World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
56
Citations
30207
World Ranking
3450
National Ranking
1493

Gill Bejerano 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 Gill Bejerano 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: 153 publications — 31st percentile

31% of scientists in this discipline score the same or lower.

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

Gill Bejerano 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 Gill Bejerano 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: 56 D-Index — 21st percentile

21% 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

  • 2008 - Fellow of Alfred P. Sloan Foundation

Overview

Gill Bejerano is affiliated with Stanford University in the United States. Their research primarily focuses on Biochemistry, Genetics, and Molecular Biology, with a total of 104 publications in these fields. The main subfields of their work include Genetics, Molecular Biology, Cancer Research, Immunology, and Artificial Intelligence.

The scientist's research topics cover a range of areas related to genomics and disease, including:

  • Genomics and Rare Diseases
  • Genetics and Neurodevelopmental Disorders
  • Cancer Genomics and Diagnostics
  • Biomedical Text Mining and Ontologies
  • Genomics and Phylogenetic Studies
  • Genomics and Chromatin Dynamics
  • Genomic variations and chromosomal abnormalities

Gill Bejerano has contributed to multiple peer-reviewed papers, some of which have received significant citations. Selected recent publications include:

  • "WhichTF is functionally important in your open chromatin data?" (2022), published in PLoS Computational Biology
  • "AMELIE speeds Mendelian diagnosis by matching patient phenotype and genotype to primary literature" (2020), published in Science Translational Medicine
  • "Beyond the exome: What's next in diagnostic testing for Mendelian conditions" (2023), published in The American Journal of Human Genetics
  • "De novo EIF2AK1 and EIF2AK2 Variants Are Associated with Developmental Delay, Leukoencephalopathy, and Neurologic Decompensation" (2020), published in The American Journal of Human Genetics
  • "Biallelic MADD variants cause a phenotypic spectrum ranging from developmental delay to a multisystem disorder" (2020), published in Brain

Their frequent coauthors include:

  • Jonathan A. Bernstein
  • Devon Bonner
  • Elizabeth Blue
  • Dustin Baldridge
  • Anna Bican

Gill Bejerano's work has been published predominantly in the following scientific venues:

  • Genetics in Medicine
  • bioRxiv (Cold Spring Harbor Laboratory)
  • The American Journal of Human Genetics
  • Brain
  • BMC Genomics

Among their recognitions, Gill Bejerano was named a Fellow of the Alfred P. Sloan Foundation in 2008.

Best Publications

  • Evolutionarily conserved elements in vertebrate, insect, worm, and yeast genomes

    Adam Siepel;Gill Bejerano;Jakob Skou Pedersen;Angie S Hinrichs

  • GREAT improves functional interpretation of cis-regulatory regions

    Cory Y McLean;Dave Bristor;Michael Hiller;Shoa L Clarke

  • Sequence and comparative analysis of the chicken genome provide unique perspectives on vertebrate evolution

    Ladeana W. Hillier;Webb Miller;Ewan Birney;Wesley Warren

  • Ultraconserved Elements in the Human Genome

    Gill Bejerano;Michael Pheasant;Igor Makunin;Stuart Stephen

  • The UCSC Genome Browser Database: update 2006

    A. S. Hinrichs;D. Karolchik;R. Baertsch;G. P. Barber

  • Novel small RNA-encoding genes in the intergenic regions of Escherichia coli

    Liron Argaman;Ruth Hershberg;Jörg Vogel;Gill Bejerano

  • M-CAP eliminates a majority of variants of uncertain significance in clinical exomes at high sensitivity

    Karthik A. Jagadeesh;Aaron M. Wenger;Mark J. Berger;Harendra Guturu

  • Identification and classification of conserved RNA secondary structures in the human genome

    Jakob Skou Pedersen;Gill Bejerano;Adam C. Siepel;Kate R. Rosenbloom

  • Enhancers: five essential questions

    Len A. Pennacchio;Wendy Bickmore;Ann Dean;Marcelo A. Nobrega

  • Forces Shaping the Fastest Evolving Regions in the Human Genome

    Katherine S Pollard;Sofie R Salama;Bryan King;Andrew D Kern

  • A distal enhancer and an ultraconserved exon are derived from a novel retroposon

    Gill Bejerano;Craig B. Lowe;Nadav Ahituv;Nadav Ahituv;Bryan King

  • Human-specific loss of regulatory DNA and the evolution of human-specific traits.

    Cory Y. McLean;Philip L. Reno;Philip L. Reno;Alex A. Pollen;Abraham I. Bassan

  • A comparative genomics multitool for scientific discovery and conservation

    Diane P. Genereux;Aitor Serres;Joel Armstrong;Jeremy Johnson

  • The UCSC genome browser database: update 2007

    R. M. Kuhn;D. Karolchik;A. S. Zweig;H. Trumbower

  • Systematic reanalysis of clinical exome data yields additional diagnoses: implications for providers.

    Aaron M. Wenger;Harendra Guturu;Jonathan A. Bernstein;Gill Bejerano

  • Human genome ultraconserved elements are ultraselected.

    Sol Katzman;Andrew D. Kern;Gill Bejerano;Ginger Fewell

  • Thousands of human mobile element fragments undergo strong purifying selection near developmental genes

    Craig B. Lowe;Gill Bejerano;David Haussler

  • Identification of rare-disease genes using blood transcriptome sequencing and large control cohorts

    Laure Frésard;Craig Smail;Nicole M. Ferraro;Nicole A. Teran

  • Coding exons function as tissue-specific enhancers of nearby genes

    Ramon Y. Birnbaum;E. Josephine Clowney;Orly Agamy;Mee J. Kim

  • Variations on probabilistic suffix trees: statistical modeling and prediction of protein families.

    Gill Bejerano;Golan Yona

Frequent Co-Authors

Jonathan A. Bernstein
Jonathan A. Bernstein University of Cincinnati Medical Center
David Haussler
David Haussler University of California, Santa Cruz
Adam Siepel
Adam Siepel Cold Spring Harbor Laboratory
Peter D. Stenson
Peter D. Stenson Cardiff University
Alan H. Beggs
Alan H. Beggs Harvard Medical School
Jill A. Rosenfeld
Jill A. Rosenfeld Baylor College of Medicine
Vandana Shashi
Vandana Shashi Duke University
Euan A. Ashley
Euan A. Ashley Stanford University
W. James Kent
W. James Kent University of California, Santa Cruz
Jakob Skou Pedersen
Jakob Skou Pedersen Aarhus University

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