David Leeman
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 ⓘ
-
- Hepatitis Viruses Studies and Epidemiology 2
- Co-authors
- May CI van Schalkwyk (4 shared papers)Sarah Williams (4 shared papers)John Maher (4 shared papers)William Bermingham (4 shared papers)Gayatri Amirthalingam (4 shared papers)Sharif Ismail (4 shared papers)Nathan Post (4 shared papers)Sharon J. Peacock (4 shared papers)
- Journals
- Journal of Viral Hepatitis (3 papers)PLoS ONE (2 papers)Infection Control and Hospital Epidemiology (1 paper)Catheterization and Cardiovascular Interventions (1 paper)American Heart Journal (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
David Leeman
12 papers receiving 683 citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Infectious Diseases 521
- Modeling and Simulation 81
- Neurology 94
- Health 42
- Obstetrics and Gynecology 32
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 | 255 |
| 2 | 2020 | 230 | |
| 3 | 2020 | 79 | |
| 4 | Incidence and characteristics of preventable iatrogenic cardiac arrests. | 1991 | 39 |
| 5 | 1999 | 26 | |
| 6 | 2001 | 21 | |
| 7 | 1999 | 15 | |
| 8 | 2021 | 14 | |
| 9 | 2020 | 4 | |
| 10 | 2021 | 4 | |
| 11 | 2022 | 4 | |
| 12 | 1987 | 2 | |
| 13 | 2025 | 0 | |
| 14 | 2024 | 0 | |
| 15 | 2025 | 0 |
About David Leeman
David Leeman is a scholar working on Hepatology, Modeling and Simulation, Infectious Diseases, Clinical Psychology and Neurology, having authored 15 papers that have together received 693 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (4 papers), Coronary Interventions and Diagnostics (3 papers), Hepatitis B Virus Studies (3 papers), Long-Term Effects of COVID-19 (2 papers), Acute Myocardial Infarction Research (2 papers), Hepatitis Viruses Studies and Epidemiology (2 papers) and COVID-19 and Mental Health (2 papers). The work is most often cited by research in Infectious Diseases (521 citations), Modeling and Simulation (81 citations), Neurology (94 citations), Health (42 citations) and Obstetrics and Gynecology (32 citations). David Leeman has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include May CI van Schalkwyk, Sarah Williams, John Maher, William Bermingham, Gayatri Amirthalingam, Sharif Ismail, Nathan Post, Sharon J. Peacock, Adrian Shields and Paul Kellam. Their work appears in journals such as Journal of Viral Hepatitis, PLoS ONE, Infection Control and Hospital Epidemiology, Catheterization and Cardiovascular Interventions and American Heart Journal.
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.