LabCompass

Severin T. Schneebeli

Chemistry · Purdue University West Lafayette

OpenAlex ORCID
Established · publishing since 1990
Supramolecular Chemistry and ComplexesCrystallization and Solubility StudiesX-ray Diffraction in CrystallographyMolecular Sensors and Ion DetectionSupramolecular Self-Assembly in Materials

Publications

141

Citations

4,943

Est. group size

~7

Recurring co-author estimate

Active years

37

Publishing since 1990

Research summary
AI-generated

Severin T. Schneebeli's research combines chemistry and computational modeling to study how molecules recognize, assemble, and interact with one another, ranging from synthetic molecular cages and rotaxanes to peptides, proteins, and cell-surface receptors (GPCRs). The work blends organic synthesis, structural biology, and molecular simulation/machine-learning methods to design sensors, nanomedicine components, and tools for studying protein and membrane behavior.

Supramolecular chemistry (molecular cages, rotaxanes, DNA nanostructures)Molecular simulation and coarse-grained/multiscale modelingPeptide and protein self-assemblyGPCR structure, signaling, and drug discoveryMachine learning for molecular and drug design

Publication output has fluctuated over the last decade with periodic peaks (e.g., 2020, 2022, 2025) and a notable dip in 2024, but has remained at a relatively steady average of about 5-6 papers per year overall.

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

Publication cadence
Publications per year over the last 10 years — averaging 5.4/year recently
2017: 6 publications172018: 5 publications182019: 4 publications192020: 9 publications9202021: 6 publications212022: 9 publications9222023: 5 publications232024: 1 publication242025: 9 publications9252026: 3 publications26
Recent publications
Publishes in
  • The Cambridge Structural Database×8
  • Angewandte Chemie International Edition×6
  • Angewandte Chemie×6
  • Journal of Chemical Theory and Computation×5
  • Nature Communications×3
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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 20, 2026.

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