Network Integration

Network Integration is a computational and statistical approach in network biology that combines multiple heterogeneous biological datasets and/or partial networks into a single, coherent network representation by mapping, reconciling, and weighting their nodes and edges to enable joint modeling and analysis of molecular systems.

1.5K

Publications

250K

Citations

6.2K

Authors

1.8K

Institutions

Publications per year

2017–2026

672

Authors

6.2K

  1. JW
    Jianxin Wang

    Central South University, China

    20 publications · 1.2K citations

    17

    h-index

  2. YP
    Yi Pan

    Georgia State University, United States

    18 publications · 1.2K citations

    16

    h-index

  3. FW
    Fang‐Xiang Wu

    University of Saskatchewan, Canada

    18 publications · 1.1K citations

    16

    h-index

  4. TI
    Trey Ideker

    University of California San Diego, United States

    18 publications · 64.6K citations

    15

    h-index

  5. ZY
    Zhu‐Hong You

    Xinjiang Technical Institute of Physics & Chemistry, China

    13 publications · 638 citations

    13

    h-index

1–5 of 6.2K

Venues

  1. Nucleic Acids Research

    72 publications · 80.3K citations

    52

    h-index

  2. Bioinformatics

    122 publications · 25K citations

    50

    h-index

  3. BMC Bioinformatics

    121 publications · 5.6K citations

    40

    h-index

  4. BMC Systems Biology

    56 publications · 3.1K citations

    30

    h-index

  5. PLoS Computational Biology

    44 publications · 3.3K citations

    29

    h-index

1–5