LabCompass

John Metzcar

Mathematics · Indiana University

OpenAlex ORCID
Mathematical Biology Tumor GrowthCancer Cells and MetastasisCellular Mechanics and InteractionsGene Regulatory Network AnalysisScientific Computing and Data Management

Publications

25

Citations

695

Est. group size

—

Recurring co-author estimate

Active years

7

Publishing since 2019

Research summary
AI-generated

John Metzcar develops mathematical and computational models to study how cancer grows and spreads, with particular attention to the extracellular matrix (the structural material surrounding cells) and how it influences cell migration and tumor invasion. The work also includes combining mechanistic models with machine learning in cancer biology, and applying computational methods to medical problems such as detecting disease from electrocardiograms.

Mathematical modeling of tumor growthExtracellular matrix and cell migrationComputational cancer biology (mathematical oncology)Machine learning combined with mechanistic modelsEndocrine and neuroendocrine tumors

Publication activity has been growing over the last several years, reaching its highest recorded count in 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 3.2/year recently
17182019: 1 publication192020: 2 publications202021: 6 publications212022: 1 publication222023: 3 publications232024: 4 publications242025: 8 publications82526
Recent publications
Publishes in
  • bioRxiv (Cold Spring Harbor Laboratory)×6
  • arXiv (Cornell University)×4
  • Preprints.org×2
  • JCO Clinical Cancer Informatics×1
  • Frontiers in Cell and Developmental Biology×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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