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Best Scientists

D-Index
207
Citations
358920
World Ranking
217
National Ranking
142

Genetics

D-Index
196
Citations
352175
World Ranking
25
National Ranking
17

David Haussler 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 David Haussler 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: 487 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

David Haussler 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 David Haussler 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: 196 D-Index — 99th percentile

99% 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

  • 2026 - Research.com Genetics in United States Leader Award
  • 2025 - Research.com Best Scientists Award
  • 2025 - Research.com Genetics in United States Leader Award
  • 2024 - Research.com Genetics in United States Leader Award
  • 2024 - Research.com Genetics and Molecular Biology in United States Leader Award
  • 2023 - Research.com Genetics in United States Leader Award
  • 2018 - Member of the National Academy of Engineering For developments in computational learning theory and bioinformatics, including first assembly of the human genome, its analysis, and data sharing.
  • 2009 - Fellow of the International Society for Computational Biology
  • 2009 - Curt Stern Award, American Society of Human Genetics
  • 2006 - Member of the National Academy of Sciences
  • 2006 - Fellow of the American Academy of Arts and Sciences
  • 2003 - ACM AAAI Allen Newell Award "For contributions bridging computer science and biology through research in computational learning theory, computational biology, and bioinformatics leading to major influences on the understanding of biological macromolecules and the investigation of the human genome."
  • 2002 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 1993 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For scientific contributions to the theory and practice of machine learning.

Overview

David Haussler is affiliated with the University of California, Santa Cruz in the United States. Their research primarily spans the fields of Biochemistry, Genetics, and Molecular Biology, with a focus on Molecular Biology, Biomedical Engineering, Genetics, Cognitive Neuroscience, and Cancer Research.

The scientific work covers a range of topics including:

  • Genomics and Phylogenetic Studies
  • Neuroscience and Neural Engineering
  • Neural dynamics and brain function
  • Cancer Genomics and Diagnostics
  • Chromosomal and Genetic Variations
  • Genomics and Rare Diseases
  • CRISPR and Genetic Engineering

David Haussler has contributed to publications in several venues, frequently publishing in:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature
  • Cancer Research
  • UNC Libraries
  • Nucleic Acids Research

Key recent papers authored include:

  • "Visualizing and interpreting cancer genomics data via the Xena platform," 2020, Nature Biotechnology
  • "The UCSC Genome Browser database: 2023 update," 2022, Nucleic Acids Research
  • "Nanopore sequencing and the Shasta toolkit enable efficient de novo assembly of eleven human genomes," 2020, Nature Biotechnology
  • "The UCSC Genome Browser database: 2021 update," 2020, Nucleic Acids Research
  • "Progressive Cactus is a multiple-genome aligner for the thousand-genome era," 2020, Nature

Frequent collaborators in their research include:

  • Mircea Teodorescu
  • Sofie R. Salama
  • Mohammed A. Mostajo-Radji
  • Angie S. Hinrichs
  • Kateryna Voitiuk

Throughout their career, David Haussler has received multiple recognitions including election to the National Academy of Engineering in 2018 for developments in computational learning theory and bioinformatics. Other honors include the Curt Stern Award from the American Society of Human Genetics, fellowships in the International Society for Computational Biology, the American Academy of Arts and Sciences, the American Association for the Advancement of Science, and the Association for the Advancement of Artificial Intelligence. They are also a member of the National Academy of Sciences and received the ACM AAAI Allen Newell Award for contributions bridging computer science and biology through research in computational learning theory and bioinformatics.

Best Publications

  • Initial sequencing and analysis of the human genome.

    Eric S. Lander;Lauren M. Linton;Bruce Birren;Chad Nusbaum

  • A global reference for human genetic variation.

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

  • The Human Genome Browser at UCSC

    W. James Kent;Charles W. Sugnet;Terrence S. Furey;Krishna M. Roskin

  • Comprehensive molecular portraits of human breast tumours

    Daniel C. Koboldt;Robert S. Fulton;Michael D. McLellan;Heather Schmidt

  • Table S2: Trans-factors and trinucleotide repeat instability Trans-factor

    Arturo López Castel;John D Cleary;Christopher E Pearson

  • 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

  • Initial sequencing and comparative analysis of the mouse genome.

    Robert H. Waterston;Kerstin Lindblad-Toh;Ewan Birney;Jane Rogers

  • Comprehensive molecular characterization of human colon and rectal cancer

    Donna M. Muzny;Matthew N. Bainbridge;Kyle Chang;Huyen H. Dinh

  • Integrated genomic analyses of ovarian carcinoma

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

  • Integrative analysis of 111 reference human epigenomes

    Anshul Kundaje;Wouter Meuleman;Wouter Meuleman;Jason Ernst

  • Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project

    Ewan Birney;John A. Stamatoyannopoulos;Anindya Dutta;Roderic Guigó

  • Comprehensive molecular characterization of gastric adenocarcinoma

    Adam J. Bass;Vesteinn Thorsson;Ilya Shmulevich;Sheila M. Reynolds

  • The Somatic Genomic Landscape of Glioblastoma

    Cameron W. Brennan;Roel G W Verhaak;Aaron McKenna;Benito Campos

  • Integrated genomic characterization of endometrial carcinoma

    Gad Getz;Stacey B. Gabriel;Kristian Cibulskis;Eric Lander

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

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

  • Comprehensive molecular profiling of lung adenocarcinoma: The cancer genome atlas research network

    Eric A. Collisson;Joshua D. Campbell;Angela N. Brooks;Angela N. Brooks;Alice H. Berger

  • GENCODE: The reference human genome annotation for The ENCODE Project

    Jennifer Harrow;Adam Frankish;Jose M. Gonzalez;Electra Tapanari

  • The Cancer Genome Atlas Pan-Cancer analysis project

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

  • The somatic genomic landscape of glioblastoma

    Cameron W. Brennan;Roel G. W. Verhaak;Aaron Mckenna;Benito Campos

  • Integrated genomic analyses of ovarian carcinoma

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

Frequent Co-Authors

W. James Kent
W. James Kent University of California, Santa Cruz
Benedict Paten
Benedict Paten University of California, Santa Cruz
Mark Diekhans
Mark Diekhans University of California, Santa Cruz
Joshua M. Stuart
Joshua M. Stuart University of California, Santa Cruz
Eric S. Lander
Eric S. Lander Broad Institute
Angie S. Hinrichs
Angie S. Hinrichs University of California, Santa Cruz
Marco A. Marra
Marco A. Marra University of British Columbia
Brian J. Raney
Brian J. Raney University of California, Santa Cruz
Donna Karolchik
Donna Karolchik University of California, Santa Cruz
Robert M. Kuhn
Robert M. Kuhn University of California, Santa Cruz

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