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D-Index & Metrics

Genetics

D-Index
65
Citations
72961
World Ranking
2645
National Ranking
1165

Janan T. Eppig 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 Janan T. Eppig 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: 179 publications — 42nd percentile

42% of scientists in this discipline score the same or lower.

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

Janan T. Eppig 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 Janan T. Eppig 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: 65 D-Index — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Overview

Janan T. Eppig is affiliated with the Mount Desert Island Biological Laboratory in the United States. Their research contributions include involvement in notable projects related to genetic research and mouse models.

Their recent publication record includes the paper titled The Knockout Mouse Project, published in 2020 through UNC Libraries. This work explores aspects of genetic knockout methodologies within mouse models, reflecting a focus on experimental genetics and biomedical research.

Eppig has collaborated with a number of researchers in the field, including:

  • Christopher P. Austin
  • James F. Battey
  • Allan Bradley
  • Maja Bućan
  • Mario R. Capecchi

Their publications have appeared in venues such as:

  • UNC Libraries

Best Publications

  • Gene Ontology: tool for the unification of biology

    M Ashburner;C A Ball;J A Blake;D Botstein

  • The Gene Ontology (GO) database and informatics resource.

    Harris Ma;Clark J;Ireland A;Lomax J

  • Genealogies of mouse inbred strains.

    Jon A. Beck;Sarah Lloyd;Majid Hafezparast;Moyha Lennon-Pierce

  • Creating the gene ontology resource: design and implementation.

    J A Blake;J Corradi;J T Eppig;D P Hill

  • The Human Phenotype Ontology project: linking molecular biology and disease through phenotype data

    Sebastian Köhler;Sandra C. Doelken;Christopher J. Mungall;Sebastian Bauer

  • The knockout mouse project

    Christopher P. Austin;James F. Battey;Allan Bradley;Maja Bucan

  • A genetic linkage map of the mouse: current applications and future prospects

    Neal G. Copeland;Nancy A. Jenkins;Debra J. Gilbert;Janan T. Eppig

  • The Gene Ontology project in 2008

    Midori A Harris;Jennifer I. Deegan;Amelia Ireland;Jane Lomax

  • Maps from two interspecific backcross DNA panels available as a community genetic mapping resource

    L. B. Rowe;J. H. Nadeau;R. Turner;W. N. Frankel

  • The Mouse Genome Database (MGD): mouse biology and model systems

    Carol J. Bult;Janan T. Eppig;James A. Kadin;Joel E. Richardson

  • The Mammalian Phenotype Ontology as a tool for annotating, analyzing and comparing phenotypic information.

    Cynthia L Smith;Carroll-Ann W Goldsmith;Janan T Eppig

  • Gene Ontology Consortium. The Gene Ontology (GO) database and informatics resource

    Harris Ma;J. Clark;A. Ireland;J. Lomax

  • The Mouse Genome Database (MGD): facilitating mouse as a model for human biology and disease

    Janan T. Eppig;Judith A. Blake;Carol J. Bult;James A. Kadin

  • Global genetic analysis in mice unveils central role for cilia in congenital heart disease.

    You Li;Nikolai T Klena;George C Gabriel;Xiaoqin Liu

  • The Mouse Genome Database (MGD): premier model organism resource for mammalian genomics and genetics.

    Judith A. Blake;Carol J. Bult;James A. Kadin;Joel E. Richardson

  • The mammalian phenotype ontology: enabling robust annotation and comparative analysis

    Cynthia L. Smith;Janan T. Eppig

  • MGD: the Mouse Genome Database.

    Judith A. Blake;Joel E. Richardson;Carol J. Bult;Jim A. Kadin

  • The mammalian gene function resource: the international knockout mouse consortium

    Allan Bradley;Konstantinos Anastassiadis;Abdelkader Ayadi;James F. Battey

  • The Mouse Genome Database (MGD): from genes to mice—a community resource for mouse biology

    Janan T. Eppig;Carol J. Bult;James A. Kadin;Joel E. Richardson

  • Mouse Genome Database (MGD)-2017: community knowledge resource for the laboratory mouse

    Judith A. Blake;Janan T. Eppig;James A. Kadin;Joel E. Richardson

Frequent Co-Authors

Joel E. Richardson
Joel E. Richardson The Jackson Laboratory
Carol J. Bult
Carol J. Bult European Bioinformatics Institute
Judith A. Blake
Judith A. Blake Edith Cowan University
John P. Sundberg
John P. Sundberg Vanderbilt University
Paul N. Schofield
Paul N. Schofield University of Cambridge
Pascale Gaudet
Pascale Gaudet Swiss Institute of Bioinformatics
Damian Smedley
Damian Smedley Queen Mary University of London
Suzanna E. Lewis
Suzanna E. Lewis Lawrence Berkeley National Laboratory
John M. Hancock
John M. Hancock Norwich University
Nadia Rosenthal
Nadia Rosenthal National Institutes of Health

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