World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
55
Citations
21071
World Ranking
3540
National Ranking
421

Jonathan Marten 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 Jonathan Marten 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: 101 publications — 8th percentile

8% of scientists in this discipline score the same or lower.

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

Jonathan Marten 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 Jonathan Marten 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: 55 D-Index — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Overview

Jonathan Marten is affiliated with the University of Edinburgh in the United Kingdom. Their research primarily spans the fields of Biochemistry, Genetics and Molecular Biology, along with Medicine. Within these main fields, the focus includes subfields such as Molecular Biology, Genetics, Cardiology and Cardiovascular Medicine, Physiology, and Endocrinology, Diabetes and Metabolism.

The scientist's work covers a range of topics including Genetic Associations and Epidemiology, RNA modifications and cancer, RNA Research and Splicing, Adipose Tissue and Metabolism, Inflammasome and immune disorders, Bioinformatics and Genomic Networks, and Microbial Metabolic Engineering and Bioproduction.

Jonathan Marten's recent publications illustrate the thematic diversity and scope of their research. Recent papers include:

  • "Genetics of circulating inflammatory proteins identifies drivers of immune-mediated disease risk and therapeutic targets" (2023, Nature Immunology)
  • "Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals" (2022, Nature Genetics)
  • "Chronic obstructive pulmonary disease and related phenotypes: polygenic risk scores in population-based and case-control cohorts" (2020, The Lancet Respiratory Medicine)
  • "Multi-ancestry GWAS of the electrocardiographic PR interval identifies 202 loci underlying cardiac conduction" (2020, Nature Communications)
  • "The Carbon Footprint of Bioinformatics" (2022, Molecular Biology and Evolution)

Frequent co-authors in Jonathan Marten's research network include John Danesh, Lawrence F. Bielak, Caroline Hayward, Albert V. Smith, and Mary F. Feitosa. Collaboration with these co-authors is evident from multiple joint publications.

Their work has been published repeatedly in prominent venues such as UNC Libraries, bioRxiv (Cold Spring Harbor Laboratory), Nature Genetics, Digital Commons@Becker (Washington University School of Medicine), and Nature Immunology.

Best Publications

  • Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals

    James J. Lee;Robbee Wedow;Aysu Okbay;Edward Kong

  • Genome-wide association study identifies 74 loci associated with educational attainment

    Aysu Okbay;Jonathan P. Beauchamp;Mark Alan Fontana;James J. Lee

  • Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits.

    Evangelos Evangelou;Evangelos Evangelou;Helen R. Warren;Helen R. Warren;David Mosen-Ansorena;Borbala Mifsud

  • Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries

    Mary F. Feitosa;Aldi T. Kraja;Daniel I. Chasman;Yun J. Sung

  • 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 association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk

    Helen R Warren;Evangelos Evangelou;Evangelos Evangelou;Claudia P Cabrera;He Gao

  • New genetic signals for lung function highlight pathways and chronic obstructive pulmonary disease associations across multiple ancestries

    Shrine N;Guyatt Al;Erzurumluoglu Am;Jackson Ve;Jackson Ve;Jackson Ve

  • Large-scale genomic analyses link reproductive aging to hypothalamic signaling, breast cancer susceptibility and BRCA1-mediated DNA repair

    Felix R. Day;Katherine S. Ruth;Deborah J Thompson;Kathryn L. Lunetta

  • Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes

    Anubha Mahajan;Jennifer Wessel;Sara M. Willems;Wei Zhao

  • Meta-analysis of Genome-wide Association Studies for Neuroticism, and the Polygenic Association With Major Depressive Disorder

    Marleen H.M. De Moor;Stéphanie M. Van Den Berg;Karin J.H. Verweij;Karin J.H. Verweij;Robert F. Krueger

  • Genome-wide physical activity interactions in adiposity. A meta-analysis of 200,452 adults

    Mariaelisa Graff;Robert A. Scott;Anne E. Justice;Kristin L. Young

  • Target genes, variants, tissues and transcriptional pathways influencing human serum urate levels

    Adrienne Tin;Jonathan Marten;Victoria L. Halperin Kuhns;Yong Li

  • Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension

    Praveen Surendran;Fotios Drenos;Robin Young;Helen Warren

  • Genome-wide association analyses for lung function and chronic obstructive pulmonary disease identify new loci and potential druggable targets

    Louise V. Wain;Louise V. Wain;Nick Shrine;María Soler Artigas;A. Mesut Erzurumluoglu

  • Genetic insights into biological mechanisms governing human ovarian ageing.

    Katherine S. Ruth;Felix R. Day;Jazib Hussain;Ana Martínez-Marchal

  • Large-Scale Genomic Analyses Link Reproductive Aging to Hypothalamic Signaling, Breast Cancer Susceptibility, and BRCA1-Mediated DNA Repair EDITORIAL COMMENT

    Felix R. Day;Katherine S. Ruth;Deborah J. Thompson;Kathryn L. Lunetta;Kathryn L. Lunetta

  • Large-scale genomic analyses link reproductive ageing to hypothalamic signaling, breast cancer susceptibility and BRCA1-mediated DNA repair

    Felix R. Day;Katherine S. Ruth;Deborah J. Thompson;Kathryn L. Lunetta

  • Genetic landscape of chronic obstructive pulmonary disease identifies heterogeneous cell-type and phenotype associations

    Phuwanat Sakornsakolpat;Dmitry Prokopenko;Maxime Lamontagne;Nicola F. Reeve

  • Genome-wide association study identifies 74 loci associated with educational attainment

    Aysu Okbay;Jonathan P. Beauchamp;Mark Alan Fontana;James J. Lee

  • Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits

    Evangelos Evangelou;Helen R. Warren;David Mosen-Ansorena;Borbala Mifsu

Frequent Co-Authors

Caroline Hayward
Caroline Hayward University of Edinburgh
Ozren Polasek
Ozren Polasek University of Split
Bruce M. Psaty
Bruce M. Psaty University of Washington
Olli T. Raitakari
Olli T. Raitakari Turku University Hospital
Tonu Esko
Tonu Esko University of Tartu
Igor Rudan
Igor Rudan University of Edinburgh
Andrew P. Morris
Andrew P. Morris University of Liverpool
Terho Lehtimäki
Terho Lehtimäki Tampere University
Nilesh J. Samani
Nilesh J. Samani University of Leicester
André G. Uitterlinden
André G. Uitterlinden Erasmus University Rotterdam

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