Quantitative Secretome Analysis

Quantitative Secretome Analysis is a computational and experimental framework within proteomics that systematically measures and compares the dynamic changes in protein abundance across secreted proteomes under varying biological conditions.

130

Publications

7K

Citations

906

Authors

308

Institutions

Publications per year

2017–2026

46

Authors

906

  1. SS
    Sunil S. Adav

    Nanyang Technological University, Singapore

    8 publications · 587 citations

    8

    h-index

  2. SK
    Siu Kwan Sze

    Nanyang Technological University, Singapore

    8 publications · 587 citations

    8

    h-index

  3. AP
    Akhilesh Pandey

    Johns Hopkins University, United States

    5 publications · 888 citations

    5

    h-index

  4. CR
    Cristina Ruíz‐Romero

    Instituto de Investigación Biomédica de A Coruña, Spain

    4 publications · 218 citations

    4

    h-index

  5. KS
    Kai Stühler

    Heinrich Heine University Düsseldorf, Germany

    4 publications · 184 citations

    4

    h-index

1–5 of 906

Venues

  1. Journal of Proteome Research

    JPR · 17 publications · 1.1K citations

    15

    h-index

  2. Journal of Proteomics

    17 publications · 543 citations

    14

    h-index

  3. Molecular & Cellular Proteomics

    MCP · 12 publications · 1.2K citations

    12

    h-index

  4. PROTEOMICS

    8 publications · 201 citations

    8

    h-index

  5. Scientific Reports

    5 publications · 191 citations

    5

    h-index

1–5