World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
84
Citations
58879
World Ranking
396
National Ranking
137

Christopher J. Mungall 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 Christopher J. Mungall 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: 297 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Christopher J. Mungall 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 Christopher J. Mungall 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: 84 D-Index — 96th percentile

96% of scientists in this discipline score the same or lower.

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

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Programming language
  • Genetics

His primary areas of investigation include Genetics, Ontology, Computational biology, Annotation and The Internet. His Ontology research includes themes of Human Phenotype Ontology, Biological Ontologies and OBO Foundry. His Computational biology research integrates issues from Natural language processing, Artificial intelligence and Genomics.

The study incorporates disciplines such as Genome project, Upload, Information retrieval and Candidate gene in addition to Annotation. His Genome project research incorporates elements of Web resource, Documentation and Sequence annotation. His The Internet research includes elements of Controlled vocabulary, Genome browser and Database.

His most cited work include:

  • Genome sequence of the human malaria parasite Plasmodium falciparum (3623 citations)
  • The Gene Ontology (GO) database and informatics resource. (2884 citations)
  • The Gene Ontology (GO) database and informatics resource. (2884 citations)

What are the main themes of his work throughout his whole career to date?

His scientific interests lie mostly in Ontology, Computational biology, Information retrieval, Data science and Annotation. His Ontology research integrates issues from Controlled vocabulary, World Wide Web and Biological Ontologies. His work on Semantic Web as part of general World Wide Web research is frequently linked to Resource, bridging the gap between disciplines.

His Computational biology study combines topics from a wide range of disciplines, such as Phenotype, Genetics, Human Phenotype Ontology, Gene and Genomics. He combines subjects such as Precision medicine and Data integration with his study of Data science. His Annotation research focuses on subjects like The Internet, which are linked to Database.

He most often published in these fields:

  • Ontology (50.40%)
  • Computational biology (23.41%)
  • Information retrieval (20.24%)

What were the highlights of his more recent work (between 2017-2021)?

  • Ontology (50.40%)
  • Computational biology (23.41%)
  • Data science (18.25%)

In recent papers he was focusing on the following fields of study:

His main research concerns Ontology, Computational biology, Data science, Information retrieval and World Wide Web. His studies deal with areas such as Metadata, Annotation, Data integration, Gene Annotation and Big data as well as Ontology. His Big data research is multidisciplinary, incorporating perspectives in Controlled vocabulary and Knowledge sharing.

He interconnects Serial homology, Logical data model and Set in the investigation of issues within Computational biology. His biological study spans a wide range of topics, including LOINC, Human Phenotype Ontology and Gene ontology. Christopher J. Mungall has included themes like Clinical terminology, Disease Ontology and Rare disease in his World Wide Web study.

Between 2017 and 2021, his most popular works were:

  • The Gene Ontology Resource: 20 years and still GOing strong (1527 citations)
  • Expansion of the Human Phenotype Ontology (HPO) knowledge base and resources. (276 citations)
  • GOATOOLS: A Python library for Gene Ontology analyses. (215 citations)

In his most recent research, the most cited papers focused on:

  • Gene
  • Programming language
  • Artificial intelligence

His primary areas of study are Ontology, World Wide Web, Information retrieval, Resource and Biological Ontologies. His research in Ontology is mostly concerned with Open Biomedical Ontologies. Much of his study explores World Wide Web relationship to Annotation.

His Annotation study integrates concerns from other disciplines, such as UniProt and Assertion. The Information retrieval study which covers Gene ontology that intersects with Python, Molecular Sequence Annotation and Interpretation. In his research on the topic of Biological Ontologies, LOINC, Identifier, Software and The Internet is strongly related with Human Phenotype Ontology.

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 OBO Foundry : coordinated evolution of ontologies to support biomedical data integration

    Barry Smith;Michael Ashburner;Cornelius Rosse;Jonathan Bard

  • The Gene Ontology knowledgebase in 2023

    Unknown

  • AmiGO: online access to ontology and annotation data

    Seth Carbon;Amelia Ireland;Christopher J. Mungall;ShengQiang Shu

  • The Bioperl Toolkit: Perl Modules for the Life Sciences

    Jason E. Stajich;David Block;David Block;Kris Boulez;Steven E. Brenner

  • Relations in biomedical ontologies

    Barry Smith;Barry Smith;Werner Ceusters;Bert Klagges;Jacob Köhler

  • The Generic Genome Browser: A Building Block for a Model Organism System Database

    Lincoln D. Stein;Christopher Mungall;ShengQiang Shu;Michael Caudy

  • GOATOOLS: A Python library for Gene Ontology analyses.

