World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
125
Citations
84814
World Ranking
310
National Ranking
163

Medicine

D-Index
122
Citations
82853
World Ranking
3403
National Ranking
1874

Edward M. Rubin 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 Edward M. Rubin 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: 306 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Edward M. Rubin 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 Edward M. Rubin 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: 125 D-Index — 93rd percentile

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

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

Overview

Edward M. Rubin is affiliated with the Joint Genome Institute in the United States. Their research primarily focuses on medicine, with an emphasis on infectious diseases, public health, environmental and occupational health, and animal science and zoology. Rubin's work intersects key areas such as zoonotic diseases, viral gastroenteritis, and epidemiological studies related to COVID-19.

Rubin has contributed extensively to research on SARS-CoV-2 and COVID-19, public health implications of zoonotic infections, and the study of animal virus infections. The scientist's publications span a range of topics including coronavirus surveillance, viral RNA detection in wildlife, and co-evolutionary dynamics of viruses with their hosts.

Recent selected papers include:

  • Coronavirus surveillance in wildlife from two Congo basin countries detects RNA of multiple species circulating in bats and rodents (2021, PLoS ONE)
  • Targeted genomic sequencing with probe capture for discovery and surveillance of coronaviruses in bats (2022, eLife)
  • Coronavirus surveillance of wildlife in the Lao People's Democratic Republic detects viral RNA in rodents (2020, Archives of Virology)
  • Wildlife in Cameroon harbor diverse coronaviruses, including many closely related to human coronavirus 229E (2022, Virus Evolution)
  • Evaluation of bat adenoviruses suggests co-evolution and host roosting behaviour as drivers for diversity (2021, Microbial Genomics)

Rubin collaborates regularly with several researchers, including:

  • Amethyst Gillis
  • Matthew LeBreton
  • David J. McIver
  • Christian E. Lange
  • Damien O. Joly

Frequent publication venues for Rubin's work include:

  • SSRN Electronic Journal
  • bioRxiv (Cold Spring Harbor Laboratory)
  • PLoS ONE
  • eLife
  • Archives of Virology

In addition to journal articles, Rubin has contributed to book publications, including a 2022 title published by the World Bank titled Customer Discrimination in the Workplace: Evidence from Online Sales. This work reflects an engagement with topics related to names, identity, and discrimination research.

The main fields of study for Rubin's body of work are Medicine, with subfields concentrated on Infectious Diseases, Public Health, Environmental and Occupational Health, Animal Science and Zoology, Sociology and Political Science, and Modeling and Simulation.

Their research topics cover the following areas:

  • SARS-CoV-2 and COVID-19 Research
  • Zoonotic diseases and public health
  • Animal Virus Infections Studies
  • Viral gastroenteritis research and epidemiology
  • COVID-19 epidemiological studies
  • Virology and Viral Diseases
  • Names, Identity, and Discrimination Research

Best Publications

  • Initial sequencing and comparative analysis of the mouse genome.

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

  • Severe hypercholesterolemia and atherosclerosis in apolipoprotein E-deficient mice created by homologous recombination in ES cells

    Andrew S. Plump;Jonathan D. Smith;Tony Hayek;Katriina Aalto-Setälä

  • Community structure and metabolism through reconstruction of microbial genomes from the environment

    Gene W. Tyson;Jarrod Chapman;Jarrod Chapman;Philip Hugenholtz;Eric E. Allen

  • Insights into the phylogeny and coding potential of microbial dark matter

    Christian Rinke;Patrick Schwientek;Alexander Sczyrba;Alexander Sczyrba;Natalia N. Ivanova

  • Genome sequence of the Brown Norway rat yields insights into mammalian evolution

    Richard A. Gibbs;George M. Weinstock;Michael L. Metzker;Donna M. Muzny

  • VISTA: computational tools for comparative genomics

    Kelly A. Frazer;Lior Pachter;Alexander Poliakov;Edward M. Rubin

  • Comparative Metagenomics of Microbial Communities

    Susannah Green Tringe;Christian von Mering;Arthur Kobayashi;Asaf A. Salamov

  • ChIP-seq accurately predicts tissue-specific activity of enhancers

    Axel Visel;Matthew J. Blow;Matthew J. Blow;Zirong Li;Tao Zhang

  • Genomics of cellulosic biofuels

    Edward M. Rubin;Edward M. Rubin

  • Metagenomic discovery of biomass-degrading genes and genomes from cow rumen.

    Matthias Hess;Matthias Hess;Alexander Sczyrba;Alexander Sczyrba;Rob Egan;Rob Egan;Tae Wan Kim

  • Metagenomic and functional analysis of hindgut microbiota of a wood-feeding higher termite.

    Falk Warnecke;Peter Luginbühl;Natalia Ivanova;Majid Ghassemian

  • Genome sequencing and analysis of the biomass-degrading fungus Trichoderma reesei (syn. Hypocrea jecorina).

    Diego Martinez;Diego Martinez;Randy M Berka;Bernard Henrissat;Markku Saloheimo

  • In vivo enhancer analysis of human conserved non-coding sequences

    Len A. Pennacchio;Len A. Pennacchio;Nadav Ahituv;Alan M. Moses;Shyam Prabhakar

  • An Apolipoprotein Influencing Triglycerides in Humans and Mice Revealed by Comparative Sequencing

    Len A. Pennacchio;Michael Olivier;Jaroslav A. Hubacek;Jonathan C. Cohen

  • VISTA : visualizing global DNA sequence alignments of arbitrary length.

    Chris Mayor;Michael Brudno;Jody R. Schwartz;Alexander Poliakov

  • Inhibition of early atherogenesis in transgenic mice by human apolipoprotein AI.

    Edward M. Rubin;Ronald M. Krauss;Elizabeth A. Spangler;Judy G. Verstuyft

  • Uncovering Earth’s virome

    David Paez-Espino;Emiley A. Eloe-Fadrosh;Georgios A. Pavlopoulos;Alex D. Thomas

  • A phylogeny-driven genomic encyclopaedia of Bacteria and Archaea.

    Dongying Wu;Dongying Wu;Philip Hugenholtz;Konstantinos Mavromatis;Rüdiger Pukall

  • Identification of a Coordinate Regulator of Interleukins 4, 13, and 5 by Cross-Species Sequence Comparisons

    Gabriela G. Loots;Gabriela G. Loots;Richard M. Locksley;Catherine M. Blankespoor;Zhi-En Wang

  • A YAC mouse model for Huntington's disease with full-length mutant huntingtin, cytoplasmic toxicity, and selective striatal neurodegeneration.

    J.Graeme Hodgson;Nadia Agopyan;Claire-Anne Gutekunst;Blair R Leavitt

Frequent Co-Authors

Len A. Pennacchio
Len A. Pennacchio Lawrence Berkeley National Laboratory
Axel Visel
Axel Visel Lawrence Berkeley National Laboratory
Jan Fang Cheng
Jan Fang Cheng Lawrence Berkeley National Laboratory
Nathan D. Wolfe
Nathan D. Wolfe Global Viral
Inna Dubchak
Inna Dubchak Lawrence Berkeley National Laboratory
Nikos C. Kyrpides
Nikos C. Kyrpides Joint Genome Institute
Susannah G. Tringe
Susannah G. Tringe Joint Genome Institute
Trudy M. Forte
Trudy M. Forte UCSF Benioff Children's Hospital
Lior Pachter
Lior Pachter California Institute of Technology
Natalia Ivanova
Natalia Ivanova Lawrence Berkeley National Laboratory

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