Author

T. L. Stepien

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Cancer Biology· 2 Ecology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 2 Approach:statistical model· 2 Research Focus:cell signaling & trafficking· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

Y. Kuang· 2 shared D. C. Harris· 1 shared E. M. Rutter· 1 shared G. P. Takacs· 1 shared H. G. Anderson· 1 shared J. K. Harrison· 1 shared S. L. Gladson· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 11 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersCancer Biology

Y. Kuang

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Global stability and parameter analysis reinforce therapeutic targets of PD-L1-PD-1 and MDSCs for glioblastoma

H. G. Anderson, G. P. Takacs, D. C. Harris, Y. Kuang, J. K. Harrison, T. L. Stepien

This paper develops a tumor-immune model for glioblastoma, identifies key parameters for treatment, and suggests combining immune checkpoint inhibitors with MDSC-targeting therapies.

bioRxiv · May 15, 2023Cancer Biology

An ABM of biting midge dynamics to understand Bluetongue outbreaks

S. L. Gladson, T. L. Stepien

The paper develops an agent-based model to simulate biting midge dynamics and assess their role in Bluetongue outbreaks, identifying key factors like midge survival and temperature that influence outbreak likelihood and severity.

bioRxiv · Sep 26, 2022 · PreprintEcology

A nondegenerate convective-reaction-density-dependent diffusion model of in vitro glioblastoma tumor growth

T. L. Stepien, E. M. Rutter, Y. Kuang

The paper develops a mathematical model for in vitro glioblastoma growth using density-dependent diffusion and validates it against experimental data.

bioRxiv · Mar 12, 2020 · PreprintCancer Biology