    D. V. Klopfenstein;Liangsheng Zhang;Brent S. Pedersen;Fidel Ramírez

  • The Human Phenotype Ontology in 2021

    Sebastian Köhler;Michael Gargano;Nicolas Matentzoglu;Leigh C. Carmody

  • The Sequence Ontology: a tool for the unification of genome annotations

    Karen Eilbeck;Suzanna E Lewis;Christopher J Mungall;Mark D Yandell

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

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

  • JBrowse: a next-generation genome browser.

    Mitchell E. Skinner;Andrew V. Uzilov;Lincoln D. Stein;Christopher J. Mungall

  • The Human Phenotype Ontology in 2017

    Sebastian Köhler;Nicole A. Vasilevsky;Mark Engelstad;Erin D. Foster

  • Uberon, an integrative multi-species anatomy ontology

    Christopher J Mungall;Carlo Torniai;Georgios V Gkoutos;Suzanna E Lewis

  • Gene ontology annotations and resources

    Blake Ja;Dolan M;Drabkin H

  • The Gene Ontology project in 2008

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

  • Expansion of the Human Phenotype Ontology (HPO) knowledge base and resources

    Sebastian Köhler;Leigh Carmody;Nicole A. Vasilevsky;Julius O. B. Jacobsen

  • Apollo: a sequence annotation editor

    SE Lewis;Smj Searle;N Harris;N Harris;M Gibson

  • An integrated expression atlas of miRNAs and their promoters in human and mouse.

    Derek De Rie;Imad Abugessaisa;Tanvir Alam;Erik Arner

  • The Matchmaker Exchange: a platform for rare disease gene discovery

    Anthony A. Philippakis;Anthony A. Philippakis;Anthony A. Philippakis;Danielle R. Azzariti;Sergi Beltran;Anthony J. Brookes

  • Annotation of the Drosophila melanogaster euchromatic genome: a systematic review.

    Sima Misra;Madeline A Crosby;Christopher J Mungall;Beverley B Matthews

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

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

  • A Chado case study

    Christopher J. Mungall;David B. Emmert

  • A Whole-Genome Analysis Framework for Effective Identification of Pathogenic Regulatory Variants in Mendelian Disease

    Damian Smedley;Max Schubach;Julius O O.B. Jacobsen;Sebastian Köhler

  • Global biotic interactions: An open infrastructure to share and analyze species-interaction datasets

    Jorrit H. Poelen;James D. Simons;Chris J. Mungall

  • Finding Our Way through Phenotypes.

    Andrew R. Deans;Suzanna E. Lewis;Eva Huala;Salvatore S. Anzaldo

  • Disease model discovery from 3,328 gene knockouts by The International Mouse Phenotyping Consortium

    Terrence F Meehan;Nathalie Conte;David B West;Julius O Jacobsen

  • The Planteome database:: an integrated resource for reference ontologies, plant genomics and phenomics

    Laurel Cooper;Austin Meier;Marie-Angélique Laporte;Justin L Elser

Frequent Co-Authors

Melissa A. Haendel
Melissa A. Haendel University of Colorado Anschutz Medical Campus
Suzanna E. Lewis
Suzanna E. Lewis Lawrence Berkeley National Laboratory
Peter N. Robinson
Peter N. Robinson The Jackson Laboratory
James P. Balhoff
James P. Balhoff University of North Carolina at Chapel Hill
Damian Smedley
Damian Smedley Queen Mary University of London
Judith A. Blake
Judith A. Blake Edith Cowan University
Pankaj Jaiswal
Pankaj Jaiswal Oregon State University
Michael Ashburner
Michael Ashburner University of Cambridge
Pascale Gaudet
Pascale Gaudet Swiss Institute of Bioinformatics
Monte Westerfield
Monte Westerfield University of Oregon

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