Resistance Data Integration

Resistance Data Integration is a computational framework that synthesizes heterogeneous antimicrobial resistance datasets from diverse sources into a unified, interoperable structure to enable comprehensive analysis and interpretation within the domain of antimicrobial resistance informatics.

15

Publications

4.7K

Citations

187

Authors

116

Institutions

Publications per year

2017–2026

9

Authors

187

  1. AG
    Andrew G. McArthur

    McMaster University, Canada

    2 publications · 2.3K citations

    2

    h-index

  2. JP
    Jody Phelan

    London School of Hygiene & Tropical Medicine, United Kingdom

    1 publications · 21 citations

    1

    h-index

  3. SG
    Svetlana Gerdes

    Argonne National Laboratory, United States

    1 publications · 1.7K citations

    1

    h-index

  4. SF
    Silke Feuerriegel

    Research Center Borstel - Leibniz Lung Center, Germany

    1 publications · 313 citations

    1

    h-index

  5. LS
    Lee S. Katz

    Centers for Disease Control and Prevention, United States

    1 publications · 21 citations

    1

    h-index

1–5 of 187

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 2 publications · 57 citations

    2

    h-index

  2. Journal of Clinical Microbiology

    JCM · 1 publications · 313 citations

    1

    h-index

  3. Water Research

    1 publications · 54 citations

    1

    h-index

  4. Microbial Genomics

    MGen · 1 publications · 12 citations

    1

    h-index

  5. Nucleic Acids Research

    1 publications · 1.7K citations

    1

    h-index

1–5