World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
110
Citations
44351
World Ranking
537
National Ranking
273

Jonathan Flint 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 Flint 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: 353 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Jonathan Flint 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 Flint 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: 110 D-Index — 88th percentile

88% 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

  • 2019 - Fellow of the Royal Society, United Kingdom

Overview

Jonathan Flint is affiliated with the University of California, Los Angeles in the United States. Their primary research focus lies within the field of Biochemistry, Genetics and Molecular Biology, with significant contributions in the subfields of Genetics, Molecular Biology, and Experimental and Cognitive Psychology. Additional areas of work include Artificial Intelligence and Physiology.

The scientist's research spans various topics, including:

  • Genetic Associations and Epidemiology
  • Genetic Mapping and Diversity in Plants and Animals
  • Bioinformatics and Genomic Networks
  • Emotion and Mood Recognition
  • Speech Recognition and Synthesis
  • Voice and Speech Disorders
  • Genetic and phenotypic traits in livestock

Recent notable publications by Jonathan Flint include:

  • "Minimal phenotyping yields genome-wide association signals of low specificity for major depression" (2020), published in Nature Genetics
  • "Cross-trait assortative mating is widespread and inflates genetic correlation estimates" (2022), published in Science
  • "The genetic basis of major depressive disorder" (2023), published in Molecular Psychiatry
  • "A Robust Method Uncovers Significant Context-Specific Heritability in Diverse Complex Traits" (2020), published in The American Journal of Human Genetics
  • "Massively scaled-up testing for SARS-CoV-2 RNA via next-generation sequencing of pooled and barcoded nasal and saliva samples" (2021), published in Nature Biomedical Engineering

Jonathan Flint frequently publishes in the following venues:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • European Neuropsychopharmacology
  • Nature Genetics
  • The American Journal of Human Genetics
  • American Journal of Medical Genetics Part B Neuropsychiatric Genetics

The scientist has collaborated extensively with several co-authors, including Kenneth S. Kendler, Na Cai, Andrew J. Schork, Noah Zaitlen, and Abeer Alwan, with numerous joint publications.

Among their accolades, Jonathan Flint was named a Fellow of the Royal Society, United Kingdom, in 2019.

Best Publications

  • Missing heritability and strategies for finding the underlying causes of complex disease

    Evan E. Eichler;Jonathan Flint;Greg Gibson;Augustine Kong

  • Mouse genomic variation and its effect on phenotypes and gene regulation

    T M Keane;L Goodstadt;P Danecek;M A White

  • Copy number polymorphism in Fcgr3 predisposes to glomerulonephritis in rats and humans

    Timothy J. Aitman;Rong Dong;Timothy J. Vyse;Penny J. Norsworthy

  • Sparse whole-genome sequencing identifies two loci for major depressive disorder

    Na Cai;Tim B. Bigdeli;Warren Kretzschmar;Yihan Li

  • The genetics of major depression.

    Jonathan Flint;Kenneth S. Kendler

  • Meta-analysis of genetic association studies

    Marcus R. Munafò;Jonathan Flint

  • Gene X environment interactions at the serotonin transporter locus.

    Marcus R. Munafò;Caroline Durrant;Glyn Lewis;Jonathan Flint

  • Genome-wide genetic association of complex traits in heterogeneous stock mice

    William Valdar;Leah C Solberg;Leah C Solberg;Dominique Gauguier;Stephanie Burnett

  • Strategies for mapping and cloning quantitative trait genes in rodents

    Jonathan Flint;William Valdar;Sagiv Shifman;Richard Mott

  • The detection of subtelomeric chromosomal rearrangements in idiopathic mental retardation.

    Jonathan Flint;Andrew O.M. Wilkie;Veronica J. Buckle;Robin M. Winter

  • Genetic architecture of quantitative traits in mice, flies, and humans.

    Jonathan Flint;Trudy F.C. Mackay

  • The population genetics of the haemoglobinopathies.

    Jonathan Flint;Rosalind M. Harding;Anthony J. Boyce;John B. Clegg

  • Subtle chromosomal rearrangements in children with unexplained mental retardation.

    Samantha J L Knight;Regina Regan;Alison Nicod;Sharon W Horsley

  • The endophenotype concept in psychiatric genetics

    Jonathan Flint;Marcus R. Munafò

  • Genome-wide Generation and Systematic Phenotyping of Knockout Mice Reveals New Roles for Many Genes

    Jacqueline K White;Anna-Karin Gerdin;Natasha A Karp;Ed Ryder

  • The nature and identification of quantitative trait loci: a community's view.

    Oduola Abiola;Joe M. Angel;Philip Avner;Alexander A. Bachmanov

  • High frequencies of alpha-thalassaemia are the result of natural selection by malaria.

    J Flint;A V Hill;D K Bowden;S J Oppenheimer

  • A method for fine mapping quantitative trait loci in outbred animal stocks.

    Richard Mott;Christopher J. Talbot;Maria G. Turri;Allan C. Collins

  • Genetic polymorphisms and personality in healthy adults: a systematic review and meta-analysis.

    M. R. Munafò;T. G. Clark;L. R. Moore;Elizabeth Payne

  • A simple genetic basis for a complex psychological trait in laboratory mice

    Jonathan Flint;Robin Corley;John C. DeFries;David W. Fulker

Frequent Co-Authors

Richard Mott
Richard Mott University College London
Kenneth S. Kendler
Kenneth S. Kendler Virginia Commonwealth University
Marcus R. Munafò
Marcus R. Munafò University of Bath
David J. Adams
David J. Adams Wellcome Sanger Institute
Alberto Fernández-Teruel
Alberto Fernández-Teruel Autonomous University of Barcelona
Thomas M. Keane
Thomas M. Keane European Bioinformatics Institute
Samantha J.L. Knight
Samantha J.L. Knight University of Oxford
Douglas R. Higgs
Douglas R. Higgs University of Oxford
Brien P. Riley
Brien P. Riley Virginia Commonwealth University
Bradley T. Webb
Bradley T. Webb Virginia Commonwealth University

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