Phenotype Interoperability

Phenotype Interoperability is a formal framework that enables the consistent integration, exchange, and interpretation of phenotypic data across diverse systems, standards, and ontologies by aligning heterogeneous phenotype representations through shared semantic models.

26

Publications

3.9K

Citations

316

Authors

189

Institutions

Publications per year

2017–2026

6

Authors

316

  1. CM
    Chris Mungall

    Lawrence Berkeley National Laboratory, United States

    9 publications · 3K citations

    9

    h-index

  2. MH
    Melissa Haendel

    Oregon Health & Science University, United States

    7 publications · 3K citations

    7

    h-index

  3. GV
    Georgios V. Gkoutos

    University of Birmingham, United Kingdom

    7 publications · 2.1K citations

    7

    h-index

  4. CL
    Cynthia L. Smith

    Jackson Laboratory, United States

    4 publications · 1.9K citations

    4

    h-index

  5. SL
    Suzanna Lewis

    Lawrence Berkeley National Laboratory, United States

    4 publications · 1.8K citations

    4

    h-index

1–5 of 316

Venues

  1. Bioinformatics

    3 publications · 91 citations

    3

    h-index

  2. Journal of Biomedical Semantics

    JBMS · 3 publications · 287 citations

    3

    h-index

  3. Genome biology

    2 publications · 1.1K citations

    2

    h-index

  4. BMC Bioinformatics

    2 publications · 73 citations

    2

    h-index

  5. Nucleic Acids Research

    2 publications · 1.6K citations

    2

    h-index

1–5