LabCompass

Sujun Li

Chemistry · Indiana University

OpenAlex ORCID
Advanced Proteomics Techniques and ApplicationsMetabolomics and Mass Spectrometry StudiesMass Spectrometry Techniques and ApplicationsGenomics and Phylogenetic StudiesMachine Learning in Bioinformatics

Publications

55

Citations

998

Est. group size

—

Recurring co-author estimate

Active years

25

Publishing since 2001

Research summary
AI-generated

Sujun Li develops computational and machine-learning methods for analyzing mass spectrometry data, which is a technique for identifying molecules by measuring their mass. Much of this work focuses on predicting chemical structures, peptides (protein fragments), and metabolite profiles from complex biological samples, often using deep neural networks. The work bridges chemistry, bioinformatics, and biomedical applications such as biomarker discovery.

Mass spectrometry data analysisDeep learning for chemical and peptide identificationProteomics and metabolomicsMetabolomic biomarker discoveryMicrobial community (meta-omics) analysis

Publication activity has been fairly steady over the last decade, dipping around 2021-2022 and returning to about six papers per year in 2023-2024.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 3.4/year recently
2017: 4 publications172018: 5 publications182019: 5 publications192020: 6 publications6202021: 2 publications212022: 2 publications222023: 6 publications6232024: 6 publications6242025: 3 publications2526
Recent publications
Publishes in
  • bioRxiv (Cold Spring Harbor Laboratory)×5
  • Journal of Proteome Research×4
  • Nature Communications×3
  • Gene Therapy×2
  • Bioinformatics×2

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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