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David M. Umulis

Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette

OpenAlex ORCID
Mid career · publishing since 2005
Developmental Biology and Gene RegulationCellular Mechanics and InteractionsTGF-β signaling in diseasesGene Regulatory Network AnalysisCongenital heart defects research

Publications

102

Citations

2,789

Est. group size

~22

Recurring co-author estimate

Active years

22

Publishing since 2005

Research summary
AI-generated

David M. Umulis studies how cells communicate and coordinate during development using computational and mathematical modeling. His work focuses on signaling pathways like BMP (bone morphogenetic protein) and TGF-β, which help cells decide their fate and organize tissues, as well as calcium signaling and cell mechanics. Much of his research combines biology experiments with computer simulations to understand how these signaling systems reliably produce consistent patterns in growing organisms.

BMP/TGF-β signaling pathwaysComputational and systems biology modelingDevelopmental patterning and gene regulationCalcium signaling and mechanobiologyCell mechanics and cytoskeletal dynamics

Publication output has fluctuated over the past decade, dipping to a low in 2024 before rising sharply to a peak of 13 outputs in 2025, with an average of about 6-7 publications per year over the last five years.

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

Publication cadence
Publications per year over the last 10 years — averaging 6.6/year recently
2017: 4 publications172018: 8 publications182019: 11 publications192020: 8 publications202021: 5 publications212022: 6 publications222023: 7 publications232024: 3 publications242025: 13 publications13252026: 4 publications26
Recent publications
Publishes in
  • bioRxiv (Cold Spring Harbor Laboratory)×15
  • Scientific Reports×3
  • eLife×2
  • Biophysical Journal×2
  • Methods in molecular biology×2
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By research-topic overlap
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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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