Proteome Mining

Proteome Mining is a computational method in reverse vaccinology that identifies potential antigenic proteins from the complete set of expressed proteins of a pathogen by systematically analyzing genomic and proteomic data to prioritize candidates for vaccine development.

913

Publications

46.2K

Citations

5.8K

Authors

1.7K

Institutions

Publications per year

2017–2026

364

Authors

5.8K

  1. PL
    Philip L. Felgner

    University of California, Irvine, United States

    8 publications · 472 citations

    8

    h-index

  2. DK
    Darja Kanduc

    University of Bari Aldo Moro, Italy

    8 publications · 241 citations

    8

    h-index

  3. DM
    Douglas M. Molina

    University of California, Irvine, United States

    7 publications · 517 citations

    7

    h-index

  4. GS
    Gilbert S. Omenn

    University of Michigan, United States

    7 publications · 402 citations

    7

    h-index

  5. AP
    Akhilesh Pandey

    Johns Hopkins University, United States

    7 publications · 2.6K citations

    7

    h-index

1–5 of 5.8K

Venues

  1. PROTEOMICS

    103 publications · 4.8K citations

    41

    h-index

  2. Journal of Proteome Research

    JPR · 75 publications · 4.3K citations

    35

    h-index

  3. PLoS ONE

    41 publications · 1.8K citations

    26

    h-index

  4. Molecular & Cellular Proteomics

    MCP · 28 publications · 2K citations

    22

    h-index

  5. Journal of Proteomics

    24 publications · 915 citations

    19

    h-index

1–5