LabCompass

Vicki H. Wysocki

Chemistry · The Ohio State University

Established · publishing since 1985

Publications

458

Citations

17,990

Est. group size

~38

Recurring co-author estimate

Active years

42

Publishing since 1985

Research summary
AI-generated

Vicki H. Wysocki develops and applies mass spectrometry techniques, especially native mass spectrometry and ion mobility, to study the structure and organization of protein complexes without disrupting their natural shapes. Her work focuses on methods like surface-induced dissociation, electron capture dissociation, and capillary electrophoresis to reveal how multi-protein assemblies are built and how their subunits interact, with applications ranging from DNA-repair proteins to viral capsids and lipid-binding membrane proteins. This research supports structural biology by providing complementary data to techniques like cryo-EM and computational modeling (e.g., AlphaFold, Rosetta).

Native mass spectrometryProtein complex structure and topologyIon mobility and surface-induced dissociationStructural proteomics methods developmentBiomolecular interactions (protein-DNA, protein-lipid, protein-ligand)

Publication output has fluctuated over the last decade with a peak in 2024, following a generally steady-to-growing pattern before a decline in the most recent two years (2025-2026), though this may partly reflect incomplete recent-year data.

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

Publication cadence
Publications per year over the last 10 years — averaging 22.6/year recently
2017: 24 publications172018: 20 publications182019: 28 publications192020: 34 publications202021: 35 publications212022: 28 publications222023: 20 publications232024: 37 publications37242025: 18 publications252026: 10 publications26
Recent publications
Publishes in
  • ChemRxiv×39
  • bioRxiv (Cold Spring Harbor Laboratory)×26
  • Journal of the American Society for Mass Spectrometry×21
  • Analytical Chemistry×18
  • Figshare×13
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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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