Spectral Library Generation

Spectral Library Generation is the systematic process of constructing a curated compendium of experimentally observed mass spectral signatures, annotated with peptide and protein identities, to serve as a reference framework for the accurate identification and quantification of proteins in targeted proteomics experiments.

369

Publications

32K

Citations

2K

Authors

754

Institutions

Publications per year

2017–2026

196

Authors

2K

  1. SE
    Stephen E. Stein

    National Institute of Standards and Technology, United States

    11 publications · 1.2K citations

    11

    h-index

  2. RA
    Ruedi Aebersold

    ETH Zurich, Switzerland

    11 publications · 4.2K citations

    10

    h-index

  3. HL
    Henry Lam

    Hong Kong University of Science and Technology, Hong Kong SAR China

    9 publications · 1.1K citations

    9

    h-index

  4. TG
    Tiannan Guo

    Westlake University, China

    9 publications · 356 citations

    9

    h-index

  5. AI
    Alexey I. Nesvizhskii

    University of Michigan, United States

    7 publications · 921 citations

    7

    h-index

1–5 of 2K

Venues

  1. Journal of Proteome Research

    JPR · 36 publications · 1.4K citations

    23

    h-index

  2. Analytical Chemistry

    23 publications · 1.9K citations

    19

    h-index

  3. PROTEOMICS

    20 publications · 1.2K citations

    16

    h-index

  4. Nature Communications

    13 publications · 2.9K citations

    13

    h-index

  5. Scientific Data

    12 publications · 347 citations

    12

    h-index

1–5