Phenotype Knowledge Representation

Phenotype Knowledge Representation is a formal computational framework that structurally encodes phenotypic data and their semantic relationships within ontology-driven models to enable standardized interpretation, integration, and inference across biomedical domains.

139

Publications

12.6K

Citations

912

Authors

403

Institutions

Publications per year

2017–2026

45

Authors

912

  1. CM
    Chris Mungall

    Lawrence Berkeley National Laboratory, United States

    27 publications · 6.1K citations

    22

    h-index

  2. PN
    Peter N. Robinson

    Charité - Universitätsmedizin Berlin, Germany

    23 publications · 5.9K citations

    21

    h-index

  3. MH
    Melissa Haendel

    Oregon Health & Science University, United States

    20 publications · 5.6K citations

    19

    h-index

  4. GV
    Georgios V. Gkoutos

    University of Birmingham, United Kingdom

    16 publications · 2.3K citations

    15

    h-index

  5. RH
    Robert Hoehndorf

    King Abdullah University of Science and Technology, Saudi Arabia

    16 publications · 877 citations

    15

    h-index

1–5 of 912

Venues

  1. Journal of Biomedical Semantics

    JBMS · 14 publications · 555 citations

    12

    h-index

  2. Bioinformatics

    9 publications · 454 citations

    9

    h-index

  3. Nucleic Acids Research

    9 publications · 4.3K citations

    9

    h-index

  4. BMC Bioinformatics

    8 publications · 468 citations

    8

    h-index

  5. Database

    6 publications · 156 citations

    6

    h-index

1–5