Mohan Kale
Impact in
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- Viral Infections and Vectors
- SARS-CoV-2 and COVID-19 Research
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- Mosquito-borne diseases and control
- Malaria Research and Control
Papers in
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- Stochastic processes and statistical mechanics 11
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- Bayesian Methods and Mixture Models 8
- Co-authors
- Urmila Kulkarni‐Kale (17 shared papers)Pandurang Kolekar (8 shared papers)Vaishali Waman (5 shared papers)Hans Utkilen (1 shared paper)Mona Sæbø (1 shared paper)Andrew Jenkins (1 shared paper)T. V. Ramanathan (2 shared papers)A.L. Børresen-Dale (1 shared paper)
- Journals
- PLoS ONE (3 papers)Viruses (2 papers)Biometrical Journal (1 paper)Molecular Oncology (1 paper)Infection Genetics and Evolution (1 paper)
- Partner nations
- IndiaNorwayUnited States
In The Last Decade
Mohan Kale
28 papers receiving 335 citations
Peers
Comparison fields: 5 of 70
- Infectious Diseases 111
- Public Health, Environmental and Occupational Health 104
- Environmental Chemistry 32
- Ecology 75
- Oceanography 35
Countries citing papers authored by Mohan Kale
This map shows the geographic impact of Mohan Kale'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 Mohan Kale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohan Kale more than expected).
Fields of papers citing papers by Mohan Kale
This network shows the impact of papers produced by Mohan Kale. 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 Mohan Kale. The network helps show where Mohan Kale may publish in the future.
Co-authors
The 21 scholars most cited alongside Mohan Kale, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 75 | |
| 2 | 2016 | 56 | |
| 3 | 2012 | 41 | |
| 4 | 2014 | 32 | |
| 5 | 2020 | 24 | |
| 6 | 2017 | 22 | |
| 7 | 2016 | 18 | |
| 8 | 2015 | 15 | |
| 9 | 2021 | 8 | |
| 10 | 2020 | 7 | |
| 11 | Genotyping of Mumps viruses based on SH gene: Develop- ment of a server using alignment-free and alignment-based methods | 2011 | 6 |
| 12 | 2010 | 6 | |
| 13 | 2024 | 3 | |
| 14 | 2014 | 3 | |
| 15 | 2021 | 3 | |
| 16 | 2021 | 3 | |
| 17 | 1997 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2016 | 2 | |
| 20 | 2018 | 2 |
About Mohan Kale
Mohan Kale is a scholar working on Mathematical Physics, Artificial Intelligence, Public Health, Environmental and Occupational Health, Molecular Biology and Epidemiology, having authored 33 papers that have together received 344 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (11 papers), Bayesian Methods and Mixture Models (8 papers), Mosquito-borne diseases and control (5 papers), Probability and Risk Models (4 papers), Virology and Viral Diseases (4 papers), Genomics and Phylogenetic Studies (3 papers), Plant Virus Research Studies (3 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Infectious Diseases (111 citations), Public Health, Environmental and Occupational Health (104 citations), Environmental Chemistry (32 citations), Ecology (75 citations) and Oceanography (35 citations). Mohan Kale has collaborated with scholars based in India, Norway and United States. Frequent co-authors include Urmila Kulkarni‐Kale, Pandurang Kolekar, Vaishali Waman, Hans Utkilen, Mona Sæbø, Andrew Jenkins, T. V. Ramanathan, A.L. Børresen-Dale, Elin H. Kure and Suresh V. Kuchipudi. Their work appears in journals such as PLoS ONE, Viruses, Biometrical Journal, Molecular Oncology and Infection Genetics and Evolution.
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.