Integrative Interaction Network Analysis

Integrative Interaction Network Analysis is a systematic computational framework that combines heterogeneous biological data types, such as protein-protein interactions, gene expression, and functional annotations, to construct and analyze comprehensive network models that reveal emergent functional modules and regulatory mechanisms underlying cellular processes.

52

Publications

2.8K

Citations

338

Authors

168

Institutions

Publications per year

2017–2026

27

Authors

338

  1. ZZ
    Ziding Zhang

    China Agricultural University, China

    3 publications · 148 citations

    3

    h-index

  2. XD
    Xiaobao Dong

    Tianjin Medical University, China

    2 publications · 119 citations

    2

    h-index

  3. PP
    Philip Payne

    Washington University in St. Louis, United States

    2 publications · 66 citations

    2

    h-index

  4. ZJ
    Zhenhong Jiang

    China Agricultural University, China

    2 publications · 119 citations

    2

    h-index

  5. AC
    Adrianus C. M. Boon

    Washington University in St. Louis, United States

    2 publications · 66 citations

    2

    h-index

1–5 of 338

Venues

  1. Scientific Reports

    5 publications · 194 citations

    5

    h-index

  2. BMC Genomics

    3 publications · 76 citations

    3

    h-index

  3. BMC Bioinformatics

    3 publications · 127 citations

    3

    h-index

  4. Nucleic Acids Research

    2 publications · 73 citations

    2

    h-index

  5. Cell Reports

    2 publications · 164 citations

    2

    h-index

1–5