Saumil Doshi
Impact in
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- Influenza Virus Research Studies
- Respiratory viral infections research
- Pneumonia and Respiratory Infections
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- COVID-19 epidemiological studies
Papers in
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- Influenza Virus Research Studies 5
- Respiratory viral infections research 4
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- Antifungal resistance and susceptibility 3
- Antimicrobial Resistance in Staphylococcus 2
- Co-authors
- Alicia M. Fry (4 shared papers)Laurie Kamimoto (2 shared papers)Kirsten St. George (1 shared paper)Meredith Vandermeer (1 shared paper)Samuel B. Graitcer (1 shared paper)Janice K. Louie (1 shared paper)Alexander Klimov (1 shared paper)Jennifer Laplante (1 shared paper)
- Journals
- Clinical Infectious Diseases (1 paper)Infection Control and Hospital Epidemiology (1 paper)Influenza and Other Respiratory Viruses (1 paper)PM&R (1 paper)Public Health Reports (1 paper)
- Partner nations
- United StatesMongoliaUganda
In The Last Decade
Saumil Doshi
12 papers receiving 160 citations
Peers
Comparison fields: 5 of 55
- Epidemiology 129
- Modeling and Simulation 15
- Infectious Diseases 57
- Health 5
- Endocrine and Autonomic Systems 4
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 | 62 | |
| 2 | 2011 | 31 | |
| 3 | 2010 | 14 | |
| 4 | 2015 | 14 | |
| 5 | 2015 | 12 | |
| 6 | 2017 | 6 | |
| 7 | 2014 | 6 | |
| 8 | 2012 | 5 | |
| 9 | 2022 | 4 | |
| 10 | 2012 | 4 | |
| 11 | 2024 | 4 | |
| 12 | 2016 | 3 |
About Saumil Doshi
Saumil Doshi is a scholar working on Epidemiology, Infectious Diseases, Modeling and Simulation, Surgery and Pharmacology, having authored 12 papers that have together received 165 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (5 papers), Respiratory viral infections research (4 papers), Antifungal resistance and susceptibility (3 papers), COVID-19 epidemiological studies (3 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Long-Term Effects of COVID-19 (1 paper), Pharmacological Effects and Toxicity Studies (1 paper) and Pituitary Gland Disorders and Treatments (1 paper). The work is most often cited by research in Epidemiology (129 citations), Modeling and Simulation (15 citations), Infectious Diseases (57 citations), Health (5 citations) and Endocrine and Autonomic Systems (4 citations). Saumil Doshi has collaborated with scholars based in United States, Mongolia and Uganda. Frequent co-authors include Alicia M. Fry, Laurie Kamimoto, Kirsten St. George, Meredith Vandermeer, Samuel B. Graitcer, Janice K. Louie, Alexander Klimov, Jennifer Laplante, Larisa V. Gubareva and Zack Moore. Their work appears in journals such as Clinical Infectious Diseases, Infection Control and Hospital Epidemiology, Influenza and Other Respiratory Viruses, PM&R and Public Health Reports.
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.