Cross-study Comparability

Cross-Study Comparability is a methodological attribute that enables consistent interpretation and integration of Operational Taxonomic Units across distinct research studies by standardizing taxonomic resolution, sequencing protocols, or bioinformatic processing to mitigate technical and analytical heterogeneity.

257

Publications

21.1K

Citations

1.7K

Authors

681

Institutions

Publications per year

2017–2026

93

Authors

1.7K

  1. CM
    Carol M. Hamilton

    RTI International, United States

    5 publications · 1K citations

    5

    h-index

  2. HP
    Huaqin Pan

    University of Oklahoma, United States

    3 publications · 964 citations

    3

    h-index

  3. EM
    Erin M. Ramos

    National Human Genome Research Institute, United States

    3 publications · 964 citations

    3

    h-index

  4. WH
    Wayne Huggins

    RTI International, United States

    3 publications · 966 citations

    3

    h-index

  5. MS
    Marcia S. Katigbak

    Washington State University, United States

    3 publications · 228 citations

    3

    h-index

1–5 of 1.7K

Venues

  1. PubMed

    Repository · 14 publications · 223 citations

    12

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 5 publications · 142 citations

    5

    h-index

  3. PLoS ONE

    5 publications · 247 citations

    5

    h-index

  4. Bioinformatics

    3 publications · 103 citations

    3

    h-index

  5. British Journal of Clinical Pharmacology

    BJCP · 3 publications · 80 citations

    3

    h-index

1–5