Data-independent Acquisition Quantification

Data-Independent Acquisition Quantification is a mass spectrometry-based proteomic quantification method that distinguishes itself by systematically fragmenting all detectable precursor ions within predefined m/z windows regardless of their intensity, enabling unbiased and reproducible quantification of proteins across complex samples.

191

Publications

9.8K

Citations

1.1K

Authors

376

Institutions

Publications per year

2017–2026

150

Authors

1.1K

  1. MJ
    Michael J. MacCoss

    University of Washington, United States

    11 publications · 1.2K citations

    11

    h-index

  2. LR
    Lukas Reiter

    Biognosys (Switzerland), Switzerland

    9 publications · 1.4K citations

    9

    h-index

  3. BC
    Brian C. Searle

    University of Washington, United States

    7 publications · 281 citations

    7

    h-index

  4. BS
    Birgit Schilling

    Buck Institute for Research on Aging, United States

    7 publications · 291 citations

    7

    h-index

  5. BA
    Benjamin A. García

    University of Pennsylvania, United States

    5 publications · 279 citations

    6

    h-index

1–5 of 1.1K

Venues

  1. Journal of Proteome Research

    JPR · 32 publications · 1.7K citations

    21

    h-index

  2. Molecular & Cellular Proteomics

    MCP · 18 publications · 1.6K citations

    17

    h-index

  3. PROTEOMICS

    12 publications · 645 citations

    11

    h-index

  4. Analytical Chemistry

    9 publications · 447 citations

    9

    h-index

  5. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 8 publications · 176 citations

    8

    h-index

1–5