Samuel Rigby
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- COVID-19 Clinical Research Studies 3
- SARS-CoV-2 and COVID-19 Research 3
- SARS-CoV-2 detection and testing 2
-
- Food Security and Health in Diverse Populations 1
- Global Health Care Issues 1
- Healthcare Systems and Challenges 1
- Co-authors
- Madhumita Shrotri (5 shared papers)Nathan Post (5 shared papers)Catherine Huntley (5 shared papers)Sharon J. Peacock (5 shared papers)Sharif Ismail (5 shared papers)Sarah Williams (5 shared papers)Adrian Shields (4 shared papers)Danielle Eddy (4 shared papers)
- Journals
- PLoS ONE (2 papers)Frontiers in Public Health (1 paper)BMJ (1 paper)Influenza and Other Respiratory Viruses (1 paper)Health Policy (1 paper)
- Partner nations
- United KingdomEstoniaUnited States
In The Last Decade
Samuel Rigby
9 papers receiving 593 citations
Samuel Rigby's Hit Papers
Peers
Comparison fields: 5 of 60
- Infectious Diseases 431
- Modeling and Simulation 48
- Obstetrics and Gynecology 33
- Neurology 58
- Health 25
Countries citing papers authored by Samuel Rigby
This map shows the geographic impact of Samuel Rigby's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Samuel Rigby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Rigby more than expected).
Fields of papers citing papers by Samuel Rigby
This network shows the impact of papers produced by Samuel Rigby. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Samuel Rigby. The network helps show where Samuel Rigby may publish in the future.
Co-authors
The 25 scholars most cited alongside Samuel Rigby, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | T cell response to SARS-CoV-2 infection in humans: A systematic review Hit paper breakdown → | 2021 | 258 |
| 2 | 2020 | 234 | |
| 3 | 2020 | 79 | |
| 4 | 2023 | 15 | |
| 5 | 2020 | 5 | |
| 6 | 2020 | 4 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 1 |
About Samuel Rigby
Samuel Rigby is a scholar working on Infectious Diseases, General Health Professions, Oncology, Epidemiology and Neurology, having authored 9 papers that have together received 600 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), SARS-CoV-2 detection and testing (2 papers), Cervical Cancer and HPV Research (2 papers), Food Security and Health in Diverse Populations (1 paper), Global Health Care Issues (1 paper), Long-Term Effects of COVID-19 (1 paper) and Healthcare Systems and Challenges (1 paper). The work is most often cited by research in Infectious Diseases (431 citations), Modeling and Simulation (48 citations), Obstetrics and Gynecology (33 citations), Neurology (58 citations) and Health (25 citations). Samuel Rigby has collaborated with scholars based in United Kingdom, Estonia and United States. Frequent co-authors include Madhumita Shrotri, Nathan Post, Catherine Huntley, Sharon J. Peacock, Sharif Ismail, Sarah Williams, Adrian Shields, Danielle Eddy, David Leeman and May CI van Schalkwyk. Their work appears in journals such as PLoS ONE, Frontiers in Public Health, BMJ, Influenza and Other Respiratory Viruses and Health Policy.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.