Donald S. Burke
- Infectious Diseases top 0.02%
- Public Health, Environmental and Occupational Health top 0.05%
- Epidemiology top 0.1%
- Virology top 0.05%
- Modeling and Simulation top 0.02%
- Co-authors
- Derek A. T. CummingsAnanda NisalakNeil M. FergusonChristophe FraserPhilip C. CooleyJean K. CarrJames CajkaF. E. McCutchan
- Topics
- HIV Research and Treatment (86 papers)Mosquito-borne diseases and control (49 papers)COVID-19 epidemiological studies (45 papers)
- 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
- Infectious Diseases 10.9k
- Public Health, Environmental and Occupational Health 8.1k
- Epidemiology 6.4k
- Virology 5.0k
- Modeling and Simulation 4.7k
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 of co-authors of Donald S. Burke
This figure shows the co-authorship network connecting the top 25 collaborators of Donald S. Burke. A scholar is included among the top collaborators of Donald S. Burke based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Donald S. Burke. Donald S. Burke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 21 | |
| 4 | 37 | |
| 5 | Megaesophagus and Pneumonia Associated with Mycobacterium chelonei | 1 |
| 6 | A systematic review of barriers to data sharing in public healthbreakdown → | 337 |
| 7 | 10 | |
| 8 | 1 | |
| 9 | 110 | |
| 10 | 26 | |
| 11 | 102 | |
| 12 | 93 | |
| 13 | 5 | |
| 14 | 25 | |
| 15 | 21 | |
| 16 | 7 | |
| 17 | 12 | |
| 18 | 2 | |
| 19 | 6 | |
| 20 | Improved surveillance of Japanese encephalitis by detection of virus-specific IgM in desiccated blood specimens. | 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) and COVID-19 epidemiological studies (45 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.