Epitope Deconvolution

Epitope Deconvolution is a computational or experimental method used in immunology to identify the specific molecular determinants, or epitopes, recognized by antibodies or T cells within a complex antigenic landscape.

6

Publications

522

Citations

59

Authors

26

Institutions

Publications per year

2017–2026

4

Authors

59

  1. MR
    Mario Roederer

    National Institutes of Health, United States

    2 publications · 82 citations

    2

    h-index

  2. JP
    Joseph P. Casazza

    National Institutes of Health, United States

    1 publications · 42 citations

    1

    h-index

  3. FP
    Florian P. Breitwieser

    Johns Hopkins University, United States

    1 publications · 40 citations

    1

    h-index

  4. RS
    Ronald Sjöberg

    KTH Royal Institute of Technology, Sweden

    1 publications · 19 citations

    1

    h-index

  5. PG
    Philippe Guillaume

    Ludwig Cancer Research, Switzerland

    1 publications · 305 citations

    1

    h-index

1–5 of 59

Venues

  1. Journal of Clinical Investigation

    JCI · 1 publications · 50 citations

    1

    h-index

  2. Cytometry Part A

    1 publications · 42 citations

    1

    h-index

  3. Histochemistry and Cell Biology

    1 publications · 66 citations

    1

    h-index

  4. Nature Biotechnology

    1 publications · 305 citations

    1

    h-index

  5. EBioMedicine

    1 publications · 40 citations

    1

    h-index

1–5