Hiv Testing Algorithms

HIV Testing Algorithms is a standardized methodological framework that systematizes the sequence and interpretation of laboratory tests to accurately diagnose HIV infection while minimizing false positives and false negatives.

370

Publications

15.9K

Citations

2.6K

Authors

754

Institutions

Publications per year

2017–2026

80

Authors

2.6K

  1. BP
    Bharat Parekh

    Centers for Disease Control and Prevention, United States

    16 publications · 763 citations

    14

    h-index

  2. CD
    Christopher D. Pilcher

    University of California, San Francisco, United States

    12 publications · 847 citations

    12

    h-index

  3. SM
    S. Michele Owen

    Centers for Disease Control and Prevention, United States

    12 publications · 621 citations

    12

    h-index

  4. GM
    Gary Murphy

    Public Health England, United Kingdom

    12 publications · 687 citations

    12

    h-index

  5. OL
    Oliver Laeyendecker

    Johns Hopkins University, United States

    12 publications · 497 citations

    12

    h-index

1–5 of 2.6K

Venues

  1. AIDS

    26 publications · 1.8K citations

    24

    h-index

  2. PLoS ONE

    36 publications · 1.3K citations

    22

    h-index

  3. Journal of Clinical Microbiology

    JCM · 30 publications · 1.2K citations

    20

    h-index

  4. 20

    h-index

  5. Journal of Clinical Virology

    20 publications · 660 citations

    16

    h-index

1–5