Paul Macklin
Mathematics · Indiana University
Publications
183
Citations
6,681
Est. group size
~2
Recurring co-author estimate
Active years
24
Publishing since 2003
Paul Macklin works in mathematical biology, building computer simulations that model how cancer and other cells behave and interact over time. His research combines agent-based modeling (where each cell is simulated as an individual actor), metabolic modeling, and imaging data to study tumor growth, the tumor microenvironment, and potential therapies. Much of this work aims toward 'digital twins' and predictive tools for personalized cancer care.
Publication activity peaked around 2020-2021 (roughly 20 per year), dipped in 2022-2023, and has picked up again in 2024-2025, averaging about 7.8 per year over the last five years.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- Spatial Structure Shapes Microbiome Competition and Coexistence:An Agent-Based Modeling Approach
SSRN Electronic Journal · 2026
- Merging metabolic modeling and imaging for screening therapeutic targets in colorectal cancer
npj Systems Biology and Applications · 2025
- Abstract A028: Automated Rule Synthesis from Literature for Agent-Based Modeling of the Tumor Microenvironment
Clinical Cancer Research · 2025
- Abstract A027: Multiscale systems approach to target tumor ecosystem responses for therapeutic benefit
Clinical Cancer Research · 2025
- Abstract A025: Genomics-informed agent-based models drive new understanding of the role of neoplastic phenotype transitions in human PDAC invasion
Cancer Research · 2025
- Open Benchmarking for Cell-Based Multiscale Models: Lessons from a Community Initiative
bioRxiv (Cold Spring Harbor Laboratory) · 2025
- PhysiBoSS-Models: A database for multiscale models
2025
- Improving academic mentorship practices
Nature Human Behaviour · 2024
- Merging Metabolic Modeling and Imaging for Screening Therapeutic Targets in Colorectal Cancer
bioRxiv (Cold Spring Harbor Laboratory) · 2024
- Building multiscale models with PhysiBoSS, an agent-based modeling tool
Briefings in Bioinformatics · 2024
- Agent-based computational modeling of glioblastoma predicts that stromal density is central to oncolytic virus efficacy
iScience · 2022
- OpenACC Acceleration of an Agent-Based Biological Simulation Framework
Computing in Science & Engineering · 2022
- Forecasting cancer: from precision to predictive medicine
Med · 2021
- Digital twins for predictive oncology will be a paradigm shift for precision cancer care
Nature Medicine · 2021
- Impact of tumor-parenchyma biomechanics on liver metastatic progression: a multi-model approach
Scientific Reports · 2021
- bioRxiv (Cold Spring Harbor Laboratory)×30
- Figshare×22
- Zenodo (CERN European Organization for Nuclear Research)×12
- INDIGO (University of Illinois at Chicago)×6
- HubZero×4
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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