Pathway Data Models

Pathway Data Models is a formal computational framework that structurally represents biological pathways by specifying the relationships among molecular entities and their interactions, distinguished by its focus on encoding pathway topology, dynamics, and biological semantics for integration, analysis, and interpretation within pathway databases.

91

Publications

9.9K

Citations

459

Authors

172

Institutions

Publications per year

2017–2026

17

Authors

459

  1. ED
    Emek Demir

    Oregon Health & Science University, United States

    9 publications · 625 citations

    9

    h-index

  2. ÖB
    Özgün Babur

    Oregon Health & Science University, United States

    7 publications · 729 citations

    7

    h-index

  3. CS
    Chris Sander

    Memorial Sloan Kettering Cancer Center, United States

    7 publications · 642 citations

    7

    h-index

  4. GD
    Gary D. Bader

    University of Toronto, Canada

    6 publications · 733 citations

    6

    h-index

  5. UD
    Uğur Doğrusöz

    Bilkent University, Türkiye

    5 publications · 632 citations

    5

    h-index

1–5 of 459

Venues

  1. Bioinformatics

    22 publications · 1.5K citations

    20

    h-index

  2. Nucleic Acids Research

    11 publications · 4.1K citations

    11

    h-index

  3. BMC Bioinformatics

    10 publications · 473 citations

    10

    h-index

  4. Briefings in Bioinformatics

    3 publications · 219 citations

    3

    h-index

  5. PubMed

    Repository · 3 publications · 190 citations

    3

    h-index

1–5