Functional Module Detection

Functional Module Detection is a computational approach in protein-protein interaction analysis that identifies densely interconnected subnetworks of proteins sharing specific biological functions, thereby distinguishing functional modules from the broader interaction network based on topological and functional coherence.

195

Publications

12.1K

Citations

801

Authors

359

Institutions

Publications per year

2017–2026

59

Authors

801

  1. AZ
    Aidong Zhang

    University at Buffalo, State University of New York, United States

    10 publications · 475 citations

    10

    h-index

  2. JW
    Jianxin Wang

    Central South University, China

    9 publications · 936 citations

    9

    h-index

  3. YC
    Young‐Rae Cho

    University at Buffalo, State University of New York, United States

    7 publications · 392 citations

    7

    h-index

  4. ML
    Min Li

    Central South University, China

    7 publications · 639 citations

    7

    h-index

  5. YP
    Yi Pan

    Georgia State University, United States

    6 publications · 700 citations

    6

    h-index

1–5 of 801

Venues

  1. BMC Bioinformatics

    28 publications · 2.5K citations

    20

    h-index

  2. Bioinformatics

    11 publications · 2.6K citations

    11

    h-index

  3. BMC Systems Biology

    13 publications · 353 citations

    11

    h-index

  4. Scientific Reports

    7 publications · 350 citations

    7

    h-index

  5. 5

    h-index

1–5