LabCompass

Brian C. Searle

Chemistry · The Ohio State University

OpenAlex ORCID
Mid career · publishing since 2001Rising activity
Advanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and ApplicationsMetabolomics and Mass Spectrometry StudiesMachine Learning in BioinformaticsGenomics and Phylogenetic Studies

Publications

120

Citations

5,206

Est. group size

~3

Recurring co-author estimate

Active years

26

Publishing since 2001

Research summary
AI-generated

Brian C. Searle's research centers on proteomics, the large-scale study of proteins using mass spectrometry, with particular focus on developing and improving data-independent acquisition (DIA) methods and software tools for analyzing complex protein datasets. His work spans applications from clinical biomarker discovery (e.g., in pediatric pancreatitis and Smith-Lemli-Opitz Syndrome) to environmental and microbial community proteomics (metaproteomics), often involving multi-laboratory comparisons and new instrumentation techniques. Students in this area would engage with mass spectrometry technology, software development for data analysis, and applied biological or clinical proteomics projects.

Mass spectrometry-based proteomicsData-independent acquisition (DIA) methodsMetaproteomics and microbiome analysisProteomics software and bioinformatics toolsClinical and disease biomarker discovery

Publication output has grown over the last decade, rising from a handful of papers annually before 2020 to a sustained higher rate of 14-17 publications per year in 2023-2025.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 11.8/year recently
2017: 2 publications172018: 9 publications182019: 8 publications192020: 11 publications202021: 4 publications212022: 8 publications222023: 17 publications17232024: 14 publications242025: 17 publications17252026: 3 publications26
Recent publications
Publishes in
  • bioRxiv (Cold Spring Harbor Laboratory)×23
  • Journal of Proteome Research×15
  • PROTEOMICS×6
  • Nature Communications×4
  • Molecular & Cellular Proteomics×4
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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 19, 2026.

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