World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
94
Citations
96544
World Ranking
914
National Ranking
455

Hyun Min Kang 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 Hyun Min Kang 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: 213 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

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

Hyun Min Kang 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 Hyun Min Kang 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: 94 D-Index — 79th percentile

79% of scientists in this discipline score the same or lower.

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

Overview

Hyun Min Kang is affiliated with the University of Michigan-Ann Arbor in the United States. Their research spans predominantly the fields of Biochemistry, Genetics and Molecular Biology, with a significant focus also on Medicine. The scientist's work covers several subfields including Genetics, Molecular Biology, Immunology, Infectious Diseases, and Cancer Research.

The primary research topics explored by Hyun Min Kang encompass Genetic Associations and Epidemiology, Genomics and Rare Diseases, Single-cell and Spatial Transcriptomics, Cancer Genomics and Diagnostics, SARS-CoV-2 and COVID-19 Research, Genomic Variations and Chromosomal Abnormalities, as well as Bioinformatics and Genomic Networks.

Hyun Min Kang has contributed to numerous publications featured in various scientific venues. Frequent publication outlets include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • UNC Libraries
  • Nature Communications
  • Nature
  • Zenodo (CERN European Organization for Nuclear Research)

Their notable recent papers illustrate a range of collaborative projects within high-impact journals. These include:

  • Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program, 2021, Nature
  • Plasma proteomic associations with genetics and health in the UK Biobank, 2023, Nature
  • Exome sequencing and analysis of 454,787 UK Biobank participants, 2021, Nature
  • Rare coding variants in ten genes confer substantial risk for schizophrenia, 2022, Nature
  • Microscopic examination of spatial transcriptome using Seq-Scope, 2021, Cell

Hyun Min Kang has collaborated extensively with several frequent co-authors, reflecting long-term research partnerships. These co-authors include:

  • Gonçalo R. Abecasis
  • Adam E. Locke
  • Joelle Mbatchou
  • Jeffrey G. Reid
  • Charles Kooperberg

Best Publications

  • 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

  • A reference panel of 64,976 haplotypes for genotype imputation

    Shane McCarthy;Sayantan Das;Warren Kretzschmar;Olivier Delaneau

  • Variance component model to account for sample structure in genome-wide association studies

    Hyun Min Kang;Jae Hoon Sul;Noah A. Zaitlen

  • Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program.

    Daniel Taliun;Daniel N. Harris;Michael D. Kessler;Jedidiah Carlson;Jedidiah Carlson

  • 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

  • Efficient Control of Population Structure in Model Organism Association Mapping

    Hyun Min Kang;Noah A. Zaitlen;Claire M. Wade;Claire M. Wade;Andrew Kirby;Andrew Kirby

  • Evolution and functional impact of rare coding variation from deep sequencing of human exomes

    Jacob A. Tennessen;Abigail W. Bigham;Timothy D. O'Connor;Wenqing Fu

  • Large-scale association analysis identifies new risk loci for coronary artery disease

    Panos Deloukas;Stavroula Kanoni;Christina Willenborg;Martin Farrall

  • Efficiently controlling for case-control imbalance and sample relatedness in large-scale genetic association studies

    Wei Zhou;Jonas B. Nielsen;Lars G. Fritsche;Rounak Dey

  • Mapping copy number variation by population-scale genome sequencing

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

  • The genetic architecture of type 2 diabetes

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

  • Identification of 15 new psoriasis susceptibility loci highlights the role of innate immunity

    Lam C. Tsoi;Sarah L. Spain;Sarah L. Spain;Jo Knight;Eva Ellinghaus;Eva Ellinghaus

  • Analysis of 6,515 exomes reveals the recent origin of most human protein-coding variants

    Wenqing Fu;Timothy D. O’Connor;Goo Jun;Hyun Min Kang

  • Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility.

    Anubha Mahajan;Min Jin Go;Weihua Zhang;Jennifer E. Below

  • A global reference for human genetic variation

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

  • Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program

    Daniel Taliun;Daniel N. Harris;Michael D. Kessler;Jedidiah Carlson;Jedidiah Carlson

  • The genetic architecture of type 2 diabetes

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

  • Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility

    Anubha Mahajan;Min Jin Go;Weihua Zhang;Jennifer E. Below

Frequent Co-Authors

Gonçalo R. Abecasis
Gonçalo R. Abecasis University of Michigan–Ann Arbor
Michael Boehnke
Michael Boehnke University of Michigan–Ann Arbor
David Altshuler
David Altshuler Harvard University
Tonu Esko
Tonu Esko University of Tartu
Christian Fuchsberger
Christian Fuchsberger University of Lübeck
Eric Boerwinkle
Eric Boerwinkle The University of Texas Health Science Center at Houston
Leif Groop
Leif Groop Lund University
Ruth J. F. Loos
Ruth J. F. Loos University of Copenhagen
Kristian Hveem
Kristian Hveem Norwegian University of Science and Technology

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