Immunogenicity Optimization

Immunogenicity Optimization is a computational or experimental strategy, as a methodological framework, that systematically enhances the ability of vaccine antigens to elicit specific and robust immune responses by refining their molecular properties, structural features, or delivery contexts to maximize immunogenic potential while maintaining safety and specificity.

140

Publications

6.8K

Citations

915

Authors

297

Institutions

Publications per year

2017–2026

46

Authors

915

  1. TM
    Ted M. Ross

    University of Georgia, United States

    8 publications · 633 citations

    8

    h-index

  2. BW
    Britta Wahrén

    Karolinska Institutet, Sweden

    3 publications · 84 citations

    3

    h-index

  3. KE
    Karl E. Griswold

    Dartmouth College, United States

    3 publications · 119 citations

    3

    h-index

  4. OK
    Oliver Kohlbacher

    University of Tübingen, Germany

    3 publications · 113 citations

    3

    h-index

  5. CB
    Chris Bailey‐Kellogg

    Dartmouth College, United States

    3 publications · 119 citations

    3

    h-index

1–5 of 915

Venues

  1. Vaccine

    30 publications · 1.4K citations

    20

    h-index

  2. Journal of Virology

    JVI · 8 publications · 780 citations

    8

    h-index

  3. PLoS ONE

    5 publications · 187 citations

    5

    h-index

  4. Virology

    5 publications · 432 citations

    5

    h-index

  5. Proceedings of the National Academy of Sciences

    PNAS · 3 publications · 323 citations

    3

    h-index

1–5