Data-independent Acquisition

Data-Independent Acquisition is a mass spectrometry data acquisition strategy, within the broader class of proteomics and metabolomics methodologies, that systematically fragments all detectable precursor ions within predefined m/z windows regardless of their intensity, thereby distinguishing itself from data-dependent approaches by ensuring comprehensive and unbiased sampling of the analyte population.

620

Publications

39.3K

Citations

3.7K

Authors

1.1K

Institutions

Publications per year

2017–2026

501

Authors

3.7K

  1. RA
    Ruedi Aebersold

    ETH Zurich, Switzerland

    23 publications · 6.9K citations

    21

    h-index

  2. MJ
    Michael J. MacCoss

    University of Washington, United States

    26 publications · 2.5K citations

    21

    h-index

  3. TG
    Tiannan Guo

    Westlake University, China

    19 publications · 1.3K citations

    16

    h-index

  4. LR
    Lukas Reiter

    Biognosys (Switzerland), Switzerland

    14 publications · 5.2K citations

    14

    h-index

  5. YL
    Yansheng Liu

    Yale University, United States

    13 publications · 2.3K citations

    13

    h-index

1–5 of 3.7K

Venues

  1. Analytical Chemistry

    69 publications · 3.7K citations

    38

    h-index

  2. Journal of Proteome Research

    JPR · 74 publications · 3.8K citations

    33

    h-index

  3. Molecular & Cellular Proteomics

    MCP · 44 publications · 6.8K citations

    31

    h-index

  4. Nature Communications

    28 publications · 3.4K citations

    25

    h-index

  5. PROTEOMICS

    32 publications · 2.3K citations

    22

    h-index

1–5