Phenotype Data Integration

Phenotype Data Integration is a computational and methodological framework that enables the harmonization and synthesis of phenotypic data across heterogeneous sources by aligning biological, experimental, and contextual representations to support consistent interpretation and cross-study analysis.

197

Publications

21.5K

Citations

1.6K

Authors

554

Institutions

Publications per year

2017–2026

60

Authors

1.6K

  1. DS
    Damian Smedley

    Queen Mary University of London, United Kingdom

    16 publications · 2.8K citations

    14

    h-index

  2. CM
    Chris Mungall

    Lawrence Berkeley National Laboratory, United States

    15 publications · 2.6K citations

    14

    h-index

  3. PN
    Peter N. Robinson

    Charité - Universitätsmedizin Berlin, Germany

    13 publications · 2.2K citations

    13

    h-index

  4. MH
    Melissa Haendel

    Oregon Health & Science University, United States

    12 publications · 2.4K citations

    12

    h-index

  5. PN
    Paul N. Schofield

    University of Cambridge, United Kingdom

    13 publications · 1.6K citations

    12

    h-index

1–5 of 1.6K

Venues

  1. Nucleic Acids Research

    30 publications · 5.7K citations

    29

    h-index

  2. Bioinformatics

    19 publications · 778 citations

    17

    h-index

  3. Human Mutation

    9 publications · 320 citations

    9

    h-index

  4. BMC Bioinformatics

    9 publications · 537 citations

    9

    h-index

  5. PLoS ONE

    8 publications · 645 citations

    8

    h-index

1–5