Swapnil Mishra
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies 17
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research 4
- COVID-19 Clinical Research Studies 3
- Health top 10%
- Economics and Econometrics top 5%
- COVID-19 Pandemic Impacts 4
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- Influenza Virus Research Studies 3
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- Bayesian Methods and Mixture Models 3
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- Global Health Care Issues 3
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- demographic modeling and climate adaptation 3
- Co-authors
- Seth FlaxmanSamir BhattH. Juliette T. UnwinThomas A. MellanWray BuntineDaniel J. LaydonAxel GandyOliver Ratmann
- Journals
- Nature Communications (1 paper)SHILAP Revista de lepidopterología (2 papers)PLoS ONE (3 papers)
- Partner nations
- United KingdomDenmarkSingapore
In The Last Decade
Swapnil Mishra
41 papers receiving 821 citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Modeling and Simulation 384
- Infectious Diseases 239
- Health 91
- Economics and Econometrics 179
- Clinical Psychology 105
Countries citing papers authored by Swapnil Mishra
This map shows the geographic impact of Swapnil Mishra'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 Swapnil Mishra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Swapnil Mishra more than expected).
Fields of papers citing papers by Swapnil Mishra
This network shows the impact of papers produced by Swapnil Mishra. 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 Swapnil Mishra. The network helps show where Swapnil Mishra may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Swapnil Mishra, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 8 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 34 | |
| 8 | 2023 | 60 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 8 | |
| 12 | 2022 | 6 | |
| 13 | 2022 | 1 | |
| 14 | 2021 | 12 | |
| 15 | 2021 | 15 | |
| 16 | 2021 | 36 | |
| 17 | 2020 | 11 | |
| 18 | 2016 | 4 | |
| 19 | N-acetyltransferase and cytochrome P450 2E1 gene polymorphisms and susceptibility to antituberculosis drug hepatotoxicity in an Indian population. | 2014 | 17 |
| 20 | 1992 | 6 |
About Swapnil Mishra
Swapnil Mishra is a scholar working on Modeling and Simulation, Infectious Diseases and Health, having authored 46 papers that have together received 844 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (17 papers), SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Pandemic Impacts (4 papers), Influenza Virus Research Studies (3 papers), Bayesian Methods and Mixture Models (3 papers), Global Health Care Issues (3 papers), COVID-19 Clinical Research Studies (3 papers) and demographic modeling and climate adaptation (3 papers). The work is most often cited by research in Modeling and Simulation (384 citations), Infectious Diseases (239 citations) and Health (91 citations). Swapnil Mishra has collaborated with scholars based in United Kingdom, Denmark and Singapore. Frequent co-authors include Seth Flaxman, Samir Bhatt, H. Juliette T. Unwin, Thomas A. Mellan, Wray Buntine, Daniel J. Laydon, Axel Gandy, Oliver Ratmann, Neil M. Ferguson and Michaela Vollmer. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.
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.