Publications
25
Citations
45
Est. group size
~2
Recurring co-author estimate
Active years
12
Publishing since 2015
Alexa Petrucciani builds computer simulations, called agent-based models, to study how immune cells and signaling molecules (cytokines) interact during muscle injury repair and during tuberculosis infection. This work uses computational modeling to predict outcomes like bacterial growth or muscle regeneration under different biological conditions, often tested against laboratory data. The research combines infectious disease biology and tissue repair biology using shared simulation methods.
Publication output was minimal or absent before 2022, then rose sharply with a peak in 2023-2024, followed by fewer outputs in 2025-2026.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Injury-specific muscle regeneration: a computational blueprint for cellular and cytokine drivers
Journal of The Royal Society Interface · 2026
- Timing matters in macrophage/CD4+ T cell interactions: an agent-based model comparing <i>Mycobacterium tuberculosis</i> host-pathogen interactions between latently infected and naïve individuals
mSystems · 2025
- In silico agent-based modeling approach to characterize multiple in vitro tuberculosis infection models
PLoS ONE · 2024
- Agent-based model predicts that layered structure and 3D movement work synergistically to reduce bacterial load in 3D in vitro models of tuberculosis granuloma
PLoS Computational Biology · 2024
- Agent-based model demonstrates the impact of nonlinear, complex interactions between cytokines on muscle regeneration
eLife · 2024
- Agent-based model demonstrates the impact of nonlinear, complex interactions between cytokines on muscle regeneration
eLife · 2024
- Agent-based model demonstrates the impact of nonlinear, complex interactions between cytokines on muscle regeneration
eLife · 2024
- Injury-Specific Muscle Regeneration: A Computational Blueprint for Cellular and Cytokine Drivers
bioRxiv (Cold Spring Harbor Laboratory) · 2024
- Reviewer #2 (Public Review): Agent-based model demonstrates the impact of nonlinear, complex interactions between cytokines on muscle regeneration
2024
- Reviewer #1 (Public Review): Agent-based model demonstrates the impact of nonlinear, complex interactions between cytokines on muscle regeneration
2024
- Author response: Agent-based model demonstrates the impact of nonlinear, complex interactions between cytokines on muscle regeneration
2024
- Agent-based model demonstrates the impact of nonlinear, complex interactions between cytokines on muscle regeneration
eLife · 2024
- Author response: Agent-based model demonstrates the impact of nonlinear, complex interactions between cytokines on muscle regeneration
2024
- Timing matters in Macrophage / CD4+ T cell interactions: An agent-based model comparing <i>Mycobacterium tuberculosis</i> host-pathogen interactions between latently infected and naïve individuals
bioRxiv (Cold Spring Harbor Laboratory) · 2024
- Agent-based model predicts that layered structure and 3D movement work synergistically to reduce bacterial load in 3D in vitro models of tuberculosis granuloma
bioRxiv (Cold Spring Harbor Laboratory) · 2023
- bioRxiv (Cold Spring Harbor Laboratory)×6
- eLife×4
- Zenodo (CERN European Organization for Nuclear Research)×4
- PLoS ONE×2
- PLoS Computational Biology×1
- Elsje Pienaar
Medicine · Purdue University West Lafayette
- Jordi B. Torrelles
Medicine · The Ohio State University
- Alisha Kumar
Medicine · Indiana University
- Bridget Carruthers
Medicine · The Ohio State University
- Richard Robinson
Medicine · The Ohio State University
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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