Match tier
Listed
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-08-08
S
Research Areas
Biomedical Subjects
Biography and Research Information
OverviewAI-generated summary
Saja Alshafeay's research focuses on the interaction between engineered materials and biological systems, particularly concerning cell behavior and tissue engineering. Her work has investigated the use of liquid crystalline collagen assemblies as substrates to direct the alignment and spread of human Schwann cells. This research explores how the structural properties of collagen matrices can influence cellular morphology and function, with potential applications in regenerative medicine and neuroscience.
Alshafeay also contributes to computational biology, developing models to understand complex biological interactions. One area of her work involves computational modeling of tumor interactions with bone-resident cells, aiming to predict how tumors respond to various cellular and environmental perturbations. This approach utilizes computational methods to gain insights into disease mechanisms, particularly in the context of tumor-induced bone disease. Her collaborators at the University of Arkansas at Fayetteville include Leonard A. Harris, Alexandra Gutierrez Vega, Karthik Nayani, and Homa Ghaiedi.
Metrics
- h-index: 1
- Publications: 4
- Citations: 3
Selected Publications
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A Computational Model of Tumor Interactions with Bone-Resident Cells Predicts Tumor-Type-Specific Responses to Perturbations (2026)
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Liquid crystalline collagen assemblies as substrates for directed alignment of human Schwann cells (2024)
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#52. Computational modeling of signaling pathways and cell-cell interactions driving tumor-induced bone disease (2024)
Collaboration Network
Top Collaborators
Alexandra Gutierrez Vega
University of Arkansas at Fayetteville
2 shared publications
In database
- #52. Computational modeling of signaling pathways and cell-cell interactions driving tumor-induced bone disease
- A Computational Model of Tumor Interactions with Bone-Resident Cells Predicts Tumor-Type-Specific Responses to Perturbations
Natalie E. Bennett
Vanderbilt University (US)
2 shared publications
- #52. Computational modeling of signaling pathways and cell-cell interactions driving tumor-induced bone disease
- A Computational Model of Tumor Interactions with Bone-Resident Cells Predicts Tumor-Type-Specific Responses to Perturbations
Erik Beadle
VA Tennessee Valley Healthcare System (US)
2 shared publications
- #52. Computational modeling of signaling pathways and cell-cell interactions driving tumor-induced bone disease
- A Computational Model of Tumor Interactions with Bone-Resident Cells Predicts Tumor-Type-Specific Responses to Perturbations
Julie A. Sterling
Vanderbilt University (US)
2 shared publications
- #52. Computational modeling of signaling pathways and cell-cell interactions driving tumor-induced bone disease
- A Computational Model of Tumor Interactions with Bone-Resident Cells Predicts Tumor-Type-Specific Responses to Perturbations
Leonard A. Harris
University of Arkansas at Fayetteville
2 shared publications
In database
- Liquid crystalline collagen assemblies as substrates for directed alignment of human Schwann cells
- #52. Computational modeling of signaling pathways and cell-cell interactions driving tumor-induced bone disease
Homa Ghaiedi
University of Arkansas at Fayetteville
1 shared publication
In database
- Liquid crystalline collagen assemblies as substrates for directed alignment of human Schwann cells
Luis Carlos Pinzon Herrera
University of Maryland, Baltimore County (US)
1 shared publication
- Liquid crystalline collagen assemblies as substrates for directed alignment of human Schwann cells
Jorge Almodóvar
University of Maryland, Baltimore County (US)
1 shared publication
- Liquid crystalline collagen assemblies as substrates for directed alignment of human Schwann cells
Karthik Nayani
University of Arkansas at Fayetteville
1 shared publication
In database
- Liquid crystalline collagen assemblies as substrates for directed alignment of human Schwann cells
Ramcharan Chitturi
University of Arkansas at Fayetteville
1 shared publication
In database
- A Computational Model of Tumor Interactions with Bone-Resident Cells Predicts Tumor-Type-Specific Responses to Perturbations
Anishka Nagarimadugu
University of Arkansas at Fayetteville
1 shared publication
In database
- A Computational Model of Tumor Interactions with Bone-Resident Cells Predicts Tumor-Type-Specific Responses to Perturbations
Hrishikesh Villur
University of Arkansas at Fayetteville
1 shared publication
In database
- A Computational Model of Tumor Interactions with Bone-Resident Cells Predicts Tumor-Type-Specific Responses to Perturbations
Arsh Jaiswal
University of Arkansas at Fayetteville
1 shared publication
In database
- A Computational Model of Tumor Interactions with Bone-Resident Cells Predicts Tumor-Type-Specific Responses to Perturbations
L. Lynn Harris
Winthrop Rockefeller Foundation
1 shared publication
In database
- A Computational Model of Tumor Interactions with Bone-Resident Cells Predicts Tumor-Type-Specific Responses to Perturbations
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