Lipidomics Data Analysis

Lipidomics Data Analysis is a systematic computational and statistical methodology for processing, interpreting, and modeling mass spectrometry or chromatography-based lipid profiling data to identify and quantify lipid species, characterize lipid metabolic pathways, and elucidate lipid-related biological functions within the broader framework of metabolomics.

523

Publications

31.2K

Citations

3.5K

Authors

1.1K

Institutions

Publications per year

2017–2026

352

Authors

3.5K

  1. XH
    Xianlin Han

    Washington University in St. Louis, United States

    12 publications · 1.4K citations

    12

    h-index

  2. AS
    Andrej Shevchenko

    Max Planck Institute of Molecular Cell Biology and Genetics, Germany

    12 publications · 2.7K citations

    12

    h-index

  3. MH
    Michal Holčapek

    University of Pardubice, Czechia

    11 publications · 839 citations

    11

    h-index

  4. MO
    Matej Orešič

    VTT Technical Research Centre of Finland, Finland

    11 publications · 1.3K citations

    11

    h-index

  5. PJ
    Peter J. Meikle

    Baker Heart and Diabetes Institute, Australia

    11 publications · 1.3K citations

    11

    h-index

1–5 of 3.5K

Venues

  1. Analytical Chemistry

    35 publications · 2.9K citations

    28

    h-index

  2. Metabolomics

    16 publications · 912 citations

    15

    h-index

  3. Metabolites

    15 publications · 573 citations

    14

    h-index

  4. Bioinformatics

    15 publications · 806 citations

    13

    h-index

  5. Analytica Chimica Acta

    13 publications · 425 citations

    13

    h-index

1–5