Saumil Doshi
Impact in
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- Influenza Virus Research Studies
- Respiratory viral infections research
- Pneumonia and Respiratory Infections
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- Antifungal resistance and susceptibility
- Viral gastroenteritis research and epidemiology
Papers in
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- Influenza Virus Research Studies 4
- Data-Driven Disease Surveillance 1
- Infective Endocarditis Diagnosis and Management 1
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- COVID-19 epidemiological studies 2
- Co-authors
- Alicia M. Fry (5 shared papers)Laurie Kamimoto (2 shared papers)Benjamin J. Silk (3 shared papers)Pavani K. Ram (2 shared papers)Stephen P. Luby (2 shared papers)Adam L. Cohen (2 shared papers)W. Abdullah Brooks (2 shared papers)Doli Goswami (2 shared papers)
- Journals
- Tropical Medicine & International Health (1 paper)PM&R (1 paper)Clinical Infectious Diseases (1 paper)Influenza and Other Respiratory Viruses (1 paper)BMC Infectious Diseases (1 paper)
- Partner nations
- United StatesUgandaBangladesh
In The Last Decade
Saumil Doshi
13 papers receiving 203 citations
Peers
Comparison fields: 5 of 58
- Epidemiology 120
- Infectious Diseases 43
- Modeling and Simulation 11
- Health, Toxicology and Mutagenesis 15
- Pollution 13
Countries citing papers authored by Saumil Doshi
This map shows the geographic impact of Saumil 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 Saumil Doshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saumil Doshi more than expected).
Fields of papers citing papers by Saumil Doshi
This network shows the impact of papers produced by Saumil 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 Saumil Doshi. The network helps show where Saumil Doshi may publish in the future.
Co-authors
The 25 scholars most cited alongside Saumil 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
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 66 | |
| 2 | 2014 | 39 | |
| 3 | 2011 | 31 | |
| 4 | 2015 | 15 | |
| 5 | 2010 | 14 | |
| 6 | 2015 | 12 | |
| 7 | 2017 | 6 | |
| 8 | 2014 | 6 | |
| 9 | 2024 | 5 | |
| 10 | 2012 | 5 | |
| 11 | 2012 | 5 | |
| 12 | 2022 | 4 | |
| 13 | 2016 | 3 |
About Saumil Doshi
Saumil Doshi is a scholar working on Epidemiology, Modeling and Simulation, Infectious Diseases, Cardiology and Cardiovascular Medicine and Pollution, having authored 13 papers that have together received 211 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (4 papers), COVID-19 epidemiological studies (2 papers), Energy and Environment Impacts (1 paper), Climate Change, Adaptation, Migration (1 paper), Data-Driven Disease Surveillance (1 paper), Antifungal resistance and susceptibility (1 paper), Infective Endocarditis Diagnosis and Management (1 paper) and Cardiac pacing and defibrillation studies (1 paper). The work is most often cited by research in Epidemiology (120 citations), Infectious Diseases (43 citations), Modeling and Simulation (11 citations), Health, Toxicology and Mutagenesis (15 citations) and Pollution (13 citations). Saumil Doshi has collaborated with scholars based in United States, Uganda and Bangladesh. Frequent co-authors include Alicia M. Fry, Laurie Kamimoto, Benjamin J. Silk, Pavani K. Ram, Stephen P. Luby, Adam L. Cohen, W. Abdullah Brooks, Doli Goswami, Jaynal Abedin and Steven A. Marshall. Their work appears in journals such as Tropical Medicine & International Health, PM&R, Clinical Infectious Diseases, Influenza and Other Respiratory Viruses and BMC Infectious Diseases.
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.