Network-based Community Analysis

Network-Based Community Analysis is a computational methodology that identifies and characterizes microbial interaction structures within complex metagenomic datasets by constructing and analyzing networks where nodes represent taxa or genes and edges represent inferred ecological or functional relationships.

137

Publications

17.8K

Citations

624

Authors

309

Institutions

Publications per year

2017–2026

74

Authors

624

  1. GM
    Gennady M. Verkhivker

    Chapman University, United States

    5 publications · 117 citations

    5

    h-index

  2. SA
    Steve Agajanian

    Chapman University, United States

    3 publications · 46 citations

    3

    h-index

  3. KM
    Kalai Mathee

    Florida International University, United States

    2 publications · 103 citations

    2

    h-index

  4. GG
    Grace Gupta

    Chapman University, United States

    2 publications · 26 citations

    2

    h-index

  5. JL
    Juyong Lee

    National Institutes of Health, United States

    2 publications · 57 citations

    2

    h-index

1–5 of 624

Venues

  1. Scientific Reports

    8 publications · 456 citations

    8

    h-index

  2. PLoS ONE

    6 publications · 125 citations

    6

    h-index

  3. BMC Bioinformatics

    5 publications · 3.4K citations

    5

    h-index

  4. Nature Communications

    5 publications · 869 citations

    5

    h-index

  5. The ISME Journal

    4 publications · 3.6K citations

    4

    h-index

1–5