Metabolomics Data Integration

Metabolomics Data Integration is a computational framework that combines metabolomic profiles with other omics or clinical data types to enable a systems-level understanding of metabolic phenotypes by aligning, normalizing, and modeling heterogeneous biological datasets.

275

Publications

31K

Citations

2K

Authors

749

Institutions

Publications per year

2017–2026

157

Authors

2K

  1. SS
    Susanna‐Assunta Sansone

    University of Oxford, United Kingdom

    11 publications · 767 citations

    11

    h-index

  2. ET
    Etienne Thévenot

    Commissariat à l'Énergie Atomique et aux Énergies Alternatives, France

    9 publications · 859 citations

    9

    h-index

  3. RM
    Reza M. Salek

    European Bioinformatics Institute, United Kingdom

    9 publications · 688 citations

    9

    h-index

  4. TH
    Thomas Hankemeier

    Leiden University, Netherlands

    9 publications · 474 citations

    9

    h-index

  5. KH
    Kenneth Haug

    European Bioinformatics Institute, United Kingdom

    8 publications · 1.2K citations

    8

    h-index

1–5 of 2K

Venues

  1. Bioinformatics

    28 publications · 2.8K citations

    22

    h-index

  2. Metabolites

    13 publications · 1.4K citations

    13

    h-index

  3. Analytical Chemistry

    12 publications · 808 citations

    12

    h-index

  4. BMC Bioinformatics

    13 publications · 971 citations

    11

    h-index

  5. Metabolomics

    11 publications · 802 citations

    10

    h-index

1–5