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Genetics

D-Index
88
Citations
54281
World Ranking
1142
National Ranking
91

Martina Müller-Nurasyid publication distribution in Genetics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Genetics in 2026. The highlighted bar marks where Martina Müller-Nurasyid sits on this spectrum.

45–54 publications: 6 scientists 55–64 publications: 10 scientists 65–74 publications: 35 scientists 75–84 publications: 84 scientists 85–94 publications: 102 scientists 95–104 publications: 151 scientists 105–114 publications: 175 scientists 115–124 publications: 203 scientists 125–134 publications: 217 scientists 135–144 publications: 205 scientists 145–154 publications: 193 scientists 155–164 publications: 188 scientists 165–174 publications: 170 scientists 175–184 publications: 178 scientists 185–194 publications: 164 scientists 195–204 publications: 173 scientists 205–214 publications: 159 scientists 215–224 publications: 134 scientists 225–234 publications: 143 scientists 235–244 publications: 105 scientists 245–254 publications: 114 scientists 255–264 publications: 92 scientists 265–274 publications: 88 scientists 275–284 publications: 87 scientists 285–294 publications: 80 scientists 295–304 publications: 62 scientists 305–314 publications: 75 scientists 315–324 publications: 67 scientists 325–334 publications: 60 scientists 335–344 publications: 52 scientists 345–354 publications: 40 scientists 355–364 publications: 48 scientists 365–374 publications: 47 scientists 375–384 publications: 46 scientists 385–394 publications: 31 scientists 395–404 publications: 27 scientists 405–414 publications: 40 scientists 415–424 publications: 30 scientists 425–434 publications: 43 scientists 435–444 publications: 29 scientists 445–454 publications: 14 scientists 455–464 publications: 28 scientists 465–474 publications: 21 scientists 475–484 publications: 21 scientists 485–494 publications: 22 scientists 495–504 publications: 17 scientists 505–514 publications: 12 scientists 515–524 publications: 11 scientists 525–534 publications: 8 scientists 535–544 publications: 8 scientists 545–554 publications: 14 scientists 555–564 publications: 4 scientists 565–574 publications: 11 scientists 575–584 publications: 5 scientists 585–594 publications: 11 scientists 595–604 publications: 12 scientists 605–614 publications: 7 scientists 615–624 publications: 6 scientists 625–634 publications: 10 scientists 635–644 publications: 9 scientists 645–654 publications: 10 scientists 655–664 publications: 6 scientists 665–674 publications: 6 scientists 675–684 publications: 6 scientists 685–694 publications: 4 scientists 695–702 publications: 6 scientists 703+ publications: 100 scientists
45 publications 703+

This scientist: 197 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 703 publications or more.

Martina Müller-Nurasyid D-index placement in Genetics in 2026

The chart shows the D-index (discipline H-index) distribution of Genetics scientists ranked by Research.com in 2026. The highlighted bar marks where Martina Müller-Nurasyid sits on this spectrum.

40–41 D-Index: 24 scientists 42–43 D-Index: 52 scientists 44–45 D-Index: 84 scientists 46–47 D-Index: 112 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 141 scientists 52–53 D-Index: 143 scientists 54–55 D-Index: 145 scientists 56–57 D-Index: 179 scientists 58–59 D-Index: 162 scientists 60–61 D-Index: 175 scientists 62–63 D-Index: 191 scientists 64–65 D-Index: 172 scientists 66–67 D-Index: 184 scientists 68–69 D-Index: 164 scientists 70–71 D-Index: 158 scientists 72–73 D-Index: 150 scientists 74–75 D-Index: 136 scientists 76–77 D-Index: 127 scientists 78–79 D-Index: 127 scientists 80–81 D-Index: 111 scientists 82–83 D-Index: 110 scientists 84–85 D-Index: 110 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 102 scientists 90–91 D-Index: 66 scientists 92–93 D-Index: 72 scientists 94–95 D-Index: 70 scientists 96–97 D-Index: 54 scientists 98–99 D-Index: 60 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 55 scientists 104–105 D-Index: 45 scientists 106–107 D-Index: 42 scientists 108–109 D-Index: 28 scientists 110–111 D-Index: 39 scientists 112–113 D-Index: 25 scientists 114–115 D-Index: 31 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 34 scientists 120–121 D-Index: 29 scientists 122–123 D-Index: 29 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 27 scientists 128–129 D-Index: 22 scientists 130–131 D-Index: 16 scientists 132–133 D-Index: 11 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 21 scientists 140–141 D-Index: 4 scientists 142–143 D-Index: 9 scientists 144–145 D-Index: 14 scientists 146–147 D-Index: 6 scientists 148–149 D-Index: 10 scientists 150–151 D-Index: 7 scientists 152–153 D-Index: 9 scientists 154–155 D-Index: 8 scientists 156–157 D-Index: 8 scientists 158–159 D-Index: 9 scientists 160+ D-Index: 96 scientists
40 D-Index 160+

This scientist: 88 D-Index — 74th percentile

74% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 160 D-Index or more.

Research.com Recognitions

  • 2024 - Research.com Rising Stars Award
  • 2023 - Research.com Rising Stars Award
  • 2022 - Research.com Rising Stars Award

Overview

Martina Müller-Nurasyid is affiliated with Johannes Gutenberg University of Mainz in Germany. Their research primarily covers the fields of Biochemistry, Genetics and Molecular Biology, and Medicine, with significant contributions spanning subfields such as Molecular Biology, Genetics, Cardiology and Cardiovascular Medicine, Immunology, and Epidemiology.

