Mass Spectral Deconvolution

Mass Spectral Deconvolution is a computational method in mass spectrometry that resolves overlapping ion signals into their constituent components by distinguishing convoluted peaks arising from multiple co-eluting species based on their isotopic, adduct, or charge state patterns.

167

Publications

10.1K

Citations

707

Authors

278

Institutions

Publications per year

2017–2026

50

Authors

707

  1. AR
    Albert Robbat

    Tufts University, United States

    7 publications · 200 citations

    7

    h-index

  2. MT
    Michael T. Marty

    University of Arizona, United States

    5 publications · 1.2K citations

    5

    h-index

  3. TV
    Tincuta Veriotti

    University of Michigan, United States

    4 publications · 124 citations

    4

    h-index

  4. RS
    Richard Sacks

    University of Michigan, United States

    4 publications · 124 citations

    4

    h-index

  5. JS
    John Skilling

    University of Cambridge, United Kingdom

    3 publications · 193 citations

    3

    h-index

1–5 of 707

Venues

  1. Analytical Chemistry

    29 publications · 2.3K citations

    21

    h-index

  2. Journal of the American Society for Mass Spectrometry

    JASMS · 19 publications · 1.3K citations

    16

    h-index

  3. Rapid Communications in Mass Spectrometry

    RCM · 11 publications · 682 citations

    11

    h-index

  4. Journal of Chromatography A

    9 publications · 328 citations

    9

    h-index

  5. Journal of Proteome Research

    JPR · 5 publications · 314 citations

    5

    h-index

1–5