Microbial Co-occurrence Analysis

Microbial Co-Occurrence Analysis is a computational method used in microbial ecology that identifies statistically significant associations among taxa across environmental samples to infer potential ecological interactions within a microbial community.

103

Publications

10K

Citations

651

Authors

320

Institutions

Publications per year

2017–2026

83

Authors

651

  1. KF
    Karoline Faust

    KU Leuven, Belgium

    4 publications · 3.3K citations

    4

    h-index

  2. HC
    Haiyan Chu

    Institute of Soil Science, China

    3 publications · 498 citations

    3

    h-index

  3. JA
    Jacob A. Cram

    University of Southern California, United States

    3 publications · 1.2K citations

    3

    h-index

  4. RK
    Rob Knight

    University of California San Diego, United States

    3 publications · 1.5K citations

    3

    h-index

  5. JR
    Jeroen Raes

    KU Leuven, Belgium

    3 publications · 2.7K citations

    3

    h-index

1–5 of 651

Venues

  1. Frontiers in Microbiology

    10 publications · 897 citations

    10

    h-index

  2. PLoS ONE

    7 publications · 370 citations

    7

    h-index

  3. Scientific Reports

    6 publications · 473 citations

    6

    h-index

  4. PLoS Computational Biology

    5 publications · 1.8K citations

    5

    h-index

  5. Bioinformatics

    4 publications · 223 citations

    4

    h-index

1–5