David Leeman
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- COVID-19 epidemiological studies 3
-
- SARS-CoV-2 and COVID-19 Research 3
- HIV/AIDS Research and Interventions 1
- Co-authors
- Madhumita Shrotri (2 shared papers)Samuel Rigby (2 shared papers)Gayatri Amirthalingam (2 shared papers)Catherine Huntley (2 shared papers)John F. Maher (2 shared papers)Nathan Post (2 shared papers)May CI van Schalkwyk (2 shared papers)William Hywel Bermingham (2 shared papers)
- Journals
- Journal of Viral Hepatitis (3 papers)PLoS ONE (2 papers)Eurosurveillance (1 paper)Catheterization and Cardiovascular Interventions (1 paper)Infection Control and Hospital Epidemiology (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
David Leeman
14 papers receiving 670 citations
David Leeman's Hit Papers
Peers
Comparison fields: 5 of 53
- Infectious Diseases 521
- Modeling and Simulation 45
- Hepatology 15
- Surgery 68
- Biological Psychiatry 2
Countries citing papers authored by David Leeman
This map shows the geographic impact of David Leeman'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 David Leeman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Leeman more than expected).
Fields of papers citing papers by David Leeman
This network shows the impact of papers produced by David Leeman. 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 David Leeman. The network helps show where David Leeman may publish in the future.
Co-authors
The 25 scholars most cited alongside David Leeman, 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 | 298 |
| 2 | 2020 | 272 | |
| 3 | 1999 | 32 | |
| 4 | 2001 | 24 | |
| 5 | 1999 | 17 | |
| 6 | 2021 | 16 | |
| 7 | 2023 | 10 | |
| 8 | 2022 | 5 | |
| 9 | 2021 | 4 | |
| 10 | 2022 | 3 | |
| 11 | 1987 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2025 | 1 |
About David Leeman
David Leeman is a scholar working on Modeling and Simulation, Infectious Diseases, Hepatology, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 14 papers that have together received 686 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (3 papers), COVID-19 epidemiological studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Coronary Interventions and Diagnostics (3 papers), Hepatitis Viruses Studies and Epidemiology (2 papers), HIV/AIDS Research and Interventions (1 paper), Hepatitis C virus research (1 paper) and Cardiac Valve Diseases and Treatments (1 paper). The work is most often cited by research in Infectious Diseases (521 citations), Modeling and Simulation (45 citations), Hepatology (15 citations), Surgery (68 citations) and Biological Psychiatry (2 citations). David Leeman has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Madhumita Shrotri, Samuel Rigby, Gayatri Amirthalingam, Catherine Huntley, John F. Maher, Nathan Post, May CI van Schalkwyk, William Hywel Bermingham, Danielle Eddy and Adrian Matthew Shields. Their work appears in journals such as Journal of Viral Hepatitis, PLoS ONE, Eurosurveillance, Catheterization and Cardiovascular Interventions and Infection Control and Hospital Epidemiology.
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.