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Genetics
UK
2024
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Genetics and Molecular Biology
UK
2024

D-Index & Metrics

Genetics

D-Index
125
Citations
210057
World Ranking
307
National Ranking
54

Peter Donnelly 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 Peter Donnelly 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: 262 publications — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Peter Donnelly 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 Peter Donnelly 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: 125 D-Index — 93rd percentile

93% 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
  • 2024 - Research.com Genetics and Molecular Biology in United Kingdom Leader Award
  • 2023 - Research.com Genetics in United Kingdom Leader Award
  • 2006 - Fellow of the Royal Society, United Kingdom

Overview

Peter Donnelly is affiliated with the University of Oxford in the United Kingdom. Their research spans Medicine and Biochemistry, Genetics and Molecular Biology, with a particular focus on Genetics, Molecular Biology, and Epidemiology. Additional subfields include Public Health, Environmental and Occupational Health, and Pulmonary and Respiratory Medicine.

The main topics addressed in their work include Genetic Associations and Epidemiology, Health Promotion and Cardiovascular Prevention, Epigenetics and DNA Methylation, Cardiovascular Health and Risk Factors, Chromosomal and Genetic Variations, DNA Repair Mechanisms, and Health Systems, Economic Evaluations, and Quality of Life.

Frequent collaborators in their research include:

  • Michael E. Weale
  • Vincent Plagnol
  • Fernando Riveros-Mckay
  • Saskia Selzam
  • Rachel Moore

Peter Donnelly has published regularly in several academic venues, including:

  • Zenodo (CERN European Organization for Nuclear Research)
  • Circulation
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Pediatric Critical Care Medicine
  • Journal of Cardiothoracic and Vascular Anesthesia

Notable papers authored or coauthored by Donnelly include:

  • UK Biobank release and systematic evaluation of optimised polygenic risk scores for 53 diseases and quantitative traits (2022, bioRxiv)
  • Platypus and echidna genomes reveal mammalian biology and evolution (2021, Nature)
  • The Configuration of RPA, RAD51, and DMC1 Binding in Meiosis Reveals the Nature of Critical Recombination Intermediates (2020, Molecular Cell)
  • Genotyping and population characteristics of the China Kadoorie Biobank (2023, Cell Genomics)
  • A systematic evaluation of the performance and properties of the UK Biobank Polygenic Risk Score (PRS) Release (2024, PLoS ONE)

Peter Donnelly was recognized as a Fellow of the Royal Society, United Kingdom, in 2006.

Best Publications

  • Inference of population structure using multilocus genotype data

    Jonathan K. Pritchard;Matthew Stephens;Peter Donnelly

  • A global reference for human genetic variation.

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

  • 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

  • Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls

    Paul R. Burton;David G. Clayton;Lon R. Cardon;Nick Craddock

  • A new statistical method for haplotype reconstruction from population data.

    Matthew Stephens;Nicholas J. Smith;Peter Donnelly

  • 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

  • A flexible and accurate genotype imputation method for the next generation of genome-wide association studies.

    Bryan N. Howie;Peter Donnelly;Peter Donnelly;Jonathan Marchini

  • A Comparison of Bayesian Methods for Haplotype Reconstruction from Population Genotype Data

    Matthew Stephens;Peter Donnelly

  • 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 association study identifies five new schizophrenia loci

    Stephan Ripke;Alan R. Sanders;Kenneth S. Kendler;Douglas F. Levinson

  • 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

  • Association Mapping in Structured Populations

    Jonathan K. Pritchard;Matthew Stephens;Noah A. Rosenberg;Peter Donnelly

  • Transcriptome and genome sequencing uncovers functional variation in humans

    Tuuli Lappalainen;Michael Sammeth;Marc R. Friedländer;Peter A. C. ‘t Hoen

  • 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

  • Replicating genotype–phenotype associations

    Stephen J. Chanock;Teri Manolio;Michael Boehnke;Eric Boerwinkle

Frequent Co-Authors

Sarah Hunt
Sarah Hunt European Bioinformatics Institute
Panos Deloukas
Panos Deloukas Queen Mary University of London
Matthew A. Brown
Matthew A. Brown Guy's and St Thomas' NHS Foundation Trust
Colin N. A. Palmer
Colin N. A. Palmer University of Dundee
Matti Pirinen
Matti Pirinen University of Helsinki
Jenefer M. Blackwell
Jenefer M. Blackwell Telethon Kids Institute
Sarah Edkins
Sarah Edkins Cardiff University
David Altshuler
David Altshuler Harvard University

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