Pharmacogenomic Data Interpretation

Pharmacogenomic Data Interpretation is an analytical process within pharmacogenomics that translates individual genetic variation and associated molecular data into evidence-based predictions of drug response, toxicity, and optimal therapy selection.

516

Publications

33.8K

Citations

3K

Authors

1K

Institutions

Publications per year

2017–2026

154

Authors

3K

  1. TE
    Teri E. Klein

    Stanford University, United States

    30 publications · 6.3K citations

    25

    h-index

  2. RB
    Russ B. Altman

    Stanford University, United States

    21 publications · 2.6K citations

    17

    h-index

  3. MW
    Michelle Whirl‐Carrillo

    Stanford University, United States

    15 publications · 4.2K citations

    14

    h-index

  4. BH
    Benjamin Haibe‐Kains

    Princess Margaret Cancer Centre, Canada

    12 publications · 1.4K citations

    12

    h-index

  5. PS
    Petr Smirnov

    University of Toronto, Canada

    11 publications · 873 citations

    11

    h-index

1–5 of 3K

Venues

  1. The Pharmacogenomics Journal

    40 publications · 2.2K citations

    24

    h-index

  2. Pharmacogenomics

    32 publications · 1.2K citations

    21

    h-index

  3. Clinical Pharmacology & Therapeutics

    CPT · 29 publications · 4.7K citations

    21

    h-index

  4. Pharmacogenetics and Genomics

    16 publications · 827 citations

    13

    h-index

  5. PubMed

    Repository · 10 publications · 208 citations

    10

    h-index

1–5