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2026

D-Index & Metrics

Best Scientists

D-Index
173
Citations
284044
World Ranking
751
National Ranking
462

Genetics

D-Index
174
Citations
298127
World Ranking
57
National Ranking
33

Medicine

D-Index
174
Citations
298914
World Ranking
440
National Ranking
266

David Altshuler 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 Altshuler 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: 360 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

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

David Altshuler 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 Altshuler 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: 174 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
  • 2013 - Fellow of the American Academy of Arts and Sciences
  • 2011 - Curt Stern Award, American Society of Human Genetics
  • 2010 - Member of the National Academy of Medicine (NAM)
  • Member of the Association of American Physicians
  • Member of the Association of American Physicians
  • Member of the Association of American Physicians
  • Member of the Association of American Physicians
  • Member of the Association of American Physicians

Overview

David Altshuler is affiliated with Harvard University in the United States and has a body of work spanning medicine and biochemistry, genetics, and molecular biology. Their research predominantly focuses on genetics, with specific interest in molecular biology, pulmonary and respiratory medicine, neurology, and surgery as subfields.

The main topics covered in their research include:

  • Genetic Associations and Epidemiology
  • Genomics and Rare Diseases
  • Hemoglobinopathies and Related Disorders
  • Nutrition, Genetics, and Disease
  • CRISPR and Genetic Engineering
  • Virus-based gene therapy research
  • Spinal Fractures and Fixation Techniques

Their recent publications include:

  • "CRISPR-Cas9 Gene Editing for Sickle Cell Disease and β-Thalassemia" (2020), New England Journal of Medicine
  • "Inaxaplin for Proteinuric Kidney Disease in Persons with Two APOL1 Variants" (2023), New England Journal of Medicine
  • "The Type 2 Diabetes Knowledge Portal: An open access genetic resource dedicated to type 2 diabetes and related traits" (2023), Cell Metabolism
  • "Analysis of protein-coding genetic variation in 60,706 humans" (2020), UNC Libraries
  • "Specificity of CRISPR-Cas9 Editing in Exagamglogene Autotemcel" (2024), New England Journal of Medicine

Frequent collaborators include:

  • Michael Boehnke
  • Angela Yen
  • Mark I. McCarthy
  • Gonçalo R. Abecasis
  • José C. Florez

David Altshuler's work has appeared repeatedly in several publication venues, such as:

  • UNC Libraries
  • New England Journal of Medicine
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Cell Metabolism
  • Yearbook of Pediatric Endocrinology

Throughout their career, Altshuler has been recognized with several awards, including:

  • Fellow of the American Academy of Arts and Sciences (2013)
  • Curt Stern Award, American Society of Human Genetics (2011)
  • Member of the National Academy of Medicine (NAM) (2010)
  • Member of the Association of American Physicians

Best Publications

  • The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data

    Aaron Henrik McKenna;Matthew Hanna;Eric Banks;Andrey Sivachenko

  • 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

  • A framework for variation discovery and genotyping using next-generation DNA sequencing data

    Mark A DePristo;Eric Banks;Ryan Poplin;Kiran V Garimella

  • Analysis of protein-coding genetic variation in 60,706 humans

    Monkol Lek;Konrad J. Karczewski;Konrad J. Karczewski;Eric V. Minikel;Eric V. Minikel;Kaitlin E. Samocha

  • PGC-1alpha-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes

    Vamsi K Mootha;Cecilia M Lindgren;Cecilia M Lindgren;Karl-Fredrik Eriksson;Aravind Subramanian

  • A Map of Human Genome Variation From Population-Scale Sequencing

    Gonçalo R Abecasis;David Altshuler;David Altshuler;Adam Auton

  • The Structure of Haplotype Blocks in the Human Genome

    Stacey B. Gabriel;Stephen F. Schaffner;Huy Nguyen;Jamie M. Moore

  • From FastQ Data to High‐Confidence Variant Calls: The Genome Analysis Toolkit Best Practices Pipeline

    Geraldine A. Van der Auwera;Mauricio O. Carneiro;Christopher Hartl;Ryan Poplin

  • The International HapMap Project

    John W. Belmont;Paul Hardenbol;Thomas D. Willis;Fuli Yu

  • A haplotype map of the human genome

    John W. Belmont;Andrew Boudreau;Suzanne M. Leal;Paul Hardenbol

  • A second generation human haplotype map of over 3.1 million SNPs

    Kelly A. Frazer;Dennis G. Ballinger;David R. Cox;David A. Hinds

  • Integrating common and rare genetic variation in diverse human populations

    D M Altshuler;R A Gibbs;L Peltonen

  • Age-Related Clonal Hematopoiesis Associated with Adverse Outcomes

    Siddhartha Jaiswal;Pierre Fontanillas;Jason Flannick;Jason Flannick;Alisa Manning

  • A map of human genome sequence variation containing 1.42 million single nucleotide polymorphisms

    Ravi Sachidanandam;David Weissman;Steven C. Schmidt;Jerzy M. Kakol

  • Biological, clinical and population relevance of 95 loci for blood lipids

    Tanya M. Teslovich;Kiran Musunuru;Albert V. Smith;Andrew C. Edmondson

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

    Shane McCarthy;Sayantan Das;Warren Kretzschmar;Olivier Delaneau

  • Genome-Wide Association Analysis Identifies Loci for Type 2 Diabetes and Triglyceride Levels

    Richa Saxena;Benjamin F. Voight;Valeriya Lyssenko;Noël P. Burtt

  • Charaterization of single nucleotide polymorphisms in coding regions of human genes

    David Altshuler;Michele Cargill;George Q. Daley;George Q. Daley;James S. Ireland

  • Plasma HDL cholesterol and risk of myocardial infarction: A mendelian randomisation study

    Benjamin F. Voight;Benjamin F. Voight;Benjamin F. Voight;Gina M. Peloso;Gina M. Peloso;Marju Orho-Melander;Ruth Frikke-Schmidt

Frequent Co-Authors

Mark J. Daly
Mark J. Daly Massachusetts General Hospital
Leif Groop
Leif Groop Lund University
Joel N. Hirschhorn
Joel N. Hirschhorn Boston Children's Hospital
Benjamin F. Voight
Benjamin F. Voight University of Pennsylvania
Sekar Kathiresan
Sekar Kathiresan Harvard University
Jose C. Florez
Jose C. Florez Harvard University
Michael Boehnke
Michael Boehnke University of Michigan–Ann Arbor
Stacey Gabriel
Stacey Gabriel Broad Institute
Gonçalo R. Abecasis
Gonçalo R. Abecasis University of Michigan–Ann Arbor

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