Allergen Selection Algorithms

Allergen Selection Algorithms is a computational methodology within allergy diagnostics that systematically identifies and prioritizes relevant allergens for testing based on patient-specific data, exposure patterns, and immunological cross-reactivity profiles to optimize diagnostic accuracy and efficiency.

39

Publications

3.2K

Citations

256

Authors

129

Institutions

Publications per year

2017–2026

14

Authors

256

  1. RV
    Rudolf Valenta

    Medical University of Vienna, Austria

    2 publications · 187 citations

    2

    h-index

  2. GS
    Gregory S. Ladics

    DuPont (United States), United States

    2 publications · 111 citations

    2

    h-index

  3. JC
    Jabez Christopher

    Birla Institute of Technology and Science - Hyderabad Campus, India

    2 publications · 59 citations

    2

    h-index

  4. RF
    Robert F. Cressman

    Pioneer Hi-Bred, United States

    2 publications · 111 citations

    2

    h-index

  5. CH
    Corinne Hérouet-Guicheney

    Bayer (France), France

    2 publications · 120 citations

    2

    h-index

1–5 of 256

Venues

  1. Journal of Allergy and Clinical Immunology

    4 publications · 252 citations

    4

    h-index

  2. Regulatory Toxicology and Pharmacology

    RTP · 3 publications · 149 citations

    3

    h-index

  3. Toxicology in Vitro

    3 publications · 238 citations

    3

    h-index

  4. 3

    h-index

  5. Journal of Proteomics

    2 publications · 92 citations

    2

    h-index

1–5