Renuka Kunte
- Public Health, Environmental and Occupational Health top 10%
- Parasitology top 10%
- Infectious Diseases
- Pediatrics, Perinatology and Child Health
- Modeling and Simulation top 10%
- Co-authors
- Rajesh KunwarD.R. BasannarSeema PatrikarAtul KotwalMurlidhar TambeBanerjee AkArun GuptaK. D. Chatterjee
- Topics
- COVID-19 epidemiological studies (4 papers)COVID-19 Pandemic Impacts (3 papers)Viral gastroenteritis research and epidemiology (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaAsia Pacific Journal of Public HealthIndian Journal of Public Health
In The Last Decade
Renuka Kunte
20 papers receiving 355 citations
Peers
Comparison fields: 5 of 93
- Public Health, Environmental and Occupational Health 218
- Parasitology 71
- Infectious Diseases 68
- Pediatrics, Perinatology and Child Health 45
- Modeling and Simulation 31
Countries citing papers authored by Renuka Kunte
This map shows the geographic impact of Renuka Kunte'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 Renuka Kunte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renuka Kunte more than expected).
Fields of papers citing papers by Renuka Kunte
This network shows the impact of papers produced by Renuka Kunte. 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 Renuka Kunte. The network helps show where Renuka Kunte may publish in the future.
Co-authorship network of co-authors of Renuka Kunte
This figure shows the co-authorship network connecting the top 25 collaborators of Renuka Kunte. A scholar is included among the top collaborators of Renuka Kunte based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Renuka Kunte. Renuka Kunte is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 33 | |
| 7 | 7 | |
| 8 | 13 | |
| 9 | 0 | |
| 10 | 4 | |
| 11 | 34 | |
| 12 | 8 | |
| 13 | 2 | |
| 14 | 3 | |
| 15 | 8 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | Hand washing with soap: the most effective 'do-it-yourself' vaccine? | 2 |
| 19 | 14 | |
| 20 | 217 |
About Renuka Kunte
Renuka Kunte is a scholar working on Modeling and Simulation, Infectious Diseases and Health, having authored 24 papers that have together received 364 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (4 papers), COVID-19 Pandemic Impacts (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Parasitology (71 citations), Public Health, Environmental and Occupational Health (218 citations) and Modeling and Simulation (31 citations). Renuka Kunte has collaborated with scholars based in India and Nepal. Frequent co-authors include Rajesh Kunwar, D.R. Basannar, Seema Patrikar, Atul Kotwal, Murlidhar Tambe, Banerjee Ak, Arun Gupta, K. D. Chatterjee, Prachi Dubey and Archit Gupta. Their work appears in journals such as SHILAP Revista de lepidopterología, Asia Pacific Journal of Public Health and Indian Journal of Public Health.
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.