World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
84
Citations
58879
World Ranking
395
National Ranking
136

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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