Niranjan Bhat
- Virology top 1%
- Infectious Diseases top 2%
- Viral gastroenteritis research and epidemiology 6
- Epidemiology top 2%
- Influenza Virus Research Studies 20
- Respiratory viral infections research 20
- Pneumonia and Respiratory Infections 19
- Health top 5%
- Vaccine Coverage and Hesitancy 5
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies 5
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- Bacterial Infections and Vaccines 8
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- Mosquito-borne diseases and control 4
- Co-authors
- Ruth A. KarronDavid R. MurdochKatherine L. O’BrienAmanda J. DriscollChristian YoderJudith FalloonMichael A. PolisHenry Masur
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Niranjan Bhat
52 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Virology 632
- Infectious Diseases 773
- Epidemiology 1.1k
- Health 203
- Modeling and Simulation 102
Countries citing papers authored by Niranjan Bhat
This map shows the geographic impact of Niranjan Bhat'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 Niranjan Bhat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niranjan Bhat more than expected).
Fields of papers citing papers by Niranjan Bhat
This network shows the impact of papers produced by Niranjan Bhat. 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 Niranjan Bhat. The network helps show where Niranjan Bhat may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Niranjan Bhat, 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 | 2025 | 3 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 10 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 7 | |
| 10 | 2022 | 2 | |
| 11 | 2020 | 65 | |
| 12 | 2019 | 41 | |
| 13 | 2018 | 53 | |
| 14 | 2018 | 18 | |
| 15 | 2018 | 13 | |
| 16 | 2016 | 69 | |
| 17 | 2014 | 92 | |
| 18 | 2012 | 67 | |
| 19 | 2006 | 90 | |
| 20 | 1997 | 89 |
About Niranjan Bhat
Niranjan Bhat is a scholar working on Microbiology, Modeling and Simulation, Epidemiology, Infectious Diseases and Virology, having authored 55 papers that have together received 2.2k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (20 papers), Respiratory viral infections research (20 papers), Pneumonia and Respiratory Infections (19 papers), Bacterial Infections and Vaccines (8 papers), Viral gastroenteritis research and epidemiology (6 papers), COVID-19 epidemiological studies (5 papers), Vaccine Coverage and Hesitancy (5 papers) and Mosquito-borne diseases and control (4 papers). The work is most often cited by research in Virology (632 citations), Infectious Diseases (773 citations), Epidemiology (1.1k citations), Health (203 citations) and Modeling and Simulation (102 citations). Niranjan Bhat has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Ruth A. Karron, David R. Murdoch, Katherine L. O’Brien, Amanda J. Driscoll, Christian Yoder, Judith Falloon, Michael A. Polis, Henry Masur, Richard T. Davey and Julia A. Metcalf. Their work appears in journals such as Vaccine, Clinical Infectious Diseases, PLoS ONE, BMJ Open and BMC Pregnancy and Childbirth.
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.