Phenotype Knowledge Graphs

Phenotype Knowledge Graph is a structured knowledge representation system that integrates phenotypic entities and their relationships across biological, clinical, and genetic domains using semantic web technologies to enable interoperability, reasoning, and harmonization of phenotype data.

27

Publications

3.4K

Citations

231

Authors

101

Institutions

Publications per year

2017–2026

16

Variants

Phenotype Knowledge Graph

Authors

231

  1. PN
    Peter N. Robinson

    Charité - Universitätsmedizin Berlin, Germany

    4 publications · 1.3K citations

    4

    h-index

  2. CM
    Chris Mungall

    Lawrence Berkeley National Laboratory, United States

    4 publications · 282 citations

    4

    h-index

  3. TJ
    Tiffany J. Callahan

    University of Colorado Anschutz Medical Campus, United States

    3 publications · 110 citations

    3

    h-index

  4. GV
    Georgios V. Gkoutos

    University of Birmingham, United Kingdom

    3 publications · 379 citations

    3

    h-index

  5. JM
    John M. Hancock

    Mary Lyon Centre at MRC Harwell, United Kingdom

    3 publications · 379 citations

    3

    h-index

1–5 of 231

Venues

  1. Journal of Biomedical Informatics

    4 publications · 131 citations

    4

    h-index

  2. Nucleic Acids Research

    4 publications · 1.3K citations

    4

    h-index

  3. Bioinformatics

    2 publications · 74 citations

    2

    h-index

  4. Journal of Biomedical Semantics

    JBMS · 1 publications · 14 citations

    1

    h-index

  5. eLife

    1 publications · 155 citations

    1

    h-index

1–5