LabCompass

Publications

43

Citations

1,054

Est. group size

Recurring co-author estimate

Active years

30

Publishing since 1997

Research summary
AI-generated

Sima Setayeshgar studies biological systems using mathematical and physical modeling, focusing on how molecules, proteins, and cells organize and behave over time. Recent work includes building minimal models of how cells regulate stages of division (such as meiotic exit in yeast) and analyzing how proteins assemble into larger structures. The research bridges biology, physics, and quantitative modeling.

Mathematical modeling of cell regulationProtein assembly and aggregation dynamicsGene regulatory networksBacterial motility and signalingNonlinear dynamics and pattern formation

Publication activity was steady in the late 2010s, dipped to near zero around 2021-2023, and rose again in 2024-2025.

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

Publication cadence
Publications per year over the last 10 years — averaging 1.4/year recently
2017: 3 publications172018: 3 publications182019: 1 publication192020: 1 publication202122232024: 1 publication242025: 5 publications5252026: 1 publication26
Recent publications
Publishes in
  • Bulletin of the American Physical Society×3
  • bioRxiv (Cold Spring Harbor Laboratory)×3
  • Biophysical Journal×1
  • mBio×1
  • Journal of Bacteriology×1

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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