Spectral Matching

Spectral Matching is a computational method in mass spectrometry-based metabolomics and proteomics that identifies and quantifies molecular species by comparing experimentally observed mass spectra against reference spectral libraries based on similarity metrics.

398

Publications

22.9K

Citations

1.6K

Authors

618

Institutions

Publications per year

2017–2026

155

Authors

1.6K

  1. FW
    Fred W. McLafferty

    Cornell University, United States

    11 publications · 631 citations

    10

    h-index

  2. DB
    Douglas B. Stauffer

    Cornell University, United States

    7 publications · 273 citations

    7

    h-index

  3. TB
    Thirimachos Bourlai

    West Virginia University, United States

    6 publications · 281 citations

    6

    h-index

  4. DS
    David S. Wishart

    University of Alberta, Canada

    5 publications · 1.1K citations

    6

    h-index

  5. ZF
    Zhou Fan

    Yale University, United States

    4 publications · 86 citations

    5

    h-index

1–5 of 1.6K

Venues

  1. Analytical Chemistry

    42 publications · 4K citations

    29

    h-index

  2. International Journal of Remote Sensing

    14 publications · 929 citations

    14

    h-index

  3. Journal of the American Society for Mass Spectrometry

    JASMS · 11 publications · 1.8K citations

    12

    h-index

  4. Remote Sensing

    8 publications · 196 citations

    9

    h-index

  5. Journal of Proteome Research

    JPR · 8 publications · 522 citations

    8

    h-index

1–5