Microbial Network Analysis

Microbial Network Analysis is a computational and statistical methodology that infers and examines complex interactions among microbial taxa within a community by constructing network models where nodes represent microbial entities and edges represent significant co-occurrence or co-exclusion patterns, enabling the identification of keystone species and functional relationships underlying microbiome structure and stability.

258

Publications

34.6K

Citations

1.2K

Authors

537

Institutions

Publications per year

2017–2026

192

Authors

1.2K

  1. KF
    Karoline Faust

    KU Leuven, Belgium

    9 publications · 2K citations

    9

    h-index

  2. YD
    Ye Deng

    Chinese Academy of Sciences, China

    8 publications · 3.1K citations

    8

    h-index

  3. JR
    Jeroen Raes

    KU Leuven, Belgium

    6 publications · 1.4K citations

    6

    h-index

  4. JZ
    Jizhong Zhou

    University of Oklahoma, United States

    6 publications · 3.4K citations

    6

    h-index

  5. DS
    Daniel Segrè

    Boston University, United States

    5 publications · 272 citations

    5

    h-index

1–5 of 1.2K

Venues

  1. Scientific Reports

    11 publications · 642 citations

    11

    h-index

  2. Bioinformatics

    10 publications · 967 citations

    10

    h-index

  3. The Science of The Total Environment

    9 publications · 568 citations

    9

    h-index

  4. PLoS Computational Biology

    8 publications · 3.2K citations

    8

    h-index

  5. Frontiers in Microbiology

    8 publications · 2.5K citations

    8

    h-index

1–5