Side Effect Network Analysis

Side Effect Network Analysis is a computational framework that maps and analyzes phenotypic associations between drugs and adverse effects by constructing networks of shared side effects to identify potential therapeutic repurposing opportunities.

24

Publications

2.4K

Citations

109

Authors

61

Institutions

Publications per year

2017–2026

11

Authors

109

  1. NA
    Nir Atias

    Tel Aviv University, Israel

    2 publications · 222 citations

    2

    h-index

  2. JL
    Joseph Loscalzo

    Brigham and Women's Hospital, United States

    2 publications · 65 citations

    2

    h-index

  3. XZ
    Xian Zhao

    Beijing Jiaotong University, China

    2 publications · 165 citations

    2

    h-index

  4. PB
    Peer Bork

    European Molecular Biology Laboratory, Germany

    2 publications · 227 citations

    2

    h-index

  5. LC
    Lei Chen

    Shanghai Maritime University, China

    2 publications · 165 citations

    2

    h-index

1–5 of 109

Venues

  1. PLoS ONE

    2 publications · 230 citations

    2

    h-index

  2. BMC Bioinformatics

    1 publications · 66 citations

    1

    h-index

  3. Cell Reports Methods

    1 publications · 41 citations

    1

    h-index

  4. CPT Pharmacometrics & Systems Pharmacology

    PSP · 1 publications · 28 citations

    1

    h-index

  5. Current Bioinformatics

    1 publications · 95 citations

    1

    h-index

1–5