Donald S. Burke
- Virology top 0.05%
- HIV Research and Treatment 86
- Modeling and Simulation top 0.02%
- COVID-19 epidemiological studies 45
- Infectious Diseases top 0.02%
- HIV/AIDS Research and Interventions 35
- Viral Infections and Vectors 32
- HIV/AIDS drug development and treatment 31
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- Mosquito-borne diseases and control 49
- Epidemiology top 0.1%
- Influenza Virus Research Studies 31
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- Animal Disease Management and Epidemiology 31
- Co-authors
- Derek A. T. CummingsAnanda NisalakNeil M. FergusonChristophe FraserPhilip C. CooleyJean K. CarrJames CajkaF. E. McCutchan
- Partner nations
- United StatesThailandUnited Kingdom
In The Last Decade
Donald S. Burke
283 papers receiving 24.1k citations
Hit Papers
Peers
Comparison fields: 5 of 218
- Virology 5.0k
- Modeling and Simulation 4.7k
- Infectious Diseases 10.9k
- Public Health, Environmental and Occupational Health 8.1k
- Epidemiology 6.4k
Countries citing papers authored by Donald S. Burke
This map shows the geographic impact of Donald S. Burke'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 Donald S. Burke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donald S. Burke more than expected).
Fields of papers citing papers by Donald S. Burke
This network shows the impact of papers produced by Donald S. Burke. 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 Donald S. Burke. The network helps show where Donald S. Burke may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Donald S. Burke, 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 | 2024 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2021 | 21 | |
| 4 | 2017 | 37 | |
| 5 | Megaesophagus and Pneumonia Associated with Mycobacterium chelonei | 2015 | 1 |
| 6 | A systematic review of barriers to data sharing in public healthbreakdown → | 2014 | 337 |
| 7 | 2012 | 10 | |
| 8 | 2007 | 1 | |
| 9 | 2004 | 110 | |
| 10 | 2004 | 26 | |
| 11 | 2003 | 102 | |
| 12 | 1994 | 93 | |
| 13 | 1994 | 5 | |
| 14 | 1993 | 25 | |
| 15 | 1993 | 21 | |
| 16 | 1992 | 7 | |
| 17 | 1992 | 12 | |
| 18 | 1992 | 2 | |
| 19 | 1992 | 6 | |
| 20 | Improved surveillance of Japanese encephalitis by detection of virus-specific IgM in desiccated blood specimens. | 1985 | 15 |
About Donald S. Burke
Donald S. Burke is a scholar working on Virology, Modeling and Simulation and Infectious Diseases, having authored 293 papers that have together received 25.4k indexed citations. Recurring topics across this work include HIV Research and Treatment (86 papers), Mosquito-borne diseases and control (49 papers), COVID-19 epidemiological studies (45 papers), HIV/AIDS Research and Interventions (35 papers), Viral Infections and Vectors (32 papers), Influenza Virus Research Studies (31 papers), HIV/AIDS drug development and treatment (31 papers) and Animal Disease Management and Epidemiology (31 papers). The work is most often cited by research in Virology (5.0k citations), Modeling and Simulation (4.7k citations) and Infectious Diseases (10.9k citations). Donald S. Burke has collaborated with scholars based in United States, Thailand and United Kingdom. Frequent co-authors include Derek A. T. Cummings, Ananda Nisalak, Neil M. Ferguson, Christophe Fraser, Philip C. Cooley, Jean K. Carr, James Cajka, F. E. McCutchan, Mika Salminen and Nathan Wolfe. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.