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D-Index & Metrics

Genetics

D-Index
55
Citations
15243
World Ranking
3555
National Ranking
1542

Kyle J. Gaulton 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 Kyle J. Gaulton 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: 124 publications — 18th percentile

18% of scientists in this discipline score the same or lower.

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

Kyle J. Gaulton 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 Kyle J. Gaulton 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: 55 D-Index — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Overview

Kyle J. Gaulton is affiliated with the University of California, San Diego in the United States and has an extensive publication record focused on biochemistry, genetics, molecular biology, and medicine. Their research predominantly covers molecular biology, genetics, and related subfields such as surgery, endocrinology, diabetes and metabolism, and cancer research.

Their work addresses key topics including pancreatic function and diabetes, diabetes and associated disorders, single-cell and spatial transcriptomics, diabetes management and research, genetic associations and epidemiology, epigenetics and DNA methylation, and RNA research and splicing.

Frequent co-authors in their research include:

  • Joshua Chiou
  • Sebastian Preißl
  • Maike Sander
  • Bing Ren
  • Mei-Lin Okino

Gaulton has published in a variety of venues, with the most common being:

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

Selected recent papers by Gaulton include:

  • A single-cell atlas of chromatin accessibility in the human genome, 2021, Cell
  • Interpreting type 1 diabetes risk with genetics and single-cell epigenomics, 2021, Nature
  • An atlas of dynamic chromatin landscapes in mouse fetal development, 2020, Nature
  • Characterizing cis-regulatory elements using single-cell epigenomics, 2022, Nature Reviews Genetics
  • Single-cell multiomic profiling of human lungs reveals cell-type-specific and age-dynamic control of SARS-CoV2 host genes, 2020, eLife

Their research contributions frequently involve multiomic profiling and single-cell epigenomics to understand cellular mechanisms in health and disease, particularly related to diabetes and genetic regulation.

Best Publications

  • The genetic architecture of type 2 diabetes

    Christian Fuchsberger;Christian Fuchsberger;Jason A. Flannick;Jason A. 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

  • An Expanded Genome-Wide Association Study of Type 2 Diabetes in Europeans

    Robert A. Scott;Laura J. Scott;Reedik Mägi;Letizia Marullo

  • A map of open chromatin in human pancreatic islets

    Kyle J. Gaulton;Takao Nammo;Lorenzo Pasquali;Jeremy M. Simon

  • Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors

    Nicole M Warrington;Robin N Beaumont;Momoko Horikoshi;Felix R Day

  • Genome-wide associations for birth weight and correlations with adult disease

    Momoko Horikoshi;Robin N. Beaumont;Felix R. Day;Nicole M. Warrington;Nicole M. Warrington

  • Pancreatic islet enhancer clusters enriched in type 2 diabetes risk-associated variants

    Lorenzo Pasquali;Kyle J Gaulton;Kyle J Gaulton;Kyle J Gaulton;Santiago A Rodríguez-Seguí;Loris Mularoni

  • Integrative genomic analysis implicates limited peripheral adipose storage capacity in the pathogenesis of human insulin resistance

    Luca A Lotta;Pawan Gulati;Felix R Day;Felicity Payne

  • Type 2 diabetes genetic loci informed by multi-trait associations point to disease mechanisms and subtypes: A soft clustering analysis.

    Miriam S Udler;Jaegil Kim;Marcin von Grotthuss;Sílvia Bonàs-Guarch

  • Genetic fine mapping and genomic annotation defines causal mechanisms at type 2 diabetes susceptibility loci

    Kyle J Gaulton;Kyle J Gaulton;Teresa Ferreira;Yeji Lee;Anne Raimondo

  • Detection of human adaptation during the past 2000 years

    Yair Field;Yair Field;Evan A Boyle;Natalie Telis;Ziyue Gao;Ziyue Gao

  • A single-cell atlas of chromatin accessibility in the human genome

    Kai Zhang;Kai Zhang;James D. Hocker;James D. Hocker;Michael Miller;Xiaomeng Hou

  • An atlas of dynamic chromatin landscapes in mouse fetal development

    David U. Gorkin;David U. Gorkin;Iros Barozzi;Iros Barozzi;Yuan Zhao;Yuan Zhao;Yanxiao Zhang

  • Interpreting type 1 diabetes risk with genetics and single-cell epigenomics

    Joshua Chiou;Joshua Chiou;Ryan J. Geusz;Mei-Lin Okino;Jee Yun Han

  • Whole-Exome Sequencing Identifies Rare and Low-Frequency Coding Variants Associated with LDL Cholesterol

    Leslie A Lange;Youna Hu;He Zhang;Chenyi Xue

  • The miRNA Profile of Human Pancreatic Islets and Beta-Cells and Relationship to Type 2 Diabetes Pathogenesis

    Martijn van de Bunt;Martijn van de Bunt;Kyle J. Gaulton;Leopold Parts;Ignasi Moran

  • Choice of transcripts and software has a large effect on variant annotation

    Davis J. McCarthy;Davis J. McCarthy;Peter Humburg;Alexander Kanapin;Manuel A. Rivas

  • Trans-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation

    Mahajan A;Spracklen Cn;Zhang W;Ng Mc

  • 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

Andrew P. Morris
Andrew P. Morris University of Liverpool
Cecilia M. Lindgren
Cecilia M. Lindgren University of Oxford
Inga Prokopenko
Inga Prokopenko University of Surrey
Anna L. Gloyn
Anna L. Gloyn Stanford University
David Altshuler
David Altshuler Harvard University
Erik Ingelsson
Erik Ingelsson Stanford University
Jose C. Florez
Jose C. Florez Harvard University
Torben Hansen
Torben Hansen University of Copenhagen

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