Their research topics focus on Genetic Associations and Epidemiology, Epigenetics and DNA Methylation, Cardiac Electrophysiology and Arrhythmias, RNA Modifications and Cancer, Bioinformatics and Genomic Networks, Cardiomyopathy and Myosin Studies, and Cancer-related Gene Regulation.

Müller-Nurasyid has contributed to numerous studies published across various outlets. Frequent publication venues include Nature Communications, UNC Libraries, bioRxiv (Cold Spring Harbor Laboratory), Nature Genetics, and United European Gastroenterology Journal.

Some notable recent papers include:

  • Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression, 2021, Nature Genetics
  • Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals, 2020, Nature Genetics
  • Sex-dimorphic genetic effects and novel loci for fasting glucose and insulin variability, 2021, Nature Communications
  • Identification of 371 genetic variants for age at first sex and birth linked to externalising behaviour, 2021, Nature Human Behaviour
  • Genome-wide association meta-analysis for early age-related macular degeneration highlights novel loci and insights for advanced disease, 2020, BMC Medical Genomics

Their collaborative network includes frequent co-authorship with:

  • Annette Peters
  • Konstantin Strauch
  • Christian Gieger
  • Thomas Meitinger
  • Mélanie Waldenberger

Müller-Nurasyid's accumulated work reflects extensive involvement in genetic epidemiology and molecular biology, with multiple publications analyzing complex traits related to cardiovascular function, metabolic processes, and genetic regulation underlying various health conditions.

Best Publications

  • Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants

    Bin Zhou;Rodrigo M Carrillo-Larco;Goodarz Danaei;Leanne M Riley

  • Discovery and refinement of loci associated with lipid levels

    Cristen J. Willer;Ellen M. Schmidt;Sebanti Sengupta;Gina M. Peloso;Gina M. Peloso;Gina M. Peloso

  • Worldwide trends in blood pressure from 1975 to 2015: a pooled analysis of 1479 population-based measurement studies with 19·1 million participants

    Bin Zhou;James Bentham;Mariachiara Di Cesare;Honor Bixby

  • Defining the role of common variation in the genomic and biological architecture of adult human height

    Andrew R. Wood;Tonu Esko;Jian Yang;Sailaja Vedantam

  • Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes

    Andrew P Morris;Benjamin F Voight;Benjamin F Voight;Tanya M Teslovich;Teresa Ferreira

  • Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression

    Urmo Võsa;Annique Claringbould;Annique Claringbould;Harm-Jan Westra;Marc Jan Bonder

  • Large-scale association analysis identifies new risk loci for coronary artery disease

    Panos Deloukas;Stavroula Kanoni;Christina Willenborg;Martin Farrall

  • Genetic studies of body mass index yield new insights for obesity biology

    Adam E. Locke;Bratati Kahali;Sonja I. Berndt;Anne E. Justice

  • The genetic architecture of type 2 diabetes

    Christian Fuchsberger;Christian Fuchsberger;Jason A. Flannick;Jason A. Flannick;Tanya M. Teslovich;Anubha Mahajan

  • Common variants associated with plasma triglycerides and risk for coronary artery disease

    Ron Do;Cristen J. Willer;Ellen M. Schmidt;Sebanti Sengupta

  • Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility.

    Anubha Mahajan;Min Jin Go;Weihua Zhang;Jennifer E. Below

  • Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways

    Robert A Scott;Vasiliki Lagou;Ryan P Welch;Eleanor Wheeler

  • Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences

    Richard Karlsson Linnér;Richard Karlsson Linnér;Pietro Biroli;Edward Kong;S. Fleur W. Meddens;S. Fleur W. Meddens

  • Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture

    Sonja I Berndt;Stefan Gustafsson;Stefan Gustafsson;Reedik Mägi;Reedik Mägi;Andrea Ganna

  • Multi-Ethnic Genome-wide Association Study for Atrial Fibrillation

    Carolina Roselli;Mark D. Chaffin;Lu Chen Weng;Lu Chen Weng;Stefanie Aeschbacher

  • An Expanded Genome-Wide Association Study of Type 2 Diabetes in Europeans

    Robert A. Scott;Laura J. Scott;Reedik Mägi;Letizia Marullo

  • Meta-analysis identifies six new susceptibility loci for atrial fibrillation

    Patrick T Ellinor;Kathryn L Lunetta;Christine M Albert;Christine M Albert;Nicole L Glazer

  • The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study

    Thomas W. Winkler;Anne E. Justice;Mariaelisa Graff;Llilda Barata

  • Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors

    Nicole M Warrington;Robin N Beaumont;Momoko Horikoshi;Felix R Day

  • Rare variant in scavenger receptor BI raises HDL cholesterol and increases risk of coronary heart disease

    Zanoni P;Khetarpal Sa;Larach Db;Hancock-Cerutti Wf

Frequent Co-Authors

Annette Peters
Annette Peters Ludwig-Maximilians-Universität München
Tonu Esko
Tonu Esko University of Tartu
Paul W. Franks
Paul W. Franks Lund University
Markus Perola
Markus Perola Finnish Institute for Health and Welfare
Nilesh J. Samani
Nilesh J. Samani University of Leicester
Terho Lehtimäki
Terho Lehtimäki Tampere University
Panos Deloukas
Panos Deloukas Queen Mary University of London
Bruce M. Psaty
Bruce M. Psaty University of Washington
Erik Ingelsson
Erik Ingelsson Stanford University

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