Peter Doshi
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Epidemiology top 2%
- Influenza Virus Research Studies
- Respiratory viral infections research
Papers in
- Epidemiology 28
- Influenza Virus Research Studies 26
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- Health and Medical Research Impacts 8
- Ethics in Clinical Research 8
- Co-authors
- Tom Jefferson (28 shared papers)Mark Jones (21 shared papers)Chris Del Mar (13 shared papers)Carl Heneghan (9 shared papers)Rokuro Hama (7 shared papers)Matthew Thompson (4 shared papers)T. Jefferson (3 shared papers)Igho Onakpoya (5 shared papers)
- Journals
- BMJ (39 papers)JAMA Internal Medicine (6 papers)Cochrane Database of Systematic Reviews (5 papers)BMJ evidence-based medicine (4 papers)Trials (2 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Peter Doshi
89 papers receiving 2.9k citations
Peter Doshi's Hit Papers
Peers
Comparison fields: 5 of 142
- Modeling and Simulation 175
- Epidemiology 1.2k
- Infectious Diseases 515
- Statistics, Probability and Uncertainty 202
- Health 207
Countries citing papers authored by Peter Doshi
This map shows the geographic impact of Peter Doshi'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 Peter Doshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Doshi more than expected).
Fields of papers citing papers by Peter Doshi
This network shows the impact of papers produced by Peter Doshi. 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 Peter Doshi. The network helps show where Peter Doshi may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Doshi, 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 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Neuraminidase inhibitors for preventing and treating influenza in healthy adults and children Hit paper breakdown → | 2012 | 433 |
| 2 | 2014 | 320 | |
| 3 | 2009 | 280 | |
| 4 | 2014 | 251 | |
| 5 | 2006 | 133 | |
| 6 | 2012 | 118 | |
| 7 | 2022 | 115 | |
| 8 | 2013 | 105 | |
| 9 | 2011 | 91 | |
| 10 | 2016 | 78 | |
| 11 | 2020 | 75 | |
| 12 | 2020 | 58 | |
| 13 | 2013 | 57 | |
| 14 | 2008 | 57 | |
| 15 | 2009 | 51 | |
| 16 | 2012 | 41 | |
| 17 | 2010 | 41 | |
| 18 | 2021 | 39 | |
| 19 | 2013 | 38 | |
| 20 | 2014 | 35 |
About Peter Doshi
Peter Doshi is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Pharmacology, Economics and Econometrics and Infectious Diseases, having authored 93 papers that have together received 3.0k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (26 papers), Pharmaceutical industry and healthcare (15 papers), Vaccine Coverage and Hesitancy (12 papers), Meta-analysis and systematic reviews (12 papers), Pharmaceutical Economics and Policy (11 papers), Health and Medical Research Impacts (8 papers), Health Systems, Economic Evaluations, Quality of Life (8 papers) and Ethics in Clinical Research (8 papers). The work is most often cited by research in Modeling and Simulation (175 citations), Epidemiology (1.2k citations), Infectious Diseases (515 citations), Statistics, Probability and Uncertainty (202 citations) and Health (207 citations). Peter Doshi has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Tom Jefferson, Mark Jones, Chris Del Mar, Carl Heneghan, Rokuro Hama, Matthew Thompson, T. Jefferson, Igho Onakpoya, Elizabeth Spencer and Liz Dooley. Their work appears in journals such as BMJ, JAMA Internal Medicine, Cochrane Database of Systematic Reviews, BMJ evidence-based medicine and Trials.
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.