Data-dependent Acquisition Quantification

Data-Dependent Acquisition Quantification is a mass spectrometry-based protein quantification method that selectively isolates and fragments the most abundant precursor ions in real time to generate quantitative data, distinguishing itself from data-independent approaches by its dynamic, intensity-driven selection of analytes for sequencing.

13

Publications

546

Citations

62

Authors

30

Institutions

Publications per year

2017–2026

10

Authors

62

  1. LR
    Lukas Reiter

    Biognosys (Switzerland), Switzerland

    2 publications · 114 citations

    2

    h-index

  2. BZ
    Bo Zhang

    Karolinska Institutet, Sweden

    1 publications · 73 citations

    1

    h-index

  3. LS
    Lin Shi

    Shaanxi University of Science and Technology, China

    1 publications · 53 citations

    1

    h-index

  4. AP
    Adán Pinto-Fernández

    University of Oxford, United Kingdom

    1 publications · 17 citations

    1

    h-index

  5. BV
    Brent Vadopalas

    University of Washington, United States

    1 publications · 31 citations

    1

    h-index

1–5 of 62

Venues

  1. Journal of Proteome Research

    JPR · 4 publications · 259 citations

    4

    h-index

  2. PROTEOMICS

    2 publications · 64 citations

    2

    h-index

  3. Journal of the American Society for Mass Spectrometry

    JASMS · 1 publications · 24 citations

    1

    h-index

  4. Journal of Agricultural and Food Chemistry

    1 publications · 53 citations

    1

    h-index

  5. mSystems

    1 publications · 18 citations

    1

    h-index

1–5