Sarah E. Hooper Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Associate Dean for Student Programs and Admissions
Arkansas State University
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Biography and Research Information
OverviewAI-generated summary
Sarah E. Hooper's research investigates the application of advanced analytical and computational methods to diverse biological and educational challenges. Her work includes the development of an LC-MS/MS method for non-invasive biomonitoring of pesticide residues in bat hair and the utilization of machine learning in veterinary medical education. Hooper has also explored the impact of environmental factors on animal health, such as the exposure of bats to specific bacterial volatiles and the relationship between physical activity and cancer in golden retrievers. Additionally, her research extends to assessing animal welfare through biomarkers and introducing AI-generated cases for communication training in veterinary studies.
Hooper has a publication record of 30 items, with an h-index of 8 and 191 total citations. She has collaborated with researchers at Arkansas State University, including Philip J. Johnson, Heidi E. Banse, Wynne A. Digrassie, and Claire Kelly, each on one shared publication. Her recent activity indicates ongoing engagement in scholarly pursuits.
Metrics
- h-index: 8
- Publications: 30
- Citations: 191
Selected Publications
- Owner Social Determinants of Health Associated with Exercise Patterns in Golden Retrievers with and Without Cancer (2026) DOI
- Service-learning experiences can foster veterinary students’ development of competence in the Competency-Based Veterinary Education Model (2026) DOI
- Ultrasonic Extraction-Based Analysis of Persistent Organic Pollutants in Blubber from False Killer Whales (2025) DOI
- An Opportunistic Study to Assess African Green Monkey (Chlorocebus sabaeus aethiops) Welfare Using Novel and Classical Biomarkers (2025) DOI
- Physical activity predictors of cancer in Golden Retrievers: it's about frequency and intensity, not type (2025) DOI
- Introducing AI-generated cases (AI-cases) & standardized clients (AI-SCs) in communication training for veterinary students: perceptions and adoption challenges (2025) DOI
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