Punam Mangtani
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies 19
- Infectious Diseases top 0.5%
- Tuberculosis Research and Epidemiology 16
- Health top 0.5%
- Vaccine Coverage and Hesitancy 14
- Epidemiology top 1%
- Influenza Virus Research Studies 42
- Pneumonia and Respiratory Infections 17
- Respiratory viral infections research 15
- Immunology top 2%
- Immune responses and vaccinations 11
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- Animal Disease Management and Epidemiology 16
- Co-authors
- Laura C. RodriguesIbrahim AbubakarEmilia VynnyckyCharlotte JacksonMarc LipmanJonathan A C SternePeter G. SmithLaura Pimpin
- Journals
- New England Journal of Medicine (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nature Communications (1 paper)
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
Punam Mangtani
114 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Modeling and Simulation 619
- Infectious Diseases 1.9k
- Health 789
- Epidemiology 2.4k
- Immunology 1.1k
Countries citing papers authored by Punam Mangtani
This map shows the geographic impact of Punam Mangtani'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 Punam Mangtani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Punam Mangtani more than expected).
Fields of papers citing papers by Punam Mangtani
This network shows the impact of papers produced by Punam Mangtani. 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 Punam Mangtani. The network helps show where Punam Mangtani may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Punam Mangtani, 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 | 0 | |
| 2 | 2025 | 4 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 8 | |
| 8 | 2022 | 2 | |
| 9 | 2021 | 6 | |
| 10 | 2020 | 1 | |
| 11 | 2019 | 29 | |
| 12 | 2015 | 19 | |
| 13 | 2013 | 344 | |
| 14 | 2013 | 136 | |
| 15 | 2013 | 11 | |
| 16 | 2012 | 6 | |
| 17 | 2007 | 94 | |
| 18 | 2006 | 95 | |
| 19 | 2005 | 29 | |
| 20 | Influenza vaccination. Shot down. | 2000 | 1 |
About Punam Mangtani
Punam Mangtani is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology, having authored 118 papers that have together received 5.4k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (42 papers), COVID-19 epidemiological studies (19 papers), Pneumonia and Respiratory Infections (17 papers), Tuberculosis Research and Epidemiology (16 papers), Animal Disease Management and Epidemiology (16 papers), Respiratory viral infections research (15 papers), Vaccine Coverage and Hesitancy (14 papers) and Immune responses and vaccinations (11 papers). The work is most often cited by research in Modeling and Simulation (619 citations), Infectious Diseases (1.9k citations) and Health (789 citations). Punam Mangtani has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Laura C. Rodrigues, Ibrahim Abubakar, Emilia Vynnycky, Charlotte Jackson, Marc Lipman, Jonathan A C Sterne, Peter G. Smith, Laura Pimpin, Jennifer Roberts and Cono Ariti. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Nature Communications.
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.