World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
50
Citations
74213
World Ranking
3882
National Ranking
1674

Kara Dolinski 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 Kara Dolinski 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: 77 publications — 2nd percentile

2% of scientists in this discipline score the same or lower.

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

Kara Dolinski 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 Kara Dolinski 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: 50 D-Index — 11th percentile

11% of scientists in this discipline score the same or lower.

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

Overview

Kara Dolinski is affiliated with Princeton University in the United States. Their research centers on the fields of Biochemistry, Genetics, and Molecular Biology, with a particular focus on Molecular Biology. Additional areas of specialization include Genetics, Cognitive Neuroscience, Physiology, and Plant Science.

Their scholarly work covers a broad range of topics, such as:

  • Bioinformatics and Genomic Networks
  • Fungal and yeast genetics research
  • Genomics and Rare Diseases
  • Ubiquitin and proteasome pathways
  • Functional Brain Connectivity Studies
  • Alzheimer's disease research and treatments
  • Genomics and Chromatin Dynamics

Kara Dolinski's frequent publication venues include:

  • Protein Science
  • Neuron
  • Science Advances
  • Cell Reports Methods
  • Database

Notable recent papers authored or coauthored by Kara Dolinski are:

  • The BioGRID database: A comprehensive biomedical resource of curated protein, genetic, and chemical interactions, 2020, Protein Science
  • Selective Neuronal Vulnerability in Alzheimer's Disease: A Network-Based Analysis, 2020, Neuron
  • Global analysis of the yeast knockout phenome, 2023, Science Advances
  • Atlas of primary cell-type-specific sequence models of gene expression and variant effects, 2023, Cell Reports Methods
  • Overview of the COVID-19 text mining tool interactive demonstration track in BioCreative VII, 2022, Database

Their research collaborations have involved frequent coauthors such as:

  • Rose Oughtred
  • Jennifer Rust
  • Christie Chang
  • Andrew Chatr-aryamontri
  • Mike Tyers

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

  • The BioGRID interaction database: 2015 update

    Andrew Chatr-aryamontri;Bobby-Joe Breitkreutz;Rose Oughtred;Lorrie Boucher

  • The BioGRID interaction database: 2017 update

    Andrew Chatr-aryamontri;Rose Oughtred;Lorrie Boucher;Jennifer M. Rust

  • The BioGRID database: A comprehensive biomedical resource of curated protein, genetic, and chemical interactions.

    Rose Oughtred;Jennifer Rust;Christie Chang;Bobby-Joe Breitkreutz

  • The BioGRID interaction database: 2019 update

    Rose Oughtred;Chris Stark;Bobby-Joe Breitkreutz;Jennifer M. Rust

  • The BioGRID Interaction Database: 2011 update

    Chris Stark;Bobby-Joe Breitkreutz;Andrew Chatr-aryamontri;Lorrie Boucher

  • Understanding multicellular function and disease with human tissue-specific networks

    Casey S Greene;Arjun Krishnan;Aaron K Wong;Emanuela Ricciotti

  • The BioGRID interaction database: 2013 update

    Andrew Chatr-aryamontri;Bobby-Joe Breitkreutz;Sven Heinicke;Lorrie Boucher

  • The BioGRID Interaction Database: 2008 update

    Bobby-Joe Breitkreutz;Chris Stark;Teresa Reguly;Lorrie Boucher

  • A Bayesian framework for combining heterogeneous data sources for gene function prediction (in Saccharomyces cerevisiae)

    Olga G. Troyanskaya;Kara Dolinski;Art B. Owen;Russ B. Altman

  • The Gene Ontology project in 2008

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

  • Use and misuse of the gene ontology annotations.

    Seung Yon Rhee;Valerie Wood;Kara Dolinski;Sorin Draghici

  • Saccharomyces Genome Database.

    Laurie Issel-Tarver;Karen R. Christie;Kara Dolinski;Rey Andrada

  • Comparison of the Complete Protein Sets of Worm and Yeast: Orthology and Divergence

    Stephen A. Chervitz;L. Aravind;Gavin Sherlock;Catherine A. Ball

  • Saccharomyces Genome Database (SGD) provides secondary gene annotation using the Gene Ontology (GO)

    Selina S. Dwight;Midori A. Harris;Kara Dolinski;Catherine A. Ball

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

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

  • Comprehensive curation and analysis of global interaction networks in Saccharomyces cerevisiae

    Teresa Reguly;Ashton Breitkreutz;Lorrie Boucher;Bobby Joe Breitkreutz

  • All cyclophilins and FK506 binding proteins are, individually and collectively, dispensable for viability in Saccharomyces cerevisiae

    Kara Dolinski;Scott Muir;Maria Cardenas;Joseph Heitman

  • Saccharomyces Genome Database (SGD) provides tools to identify and analyze sequences from Saccharomyces cerevisiae and related sequences from other organisms.

    Karen R. Christie;Shuai Weng;Rama Balakrishnan;Maria C. Costanzo

Frequent Co-Authors

David Botstein
David Botstein Princeton University
Mike Tyers
Mike Tyers University of Montreal
J. Michael Cherry
J. Michael Cherry Stanford University
Andrew Chatr-aryamontri
Andrew Chatr-aryamontri University of Montreal
Olga G. Troyanskaya
Olga G. Troyanskaya Princeton University
Joseph Heitman
Joseph Heitman Duke University
Suzanna E. Lewis
Suzanna E. Lewis Lawrence Berkeley National Laboratory
Christopher J. Mungall
Christopher J. Mungall Lawrence Berkeley National Laboratory
Paul W. Sternberg
Paul W. Sternberg California Institute of Technology
Gavin Sherlock
Gavin Sherlock Stanford University

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