Hiv Diagnostic Algorithms

HIV Diagnostic Algorithms is a systematic framework comprising a defined sequence of laboratory tests and interpretive criteria used to accurately identify and confirm HIV infection, distinguishing it from other diagnostic protocols through its structured, evidence-based approach tailored to different population groups, epidemiological settings, and stages of infection.

347

Publications

15.1K

Citations

2.6K

Authors

742

Institutions

Publications per year

2017–2026

79

Authors

2.6K

  1. BP
    Bharat Parekh

    Centers for Disease Control and Prevention, United States

    15 publications · 632 citations

    14

    h-index

  2. OL
    Oliver Laeyendecker

    Johns Hopkins University, United States

    15 publications · 608 citations

    13

    h-index

  3. GM
    Gary Murphy

    Public Health England, United Kingdom

    13 publications · 703 citations

    13

    h-index

  4. SH
    Susan H. Eshleman

    Johns Hopkins University, United States

    12 publications · 484 citations

    12

    h-index

  5. CD
    Christopher D. Pilcher

    University of California, San Francisco, United States

    11 publications · 700 citations

    11

    h-index

1–5 of 2.6K

Venues

  1. AIDS

    28 publications · 1.8K citations

    27

    h-index

  2. PLoS ONE

    35 publications · 1.3K citations

    22

    h-index

  3. Journal of Clinical Microbiology

    JCM · 27 publications · 1K citations

    20

    h-index

  4. 19

    h-index

  5. Journal of Clinical Virology

    20 publications · 608 citations

    16

    h-index

1–5