World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
41
Citations
34439
World Ranking
6776
National Ranking
100

Pascale Gaudet publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Pascale Gaudet sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 89 publications — 5th percentile

5% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Pascale Gaudet D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Pascale Gaudet sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 41 D-Index — 31st percentile

31% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Pascale Gaudet is affiliated with the Swiss Institute of Bioinformatics in Switzerland. Their research focuses primarily on the field of Biochemistry, Genetics and Molecular Biology, with significant contributions in Molecular Biology. They also engage in research related to Artificial Intelligence, Spectroscopy, Computational Theory and Mathematics, and Genetics.

The scientist's work spans several key topics including Bioinformatics and Genomic Networks, Biomedical Text Mining and Ontologies, Gene expression and cancer classification, Genomics and Phylogenetic Studies, Gene Regulatory Network Analysis, Genetics, Bioinformatics, and Biomedical Research, as well as Semantic Web and Ontologies.

Recent publications by Pascale Gaudet include the following papers:

  • UniProt: the Universal Protein Knowledgebase in 2023 (2022, Nucleic Acids Research)
  • The Gene Ontology knowledgebase in 2023 (2023, Genetics)
  • UniProt: the Universal Protein Knowledgebase in 2025 (2024, Nucleic Acids Research)
  • Annotation of biologically relevant ligands in UniProtKB using ChEBI (2022, Bioinformatics)
  • DisProt in 2022: improved quality and accessibility of protein intrinsic disorder annotation (2021, Nucleic Acids Research)

Frequent co-authors of Pascale Gaudet include:

  • Ruth C. Lovering
  • Marc Feuermann
  • Chris Mungall
  • María Martin
  • Sandra Orchard

Pascale Gaudet often publishes in the following venues:

  • Nucleic Acids Research
  • Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms
  • Bioinformatics
  • Journal of Biomedical Semantics
  • bioRxiv (Cold Spring Harbor Laboratory)

Best Publications

  • The Gene Ontology Resource: 20 years and still GOing strong

    S. Carbon;E. Douglass;N. Dunn;B. Good

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

    Harris Ma;Clark J;Ireland A;Lomax J

  • The Gene Ontology resource: enriching a GOld mine

    Seth Carbon;Eric Douglass;Benjamin M Good

  • The Gene Ontology knowledgebase in 2023

    Unknown

  • SynGO : An Evidence-Based, Expert-Curated Knowledge Base for the Synapse

    Frank Koopmans;Pim van Nierop;Maria Andres-Alonso;Andrea Byrnes

  • Phylogenetic-based propagation of functional annotations within the Gene Ontology consortium

    Pascale Gaudet;Michael S. Livstone;Suzanna E. Lewis;Paul D. Thomas

  • Gene ontology annotations and resources

    Blake Ja;Dolan M;Drabkin H

  • PANTHER version 7: improved phylogenetic trees, orthologs and collaboration with the Gene Ontology Consortium

    Huaiyu Mi;Qing Dong;Anushya Muruganujan;Pascale Gaudet

  • The Gene Ontology project in 2008

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

  • The Gene Ontology in 2010: Extensions and refinements

    Tanya Z. Berardini;Varsha K. Khodiyar;Ruth C. Lovering;Philippa Talmud

  • Toward interoperable bioscience data

    Susanna-Assunta Sansone;Philippe Rocca-Serra;Dawn Field;Eamonn Maguire

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

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

  • The Gene Ontology: Enhancements for 2011

    J. A. Blake;M. Dolan;H. Drabkin;D. P. Hill

  • neXtProt: a knowledge platform for human proteins

    Lydie Lane;Ghislaine Argoud-puy;Aurore Britan;Isabelle Cusin

  • Gene Ontology: Pitfalls, Biases, and Remedies.

    Pascale Gaudet;Christophe Dessimoz;Christophe Dessimoz;Christophe Dessimoz

  • The neXtProt knowledgebase on human proteins: 2017 update.

    Pascale Gaudet;Pascale Gaudet;Pierre-André Michel;Monique Zahn-Zabal;Aurore Britan

  • DisProt in 2022: improved quality and accessibility of protein intrinsic disorder annotation.

    Federica Quaglia;Federica Quaglia;Bálint Mészáros;Edoardo Salladini;András Hatos

  • The Gene Ontology's Reference Genome Project: A Unified Framework for Functional Annotation across Species

    Pascale Gaudet;Rex L Chisholm;Tanya Berardini;Emily Dimmer

  • Primer on the Gene Ontology

    Pascale Gaudet;Nives Škunca;Nives Škunca;Nives Škunca;James C. Hu;Christophe Dessimoz

  • neXtProt: organizing protein knowledge in the context of human proteome projects.

    Pascale Gaudet;Ghislaine Argoud-Puy;Isabelle Cusin;Paula Duek

  • Gene Ontology Causal Activity Modeling (GO-CAM) moves beyond GO annotations to structured descriptions of biological functions and systems.

    Paul D. Thomas;David P. Hill;Huaiyu Mi;David Osumi-Sutherland

  • The neXtProt knowledgebase on human proteins: current status

    Pascale Gaudet;Pierre-André Michel;Monique Zahn-Zabal;Isabelle Cusin

  • BioCreative III interactive task: an overview.

    Cecilia N Arighi;Phoebe M Roberts;Shashank Agarwal;Sanmitra Bhattacharya

  • dictyBase—a Dictyostelium bioinformatics resource update

    Petra Fey;Pascale Gaudet;Tomaz Curk;Blaz Zupan

Frequent Co-Authors

Rex L. Chisholm
Rex L. Chisholm Northwestern University
Amos Marc Bairoch
Amos Marc Bairoch Swiss Institute of Bioinformatics
Christopher J. Mungall
Christopher J. Mungall Lawrence Berkeley National Laboratory
Suzanna E. Lewis
Suzanna E. Lewis Lawrence Berkeley National Laboratory
Paul D. Thomas
Paul D. Thomas University of Southern California
Judith A. Blake
Judith A. Blake Edith Cowan University
Sandra Orchard
Sandra Orchard European Bioinformatics Institute
Paul W. Sternberg
Paul W. Sternberg California Institute of Technology
Patrick Ruch
Patrick Ruch Swiss Institute of Bioinformatics
Philippe Rocca-Serra
Philippe Rocca-Serra University of Oxford

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