David Bonsall
Impact in
- Modeling and Simulation top 0.2%
- COVID-19 epidemiological studies
- Virology top 2%
- HIV Research and Treatment
Papers in
- Hepatology 12
- Hepatitis C virus research 10
- Virology 8
- HIV Research and Treatment 8
- Co-authors
- Christophe Fraser (11 shared papers)Lucie Abeler- Dörner (7 shared papers)Michael James Parker (2 shared papers)Chris Wymant (6 shared papers)Luca Ferretti (4 shared papers)Michelle L. Kendall (4 shared papers)Anel Nurtay (2 shared papers)Lele Zhao (2 shared papers)
- Journals
- Hepatology (3 papers)Nature Communications (3 papers)Retrovirology (2 papers)Emerging infectious diseases (2 papers)Journal of Antimicrobial Chemotherapy (2 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
David Bonsall
34 papers receiving 2.9k citations
David Bonsall's Hit Papers
Peers
Comparison fields: 5 of 138
- Modeling and Simulation 987
- Virology 229
- Infectious Diseases 722
- Information Systems 966
- Hepatology 224
Countries citing papers authored by David Bonsall
This map shows the geographic impact of David Bonsall'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 Bonsall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Bonsall more than expected).
Fields of papers citing papers by David Bonsall
This network shows the impact of papers produced by David Bonsall. 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 Bonsall. The network helps show where David Bonsall may publish in the future.
Co-authors
The 25 scholars most cited alongside David Bonsall, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing Hit paper breakdown → | 2020 | 1677 |
| 2 | The epidemiological impact of the NHS COVID-19 app Hit paper breakdown → | 2021 | 181 |
| 3 | 2020 | 166 | |
| 4 | 2008 | 138 | |
| 5 | 2017 | 90 | |
| 6 | 2019 | 77 | |
| 7 | 2021 | 67 | |
| 8 | 2020 | 65 | |
| 9 | 2021 | 65 | |
| 10 | 2018 | 58 | |
| 11 | 2010 | 58 | |
| 12 | 2015 | 40 | |
| 13 | 2016 | 40 | |
| 14 | 2016 | 30 | |
| 15 | 2018 | 30 | |
| 16 | 2015 | 29 | |
| 17 | 2024 | 24 | |
| 18 | 2020 | 19 | |
| 19 | 2013 | 17 | |
| 20 | 2020 | 16 |
About David Bonsall
David Bonsall is a scholar working on Hepatology, Virology, Infectious Diseases, Epidemiology and Modeling and Simulation, having authored 37 papers that have together received 3.0k indexed citations. Recurring topics across this work include Hepatitis C virus research (10 papers), Hepatitis B Virus Studies (9 papers), HIV Research and Treatment (8 papers), HIV/AIDS drug development and treatment (5 papers), COVID-19 Digital Contact Tracing (5 papers), COVID-19 epidemiological studies (3 papers), Viral Infections and Vectors (3 papers) and Virology and Viral Diseases (3 papers). The work is most often cited by research in Modeling and Simulation (987 citations), Virology (229 citations), Infectious Diseases (722 citations), Information Systems (966 citations) and Hepatology (224 citations). David Bonsall has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Christophe Fraser, Lucie Abeler- Dörner, Michael James Parker, Chris Wymant, Luca Ferretti, Michelle L. Kendall, Anel Nurtay, Lele Zhao, Myra O. McClure and David A. Muir. Their work appears in journals such as Hepatology, Nature Communications, Retrovirology, Emerging infectious diseases and Journal of Antimicrobial Chemotherapy.
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.