎‡2 LC\|no2007146066‏
996		‎‡2 BNE\|XX5454446‏
996		‎‡2 LC\|n 2017011672‏
996		‎‡2 DNB\|1103234641‏
996		‎‡2 BNE\|XX6023504‏
996		‎‡2 ISNI\|0000000055172572‏
996		‎‡2 LC\|ns2023003094‏
996		‎‡2 DBC\|87097969618189‏
996		‎‡2 BNE\|XX1091584‏
996		‎‡2 DNB\|1056597291‏
996		‎‡2 LC\|ns2018000165‏
996		‎‡2 ISNI\|000000011696606X‏
996		‎‡2 LC\|no2002090038‏
996		‎‡2 BNF\|17882631‏
996		‎‡2 LC\|n 2014190493‏
996		‎‡2 DNB\|1056214066‏
996		‎‡2 DNB\|1057943118‏
996		‎‡2 BNE\|XX4838272‏
996		‎‡2 BNF\|13494764‏
996		‎‡2 BNE\|XX6306349‏
996		‎‡2 LC\|nb2014020357‏
996		‎‡2 SUDOC\|236716654‏
996		‎‡2 J9U\|987007449952205171‏
996		‎‡2 CAOONL\|ncf11641696‏
996		‎‡2 LC\|no2021100513‏
996		‎‡2 SUDOC\|119466805‏
996		‎‡2 BNE\|XX6449326‏
996		‎‡2 DNB\|170146294‏
996		‎‡2 BNC\|981058617276306706‏
996		‎‡2 SUDOC\|050153609‏
996		‎‡2 SUDOC\|281209898‏
996		‎‡2 BNE\|XX6058444‏
996		‎‡2 LC\|no2019028966‏
996		‎‡2 BNCHL\|10000000000000000864838‏
996		‎‡2 CAOONL\|ncf10436823‏
996		‎‡2 DNB\|1047929368‏
996		‎‡2 BNE\|XX1232081‏
996		‎‡2 ISNI\|0000000060418231‏
996		‎‡2 BNF\|17082002‏
996		‎‡2 SUDOC\|197623824‏
996		‎‡2 DNB\|135066077‏
996		‎‡2 BNC\|981058525019306706‏
996		‎‡2 ISNI\|000000050599358X‏
996		‎‡2 LC\|nr2001030889‏
996		‎‡2 BNF\|18074217‏
996		‎‡2 LC\|no2021079569‏
996		‎‡2 ISNI\|0000000459761218‏
996		‎‡2 LC\|no2016139510‏
996		‎‡2 DNB\|1297116321‏
996		‎‡2 ISNI\|0000000095032232‏
996		‎‡2 ISNI\|0000000120549576‏
996		‎‡2 LC\|ns2012003272‏
996		‎‡2 BNC\|981058609111506706‏
996		‎‡2 SUDOC\|23323005X‏
996		‎‡2 BNE\|XX5047484‏
996		‎‡2 BNE\|XX1169242‏
996		‎‡2 BNC\|981058520579806706‏
996		‎‡2 ISNI\|0000000090145051‏
996		‎‡2 LC\|no2020101724‏
996		‎‡2 RERO\|A027062442‏
996		‎‡2 BNE\|XX1409979‏
996		‎‡2 BNE\|XX1546240‏
996		‎‡2 BNE\|XX931621‏
996		‎‡2 CAOONL\|ncf11300835‏
996		‎‡2 DNB\|102282628X‏
996		‎‡2 LC\|no2017145240‏
996		‎‡2 NKC\|osa2017938722‏
996		‎‡2 JPG\|500118475‏
996		‎‡2 LC\|no2022011182‏
996		‎‡2 SUDOC\|157119750‏
996		‎‡2 BNC\|981058511490006706‏
996		‎‡2 LC\|nr2001008206‏
996		‎‡2 LC\|no2021037829‏
996		‎‡2 LC\|no2010067271‏
996		‎‡2 DNB\|130293954‏
996		‎‡2 DNB\|102777587X‏
996		‎‡2 SUDOC\|19303946X‏
996		‎‡2 BNC\|981058525624506706‏
996		‎‡2 LC\|no2016041508‏
996		‎‡2 BNC\|981058523636806706‏
996		‎‡2 LC\|no2018105680‏
996		‎‡2 DNB\|1139896652‏
996		‎‡2 DNB\|1328760510‏
996		‎‡2 PLWABN\|9810693370405606‏
996		‎‡2 SUDOC\|170568288‏
996		‎‡2 BNC\|981061000994906706‏
996		‎‡2 DNB\|141449306‏
996		‎‡2 SUDOC\|195390326‏
996		‎‡2 LC\|n 81086870‏
996		‎‡2 LC\|n 97055548‏
996		‎‡2 SUDOC\|235509795‏
