Match tier
Confirmed
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-08-15
S
Sam E. Stephens
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
Also affiliated: Quest Integrity (New Zealand) (2025)
Faculty Researcher
6 h-index
25 pubs
82 cited
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Sam E. Stephens' research focuses on the development and testing of medical devices and models, particularly for cardiovascular applications. Recent publications include work on custom wall-less cardiovascular flow phantoms using tissue-mimicking gel, and an in vitro mitral valve model designed for improved ventricular access. Stephens has also investigated in vitro blood clot formation and dissolution for stroke-treatment device testing, and developed a customizable angioplasty balloon-forming machine aimed at precision medicine for coronary bifurcation lesions. Further research includes analyzing arterial and venous pressure waveforms during anesthesia and hemorrhage, and creating patient-based computational models to predict pressure drop in supravalvar aortic stenosis.
Metrics
- h-index: 6
- Publications: 25
- Citations: 82
Selected Publications
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Experimental and computational models for intracardiac flow analysis with blood speckle imaging (2026)
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Development and Characteristics of a Dual-Layered Vascular Phantom (2025)
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The Importance of a Continuously Changing Heart Rate in Venous and Arterial Pressure Analysis (2025)
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Addressing the barriers to peritoneal dialysis—Visual appeal matters (2025)
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Design, fabrication, and evaluation of 3-D–printed cystotomy spoons as a retrieval method in dogs (2023)
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Modeling peripheral arterial and venous pressure signals with integral pulse frequency modulation (2023)
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In Vitro Blood Clot Formation and Dissolution for Testing New Stroke-Treatment Devices (2022)
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Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage (2022)
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Customizable Angioplasty Balloon-Forming Machine: Towards Precision Medicine in Coronary Bifurcation Lesion Interventions (2022)
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Alumina as a Computed Tomography Soft Material and Tissue Fiducial Marker (2022)
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In Vitro Mitral Valve Model with Unrestricted Ventricular Access: Using Vacuum to Close the Valve and Enable Static Trans-Mitral Pressure (2022)
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A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome (2021)
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Development of Custom Wall-Less Cardiovascular Flow Phantoms with Tissue-Mimicking Gel (2021)
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The Sinotubular Junction-to-Aortic Annulus Ratio as a Determinant of Supravalvar Aortic Stenosis Severity* (2021)
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A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome (2021)
Collaboration Network
Top Collaborators
Morten Ø. Jensen
University of Arkansas at Fayetteville
14 shared publications
In database
- Development of Custom Wall-Less Cardiovascular Flow Phantoms with Tissue-Mimicking Gel
- In Vitro Blood Clot Formation and Dissolution for Testing New Stroke-Treatment Devices
- In Vitro Mitral Valve Model with Unrestricted Ventricular Access: Using Vacuum to Close the Valve and Enable Static Trans-Mitral Pressure
- The Sinotubular Junction-to-Aortic Annulus Ratio as a Determinant of Supravalvar Aortic Stenosis Severity*
- Customizable Angioplasty Balloon-Forming Machine: Towards Precision Medicine in Coronary Bifurcation Lesion Interventions
Showing 5 of 14 shared publications
Hanna Jensen
University of Arkansas for Medical Sciences
9 shared publications
In database
- In Vitro Blood Clot Formation and Dissolution for Testing New Stroke-Treatment Devices
- In Vitro Mitral Valve Model with Unrestricted Ventricular Access: Using Vacuum to Close the Valve and Enable Static Trans-Mitral Pressure
- The Sinotubular Junction-to-Aortic Annulus Ratio as a Determinant of Supravalvar Aortic Stenosis Severity*
- Customizable Angioplasty Balloon-Forming Machine: Towards Precision Medicine in Coronary Bifurcation Lesion Interventions
- A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome
Showing 5 of 9 shared publications
Dana B. Gal
Stanford University (US)
3 shared publications
- The Sinotubular Junction-to-Aortic Annulus Ratio as a Determinant of Supravalvar Aortic Stenosis Severity*
- A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome
- A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome
R. Thomas Collins
Stanford University (US)
3 shared publications
- The Sinotubular Junction-to-Aortic Annulus Ratio as a Determinant of Supravalvar Aortic Stenosis Severity*
- A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome
- A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome
Elijah H. Bolin
Arkansas Children's Hospital
3 shared publications
In database
- The Sinotubular Junction-to-Aortic Annulus Ratio as a Determinant of Supravalvar Aortic Stenosis Severity*
- A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome
- A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome
Joshua Daily
Arkansas Children's Hospital
3 shared publications
In database
- The Sinotubular Junction-to-Aortic Annulus Ratio as a Determinant of Supravalvar Aortic Stenosis Severity*
- A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome
- A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome
Paul C. Millett
University of Arkansas at Fayetteville
3 shared publications
In database
- The Sinotubular Junction-to-Aortic Annulus Ratio as a Determinant of Supravalvar Aortic Stenosis Severity*
- A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome
- A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome
Adria Abella Villafranca
University of Arkansas for Medical Sciences
3 shared publications
In database
- Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage
- Modeling peripheral arterial and venous pressure signals with integral pulse frequency modulation
- The Importance of a Continuously Changing Heart Rate in Venous and Arterial Pressure Analysis
Joseph A. Sanford
University of Arkansas for Medical Sciences
3 shared publications
In database
- Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage
- Modeling peripheral arterial and venous pressure signals with integral pulse frequency modulation
- The Importance of a Continuously Changing Heart Rate in Venous and Arterial Pressure Analysis
Jingxian Wu
University of Arkansas at Fayetteville
3 shared publications
In database
- Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage
- Modeling peripheral arterial and venous pressure signals with integral pulse frequency modulation
- The Importance of a Continuously Changing Heart Rate in Venous and Arterial Pressure Analysis
Kevin W. Sexton
University of Arkansas for Medical Sciences
3 shared publications
In database
- Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage
- Modeling peripheral arterial and venous pressure signals with integral pulse frequency modulation
- The Importance of a Continuously Changing Heart Rate in Venous and Arterial Pressure Analysis
Kirstie MacMillen
Lucile Packard Children's Hospital (US)
2 shared publications
- A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome
- A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome
Neil B. Ingels
University of Arkansas at Fayetteville
2 shared publications
In database
- In Vitro Mitral Valve Model with Unrestricted Ventricular Access: Using Vacuum to Close the Valve and Enable Static Trans-Mitral Pressure
- Alumina as a Computed Tomography Soft Material and Tissue Fiducial Marker
Jonathan F. Wenk
University of Kentucky (US)
2 shared publications
- In Vitro Mitral Valve Model with Unrestricted Ventricular Access: Using Vacuum to Close the Valve and Enable Static Trans-Mitral Pressure
- Alumina as a Computed Tomography Soft Material and Tissue Fiducial Marker
Kaitlyn M. Elmer
University of Arkansas at Fayetteville
2 shared publications
In database
- Customizable Angioplasty Balloon-Forming Machine: Towards Precision Medicine in Coronary Bifurcation Lesion Interventions
- Development and Characteristics of a Dual-Layered Vascular Phantom
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