Disease Subnetwork Analysis

Disease Subnetwork Analysis is a computational method that identifies and characterizes functionally coherent, disease-relevant modules within larger biological networks by integrating molecular interaction data with disease-associated genetic or phenotypic information.

126

Publications

6.4K

Citations

658

Authors

306

Institutions

Publications per year

2017–2026

56

Authors

658

  1. JZ
    Jun Zhu

    Icahn School of Medicine at Mount Sinai, United States

    3 publications · 139 citations

    3

    h-index

  2. DZ
    Daoqiang Zhang

    Nanjing University of Aeronautics and Astronautics, China

    3 publications · 114 citations

    3

    h-index

  3. LW
    Limsoon Wong

    National University of Singapore, Singapore

    3 publications · 128 citations

    3

    h-index

  4. JL
    Joseph Loscalzo

    Brigham and Women's Hospital, United States

    3 publications · 288 citations

    3

    h-index

  5. JY
    Jialiang Yang

    Cipher Gene (China), China

    3 publications · 147 citations

    3

    h-index

1–5 of 658

Venues

  1. Bioinformatics

    17 publications · 1.7K citations

    15

    h-index

  2. BMC Bioinformatics

    9 publications · 406 citations

    9

    h-index

  3. PLoS ONE

    6 publications · 361 citations

    6

    h-index

  4. Scientific Reports

    5 publications · 303 citations

    5

    h-index

  5. Nucleic Acids Research

    4 publications · 113 citations

    4

    h-index

1–5