World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
107
Citations
88660
World Ranking
572
National Ranking
285

Jun Li 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 Jun Li 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: 334 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Jun Li 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 Jun Li 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: 107 D-Index — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Overview

Jun Li is affiliated with the University of Oklahoma Health Sciences Center in the United States and has contributed extensively to research in medicine and biochemistry, genetics, and molecular biology. Their work spans multiple subfields, including molecular biology, genetics, pulmonary and respiratory medicine, reproductive medicine, and surgery.

The scientist has a notable presence in leading research journals and publication venues. Frequent publication venues include bioRxiv (Cold Spring Harbor Laboratory), Fertility and Sterility, Nature Communications, Developmental Cell, and Science Advances.

Jun Li's research topics are diverse, with a strong focus on reproductive biology and fertility, sperm and testicular function, single-cell and spatial transcriptomics, renal and related cancers, cancer genomics and diagnostics, reproductive system and pregnancy, as well as adipose tissue and metabolism.

Among their recent papers are:

  • Single-Cell RNA Sequencing of Human, Macaque, and Mouse Testes Uncovers Conserved and Divergent Features of Mammalian Spermatogenesis (2020, Developmental Cell)
  • Temporal dynamics of the multi-omic response to endurance exercise training (2024, Nature)
  • Chromosome 1q21.2 and additional loci influence risk of spontaneous coronary artery dissection and myocardial infarction (2020, Nature Communications)
  • Genetic investigation of fibromuscular dysplasia identifies risk loci and shared genetics with common cardiovascular diseases (2021, Nature Communications)
  • Participant or spectator? Comprehending the willingness of faculty to use intelligent tutoring systems in the artificial intelligence era (2020, British Journal of Educational Technology)

Collaborative work is a significant aspect of Jun Li's research. Frequent co-authors include:

  • Qianyi Ma
  • Saher Sue Hammoud
  • D. Ford Hannum
  • Ariella Shikanov
  • Ayse Bilge Ozel

Best Publications

  • The cancer genome atlas pan-cancer analysis project

    John N Weinstein;John N Weinstein;Eric A. Collisson;Gordon B Mills;Kenna R Mills Shaw;Kenna R Mills Shaw

  • The genome sequence of Drosophila melanogaster

    M. D. Adams;S. E. Celniker;R. A. Holt;C. A. Evans

  • Integrated genomic analyses of ovarian carcinoma

    D. Bell;A. Berchuck;M. Birrer;J. Chien

  • Comprehensive genomic characterization defines human glioblastoma genes and core pathways

    Roger McLendon;Allan Friedman;Darrell Bigner;Erwin G. Van Meir

  • Worldwide human relationships inferred from genome-wide patterns of variation.

    Jun Z. Li;Devin M. Absher;Hua Tang;Audrey M. Southwick

  • Pan-cancer analysis of whole genomes

    Peter J. Campbell;Gad Getz;Jan O. Korbel;Joshua M. Stuart

  • Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer.

    Katherine A. Hoadley;Christina Yau;Christina Yau;Toshinori Hinoue;Denise M. Wolf

  • Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs

    S. Hong Lee;Stephan Ripke;Stephan Ripke;Benjamin M. Neale;Benjamin M. Neale;Stephen V. Faraone

  • Signals of recent positive selection in a worldwide sample of human populations

    Joseph K. Pickrell;Graham Coop;John Novembre;Sridhar Kudaravalli

  • Genome-wide association study identifies 30 loci associated with bipolar disorder

    Eli A. Stahl;Eli A. Stahl;Gerome Breen;Andreas J. Forstner;Andrew McQuillin

  • Large-scale genome-wide association analysis of bipolar disorder identifies a new susceptibility locus near ODZ4

    Pamela Sklar;Pamela Sklar;Stephan Ripke;Stephan Ripke;Laura J. Scott;Ole A. Andreassen

  • Comprehensive Molecular Characterization of Papillary Renal-Cell Carcinoma.

    W. Marston Linehan;Paul T. Spellman;Christopher J. Ricketts;Chad J. Creighton

  • Genomic and Functional Approaches to Understanding Cancer Aneuploidy

    Alison M. Taylor;Alison M. Taylor;Juliann Shih;Gavin Ha;Gavin Ha;Galen F. Gao

  • Antibiotic-induced shifts in the mouse gut microbiome and metabolome increase susceptibility to Clostridium difficile infection

    Casey M. Theriot;Mark J. Koenigsknecht;Paul E. Carlson;Gabrielle E. Hatton

  • An Abundance of Rare Functional Variants in 202 Drug Target Genes Sequenced in 14,002 People

    Matthew R. Nelson;Daniel Wegmann;Margaret G. Ehm;Darren Kessner

  • Altered cortical glutamatergic and GABAergic signal transmission with glial involvement in depression

    Prabhakara V Choudary;M. Molnar;S. J. Evans;H. Tomita

  • Sonic hedgehog signaling is essential for hair development

    B. St-Jacques;H.R. Dassule;I. Karavanova;V.A. Botchkarev

  • Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways

    Colm O'Dushlaine;Lizzy Rossin;Phil H. Lee;Laramie Duncan;Laramie Duncan

  • The Cancer Genome Atlas Pan-Cancer analysis project

    Kyle Chang;Chad J Creighton;Caleb Davis;Lawrence Donehower

  • Integrated genomic analyses of ovarian carcinoma

    D. Bell;A. Berchuck;M. Birrer;J. Chien

Frequent Co-Authors

Richard M. Myers
Richard M. Myers HudsonAlpha Institute for Biotechnology
Huda Akil
Huda Akil University of Michigan–Ann Arbor
Alan F. Schatzberg
Alan F. Schatzberg Stanford University
William E. Bunney
William E. Bunney University of California, Irvine
Margit Burmeister
Margit Burmeister University of Michigan–Ann Arbor
Edward G. Jones
Edward G. Jones University of California, Davis
David Ginsburg
David Ginsburg University of Michigan–Ann Arbor
Stanley J. Watson
Stanley J. Watson University of Michigan–Ann Arbor
Devin Absher
Devin Absher University of Queensland
Shaun Purcell
Shaun Purcell Harvard Medical School

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