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Genetics
UK
2024

D-Index & Metrics

Genetics

D-Index
115
Citations
157917
World Ranking
446
National Ranking
74

Gil McVean 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 Gil McVean 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: 250 publications — 66th percentile

66% of scientists in this discipline score the same or lower.

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

Gil McVean 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 Gil McVean 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: 115 D-Index — 90th percentile

90% 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 Genetics in United Kingdom Leader Award
  • 2023 - Research.com Genetics in United Kingdom Leader Award
  • 2016 - Fellow of the Royal Society, United Kingdom

Overview

Gil McVean is affiliated with the University of Oxford in the United Kingdom. Their research spans several key areas within the broad fields of biochemistry, genetics, and molecular biology, with a notable focus on genetics, molecular biology, immunology, epidemiology, and oncology.

The scientist's work is concentrated on topics related to genetic associations and epidemiology, genomics and phylogenetic studies, genetic mapping and diversity in plants and animals, IL-33, ST2, and ILC pathways, genetic diversity and population structure, genetic and phenotypic traits in livestock, as well as epigenetics and DNA methylation.

Gil McVean's publication record includes notable recent papers such as:

  • UK Biobank release and systematic evaluation of optimised polygenic risk scores for 53 diseases and quantitative traits, 2022, bioRxiv (Cold Spring Harbor Laboratory)
  • Dating genomic variants and shared ancestry in population-scale sequencing data, 2020, PLoS Biology
  • A unified genealogy of modern and ancient genomes, 2022, Science
  • Recommendations for improving statistical inference in population genomics, 2022, PLoS Biology
  • The impact of age on genetic risk for common diseases, 2021, PLoS Genetics

Collaborations have been frequent with peers including Alexander J. Mentzer, Vincent Plagnol, Michael E. Weale, Fernando Riveros-Mckay, and Priyanka Seth, reflecting interdisciplinary and cooperative scientific efforts.

Their research has been published predominantly in venues such as:

  • Zenodo (CERN European Organization for Nuclear Research)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Communications
  • PLoS Biology
  • PLoS Genetics

Gil McVean's work encompasses 63 publications in biochemistry, genetics, and molecular biology, with 34 publications relating to medicine.

In recognition of their contributions, Gil McVean was awarded the title of Fellow of the Royal Society in the United Kingdom in 2016.

Best Publications

  • A global reference for human genetic variation.

    Adam Auton;Gonçalo R. Abecasis;David M. Altshuler;Richard M. Durbin

  • The variant call format and VCFtools

    Petr Danecek;Adam Auton;Goncalo Abecasis;Cornelis A. Albers

  • An integrated map of genetic variation from 1,092 human genomes

    Goncalo R Abecasis;Adam Auton;Lisa D Brooks

  • Table S2: Trans-factors and trinucleotide repeat instability Trans-factor

    Arturo López Castel;John D Cleary;Christopher E Pearson

  • A Map of Human Genome Variation From Population-Scale Sequencing

    Gonçalo R Abecasis;David Altshuler;David Altshuler;Adam Auton

  • The UK Biobank resource with deep phenotyping and genomic data

    Clare Bycroft;Colin Freeman;Desislava Petkova;Desislava Petkova;Gavin Band

  • The International HapMap Project

    John W. Belmont;Paul Hardenbol;Thomas D. Willis;Fuli Yu

  • A haplotype map of the human genome

    John W. Belmont;Andrew Boudreau;Suzanne M. Leal;Paul Hardenbol

  • A second generation human haplotype map of over 3.1 million SNPs

    Kelly A. Frazer;Dennis G. Ballinger;David R. Cox;David A. Hinds

  • Integrating common and rare genetic variation in diverse human populations

    D M Altshuler;R A Gibbs;L Peltonen

  • Detecting Novel Associations in Large Data Sets

    David N. Reshef;David N. Reshef;David N. Reshef;Yakir A. Reshef;Yakir A. Reshef;Hilary K. Finucane;Sharon R. Grossman;Sharon R. Grossman

  • A new multipoint method for genome-wide association studies by imputation of genotypes

    Jonathan Marchini;Bryan Howie;Simon Myers;Gil McVean

  • Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis

    Stephen Sawcer;Garrett Hellenthal;Matti Pirinen;Chris C. A. Spencer

  • Genome-wide detection and characterization of positive selection in human populations

    Pardis C. Sabeti;Pardis C. Sabeti;Patrick Varilly;Patrick Varilly;Ben Fry;Jason Lohmueller

  • Analysis of immune-related loci identifies 48 new susceptibility variants for multiple sclerosis

    Ashley H. Beecham;Nikolaos A. Patsopoulos;Nikolaos A. Patsopoulos;Dionysia K. Xifara;Mary F. Davis

  • Mapping copy number variation by population-scale genome sequencing

    Ryan E. Mills;Klaudia Walter;Chip Stewart;Robert E. Handsaker

  • A Fine-Scale Map of Recombination Rates and Hotspots Across the Human Genome

    Simon Myers;Leonardo Bottolo;Colin Freeman;Gil McVean

  • The genetic architecture of type 2 diabetes

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

  • The fine-scale structure of recombination rate variation in the human genome.

    Gilean A. T. McVean;Simon R. Myers;Sarah Hunt;Panos Deloukas

  • Integrating mapping-, assembly- and haplotype-based approaches for calling variants in clinical sequencing applications

    A Rimmer;H Phan;I Mathieson;Z Iqbal

Frequent Co-Authors

Peter Donnelly
Peter Donnelly University of Oxford
Dominic P. Kwiatkowski
Dominic P. Kwiatkowski University of Oxford
Lars Fugger
Lars Fugger University of Oxford
David A. Hafler
David A. Hafler Yale University
Adam Auton
Adam Auton 23andMe (United States)
Sarah Hunt
Sarah Hunt European Bioinformatics Institute
Stephen Sawcer
Stephen Sawcer University of Cambridge
Mark J. Daly
Mark J. Daly Massachusetts General Hospital
David Altshuler
David Altshuler Harvard University

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