Differential Abundance Analysis

Differential Abundance Analysis is a computational method used in comparative metagenomics and microbial community profiling that identifies statistically significant variations in the abundance of microbial taxa or functional elements across distinct biological conditions or environments.

744

Publications

66.1K

Citations

4K

Authors

1.3K

Institutions

Publications per year

2017–2026

440

Authors

4K

  1. RK
    Rob Knight

    University of California San Diego, United States

    12 publications · 6.7K citations

    13

    h-index

  2. DY
    David Yong

    Australian National University, Australia

    9 publications · 845 citations

    9

    h-index

  3. MA
    M. Asplund

    Australian National University, Australia

    8 publications · 831 citations

    8

    h-index

  4. JM
    J. Meléndez

    Universidade de São Paulo, Brazil

    8 publications · 831 citations

    8

    h-index

  5. YV
    Yoshiki Vázquez‐Baeza

    University of California San Diego, United States

    6 publications · 2.7K citations

    6

    h-index

1–5 of 4K

Venues

  1. Proceedings of the National Academy of Sciences

    PNAS · 132 publications · 10.7K citations

    50

    h-index

  2. Scientific Reports

    25 publications · 1.5K citations

    21

    h-index

  3. PLoS ONE

    23 publications · 752 citations

    19

    h-index

  4. Bioinformatics

    17 publications · 1K citations

    15

    h-index

  5. Journal of Proteome Research

    JPR · 17 publications · 1.2K citations

    15

    h-index

1–5