996		‎‡2 ISNI\|0000000358440116‏
996		‎‡2 BNC\|981058519728206706‏
996		‎‡2 DNB\|136742491‏
996		‎‡2 DNB\|1213547709‏
996		‎‡2 BNE\|XX5659038‏
996		‎‡2 DNB\|1123293910‏
996		‎‡2 LC\|nr 00000117‏
996		‎‡2 ISNI\|0000000424472707‏
996		‎‡2 ISNI\|000000005087345X‏
996		‎‡2 SUDOC\|07777549X‏
996		‎‡2 LC\|no2021154325‏
996		‎‡2 ISNI\|0000000052315566‏
996		‎‡2 LC\|n 2010046668‏
996		‎‡2 BNC\|981058523217306706‏
996		‎‡2 BIBSYS\|12024560‏
996		‎‡2 LC\|no2010151452‏
996		‎‡2 NTA\|326659625‏
996		‎‡2 LC\|no2017116098‏
996		‎‡2 DNB\|1042245703‏
996		‎‡2 BNC\|981058608339306706‏
996		‎‡2 BNCHL\|10000000000000000049687‏
996		‎‡2 SUDOC\|07075005X‏
996		‎‡2 SUDOC\|136527027‏
996		‎‡2 ISNI\|0000000059442082‏
996		‎‡2 LC\|no2021154025‏
996		‎‡2 LC\|n 2019041012‏
996		‎‡2 BNCHL\|10000000000000000195058‏
996		‎‡2 LC\|n 2024000170‏
996		‎‡2 BNE\|XX6404500‏
996		‎‡2 LC\|n 91056416‏
996		‎‡2 BNF\|17093785‏
996		‎‡2 BNF\|14404860‏
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996		‎‡2 SUDOC\|153795042‏
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996		‎‡2 BNCHL\|10000000000000000861534‏
996		‎‡2 BNE\|XX5234061‏
996		‎‡2 BNE\|XX1043781‏
996		‎‡2 ISNI\|0000000120959487‏
996		‎‡2 J9U\|987010399954205171‏
996		‎‡2 ISNI\|0000000442286983‏
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996		‎‡2 BNE\|XX1544612‏
996		‎‡2 BNCHL\|10000000000000000223333‏
996		‎‡2 BNE\|XX1192233‏
996		‎‡2 DNB\|1324565713‏
996		‎‡2 ISNI\|0000000511007264‏
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996		‎‡2 DNB\|1218472855‏
996		‎‡2 PTBNP\|1750957‏
996		‎‡2 BNCHL\|10000000000000000254270‏
996		‎‡2 DNB\|1056479310‏
996		‎‡2 BNC\|981060026692706706‏
996		‎‡2 SUDOC\|26169779X‏
996		‎‡2 BNC\|981058521619606706‏
996		‎‡2 LC\|n 2011009765‏
996		‎‡2 LC\|n 98066392‏
996		‎‡2 LC\|no2022043229‏
996		‎‡2 BNCHL\|10000000000000000273234‏
996		‎‡2 J9U\|987007446251105171‏
996		‎‡2 NUKAT\|n 2018043916‏
996		‎‡2 ISNI\|0000000059293195‏
996		‎‡2 LC\|no2017089387‏
996		‎‡2 LC\|no2021055151‏
996		‎‡2 SUDOC\|274023156‏
996		‎‡2 BNC\|981058618243206706‏
996		‎‡2 LC\|n 2024034127‏
996		‎‡2 DNB\|1053184697‏
996		‎‡2 BNE\|XX1588628‏
996		‎‡2 DNB\|1063389852‏
996		‎‡2 ISNI\|0000000059716784‏
996		‎‡2 NTA\|377304301‏
996		‎‡2 BNC\|981058520203406706‏
996		‎‡2 PLWABN\|9813694978405606‏
996		‎‡2 BNE\|XX5377698‏
996		‎‡2 BNE\|XX5083134‏
996		‎‡2 SUDOC\|202957675‏
996		‎‡2 ISNI\|0000000440109836‏
997		‎‡a 0 0 lived 0 0‏ ‎‡9 1‏

VIAF

Virtual International Authority File

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