Biography and Research Information
OverviewAI-generated summary
Amanda Walls' research interests include studies on perimenopause, focusing on perceptions, opinions on treatment, and potential approaches, with publications in this area anticipated for 2025 and 2024. She also investigates the development of an Innovation Corps-modelled bioengineering course designed to promote entrepreneurial engagement among undergraduate students, with related work presented in 2024. Her previous work includes a study on the prevalence of iatrogenic heart murmurs in cats (2022) and research on pulmonary valve replacement in women with repaired tetralogy of Fallot (2021).
Walls has a scholarly record marked by 8 publications and 22 citations, with an h-index of 3. She has actively collaborated with researchers at the University of Arkansas at Fayetteville, including Ishita Tandon (6 shared publications), Mostafa Elsaadany (4 shared publications), Gustavo Vaca-Diez (2 shared publications), and Alan E. Woessner (2 shared publications). Her most recent publication was in 2024, indicating ongoing activity in her research areas.
Metrics
- h-index: 3
- Publications: 8
- Citations: 24
Selected Publications
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Development of a nasal airway-on-chip co-culture model to study particulate matter exposure (2026)
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Insights into Perimenopause: A Survey of Perceptions, Opinions on Treatment, and Potential Approaches (2025)
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Development of an Innovation Corps-Modelled Bioengineering Course to Promote Entrepreneurial Engagement Among Undergraduate Students (2024)
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A three-dimensional valve-on-chip microphysiological system implicates cell cycle progression, cholesterol metabolism and protein homeostasis in early calcific aortic valve disease progression (2024)
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A nasal airway-on-chip model to evaluate airflow pre-conditioning during epithelial cell maturation at the air-liquid interface (2024)
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Immersive virtual reality-based learning as a supplement for biomedical engineering labs: challenges faced and lessons learned (2024)
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Board 107: Work in Progress: Development of an Innovation Corps-Modeled Bioengineering Course to Promote Entrepreneurial Engagement among Undergraduate Students. (2024)
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Board 17: Work in progress: Immersive Virtual Reality-Based Learning in Biomedical Engineering Labs: Lessons Learned and Recommendations for Efficient Integration (2024)
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A Three-Dimensional Valve-on-Chip Microphysiological System Reveals Novel Biomarkers of Early Calcific Aortic Valve Disease Progression (2023)
Collaboration Network
Top Collaborators
- Immersive virtual reality-based learning as a supplement for biomedical engineering labs: challenges faced and lessons learned
- A three-dimensional valve-on-chip microphysiological system implicates cell cycle progression, cholesterol metabolism and protein homeostasis in early calcific aortic valve disease progression
- A Three-Dimensional Valve-on-Chip Microphysiological System Reveals Novel Biomarkers of Early Calcific Aortic Valve Disease Progression
- Board 17: Work in progress: Immersive Virtual Reality-Based Learning in Biomedical Engineering Labs: Lessons Learned and Recommendations for Efficient Integration
- Board 107: Work in Progress: Development of an Innovation Corps-Modeled Bioengineering Course to Promote Entrepreneurial Engagement among Undergraduate Students.
Showing 5 of 6 shared publications
- Immersive virtual reality-based learning as a supplement for biomedical engineering labs: challenges faced and lessons learned
- Board 17: Work in progress: Immersive Virtual Reality-Based Learning in Biomedical Engineering Labs: Lessons Learned and Recommendations for Efficient Integration
- Board 107: Work in Progress: Development of an Innovation Corps-Modeled Bioengineering Course to Promote Entrepreneurial Engagement among Undergraduate Students.
- Development of an Innovation Corps-Modelled Bioengineering Course to Promote Entrepreneurial Engagement Among Undergraduate Students
- A three-dimensional valve-on-chip microphysiological system implicates cell cycle progression, cholesterol metabolism and protein homeostasis in early calcific aortic valve disease progression
- A Three-Dimensional Valve-on-Chip Microphysiological System Reveals Novel Biomarkers of Early Calcific Aortic Valve Disease Progression
- A three-dimensional valve-on-chip microphysiological system implicates cell cycle progression, cholesterol metabolism and protein homeostasis in early calcific aortic valve disease progression
- A Three-Dimensional Valve-on-Chip Microphysiological System Reveals Novel Biomarkers of Early Calcific Aortic Valve Disease Progression
- A three-dimensional valve-on-chip microphysiological system implicates cell cycle progression, cholesterol metabolism and protein homeostasis in early calcific aortic valve disease progression
- A Three-Dimensional Valve-on-Chip Microphysiological System Reveals Novel Biomarkers of Early Calcific Aortic Valve Disease Progression
- A three-dimensional valve-on-chip microphysiological system implicates cell cycle progression, cholesterol metabolism and protein homeostasis in early calcific aortic valve disease progression
- A Three-Dimensional Valve-on-Chip Microphysiological System Reveals Novel Biomarkers of Early Calcific Aortic Valve Disease Progression
- A three-dimensional valve-on-chip microphysiological system implicates cell cycle progression, cholesterol metabolism and protein homeostasis in early calcific aortic valve disease progression
- A Three-Dimensional Valve-on-Chip Microphysiological System Reveals Novel Biomarkers of Early Calcific Aortic Valve Disease Progression
- A three-dimensional valve-on-chip microphysiological system implicates cell cycle progression, cholesterol metabolism and protein homeostasis in early calcific aortic valve disease progression
- A Three-Dimensional Valve-on-Chip Microphysiological System Reveals Novel Biomarkers of Early Calcific Aortic Valve Disease Progression
- A three-dimensional valve-on-chip microphysiological system implicates cell cycle progression, cholesterol metabolism and protein homeostasis in early calcific aortic valve disease progression
- A Three-Dimensional Valve-on-Chip Microphysiological System Reveals Novel Biomarkers of Early Calcific Aortic Valve Disease Progression
- A three-dimensional valve-on-chip microphysiological system implicates cell cycle progression, cholesterol metabolism and protein homeostasis in early calcific aortic valve disease progression
- A Three-Dimensional Valve-on-Chip Microphysiological System Reveals Novel Biomarkers of Early Calcific Aortic Valve Disease Progression
- A three-dimensional valve-on-chip microphysiological system implicates cell cycle progression, cholesterol metabolism and protein homeostasis in early calcific aortic valve disease progression
- A Three-Dimensional Valve-on-Chip Microphysiological System Reveals Novel Biomarkers of Early Calcific Aortic Valve Disease Progression
- A three-dimensional valve-on-chip microphysiological system implicates cell cycle progression, cholesterol metabolism and protein homeostasis in early calcific aortic valve disease progression
- A Three-Dimensional Valve-on-Chip Microphysiological System Reveals Novel Biomarkers of Early Calcific Aortic Valve Disease Progression
- A three-dimensional valve-on-chip microphysiological system implicates cell cycle progression, cholesterol metabolism and protein homeostasis in early calcific aortic valve disease progression
- A Three-Dimensional Valve-on-Chip Microphysiological System Reveals Novel Biomarkers of Early Calcific Aortic Valve Disease Progression
- A three-dimensional valve-on-chip microphysiological system implicates cell cycle progression, cholesterol metabolism and protein homeostasis in early calcific aortic valve disease progression
- A Three-Dimensional Valve-on-Chip Microphysiological System Reveals Novel Biomarkers of Early Calcific Aortic Valve Disease Progression
- Immersive virtual reality-based learning as a supplement for biomedical engineering labs: challenges faced and lessons learned
- Board 17: Work in progress: Immersive Virtual Reality-Based Learning in Biomedical Engineering Labs: Lessons Learned and Recommendations for Efficient Integration
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