Hla Compatibility Algorithms

HLA Compatibility Algorithms is a computational methodology designed to quantify the degree of human leukocyte antigen (HLA) similarity between donor and recipient pairs by integrating allelic matching, epitope recognition, and immunogenicity predictions to optimize transplantation outcomes.

15

Publications

1.2K

Citations

81

Authors

50

Institutions

Publications per year

2017–2026

4

Authors

81

  1. RJ
    René J. Duquesnoy

    University of Pittsburgh Medical Center, United States

    5 publications · 309 citations

    5

    h-index

  2. FH
    Frans H.J. Claas

    Leiden University Medical Center, Netherlands

    3 publications · 268 citations

    3

    h-index

  3. ST
    Steve Takemoto

    University of California, Los Angeles, United States

    2 publications · 200 citations

    2

    h-index

  4. PD
    Peter de Lange

    Leiden University Medical Center, Netherlands

    2 publications · 170 citations

    2

    h-index

  5. JM
    Joannis Mytilineos

    Heidelberg University, Germany

    2 publications · 45 citations

    2

    h-index

1–5 of 81

Venues

  1. Transplantation

    6 publications · 854 citations

    6

    h-index

  2. American Journal of Transplantation

    1 publications · 44 citations

    1

    h-index

  3. Transfusion

    1 publications · 76 citations

    1

    h-index

  4. Human Immunology

    1 publications · 28 citations

    1

    h-index

  5. International Journal of Immunogenetics

    1 publications · 14 citations

    1

    h-index

1–5