Papers

3

Total Citations

74

H-Index

3

About

Jason Sawyer is a molecular diagnostics researcher whose work spans infectious disease detection in both human and animal health contexts. His research focuses on developing and optimizing nucleic acid amplification techniques for rapid, accessible pathogen identification, with particular emphasis on real-world applicability and simplified workflows. Sawyer gained significant recognition during the COVID-19 pandemic for his contributions to SARS-CoV-2 diagnostics. His pioneering work on optimizing saliva-based RT-LAMP detection methods — eliminating the need for complex RNA extraction — garnered over 44 citations and represented an important step toward faster, more accessible testing during a global health crisis. The approach offered a streamlined alternative to conventional PCR-based testing at a critical moment in public health. Beyond pandemic research, Sawyer has made meaningful contributions to veterinary diagnostics, notably developing a real-time PCR assay measuring gamma interferon mRNA in European badgers to detect bovine tuberculosis — a significant challenge in wildlife disease surveillance. This work, cited 23 times, demonstrated his versatility across human and animal health applications. With a career bridging molecular biology, public health, and veterinary science, Sawyer's contributions reflect a consistent commitment to translating laboratory innovation into practical diagnostic tools with genuine epidemiological impact.

Research Focus

Key Achievements

3
H-Index
3
Papers
74
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
Preliminary optimisation of a simplified sample preparation method to permit direct detection of SARS-CoV-2 within saliva samples using reverse-transcription loop-mediated isothermal amplification (RT-LAMP)
44 citations · 2020
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 33
🏛 Institutions: Animal and Plant Health Agency, Office of Technology Transfer

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago