Co-occurrence Network Analysis

Co-Occurrence Network Analysis is a computational method in microbial omics integration that infers ecological associations among microbial taxa or functional elements by constructing networks based on the statistical co-occurrence patterns observed across environmental or biological samples.

413

Publications

27.8K

Citations

2.3K

Authors

801

Institutions

Publications per year

2017–2026

375

Authors

2.3K

  1. SK
    Sagar Kamarthi

    Northeastern University, United States

    4 publications · 502 citations

    4

    h-index

  2. LW
    Lucas William Mendes

    Universidade de São Paulo, Brazil

    4 publications · 115 citations

    4

    h-index

  3. ZH
    Zhili He

    University of Oklahoma, United States

    4 publications · 265 citations

    4

    h-index

  4. YD
    Ye Deng

    Chinese Academy of Sciences, China

    4 publications · 355 citations

    4

    h-index

  5. GG
    Guang Gao

    Nanjing Institute of Geography and Limnology, China

    4 publications · 126 citations

    4

    h-index

1–5 of 2.3K

Venues

  1. Frontiers in Microbiology

    43 publications · 4.1K citations

    26

    h-index

  2. Sustainability

    19 publications · 863 citations

    17

    h-index

  3. Scientific Reports

    17 publications · 1.1K citations

    16

    h-index

  4. The Science of The Total Environment

    20 publications · 1.2K citations

    16

    h-index

  5. Microorganisms

    10 publications · 271 citations

    9

    h-index

1–5