Manish Sharma
- Virology top 10%
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- Mosquito-borne diseases and control 6
- Infectious Diseases top 10%
- Cell Biology top 10%
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- Genetic Neurodegenerative Diseases 5
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- Autophagy in Disease and Therapy 8
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- Mitochondrial Function and Pathology 3
- Ubiquitin and proteasome pathways 2
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- Fixed Point Theorems Analysis 3
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- Optimization and Variational Analysis 2
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- Toxoplasma gondii Research Studies 2
- Co-authors
- Manjula KaliaSudhanshu VratiSrinivasa SubramaniamNeelam ShahaniUri Nimrod Ramírez-JarquínMinu NainSankar BhattacharyyaMalik Zainul Abdin
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Journal of Biological Chemistry (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesIndiaMexico
In The Last Decade
Manish Sharma
31 papers receiving 851 citations
Peers
Comparison fields: 5 of 95
- Virology 44
- Public Health, Environmental and Occupational Health 223
- Infectious Diseases 136
- Cell Biology 110
- Cellular and Molecular Neuroscience 121
Countries citing papers authored by Manish Sharma
This map shows the geographic impact of Manish Sharma'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 Manish Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manish Sharma more than expected).
Fields of papers citing papers by Manish Sharma
This network shows the impact of papers produced by Manish Sharma. 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 Manish Sharma. The network helps show where Manish Sharma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Manish Sharma, 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 | 2024 | 10 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2022 | 20 | |
| 6 | 2022 | 27 | |
| 7 | 2021 | 73 | |
| 8 | 2020 | 20 | |
| 9 | 2019 | 39 | |
| 10 | 2019 | 9 | |
| 11 | 2018 | 13 | |
| 12 | 2017 | 31 | |
| 13 | A Fixed Point Theorem in Polish Spaces with W-Distance | 2015 | 1 |
| 14 | 2014 | 17 | |
| 15 | A related fixed point theorem in three Menger spaces | 2013 | 1 |
| 16 | 2012 | 115 | |
| 17 | Infectious bursal disease virus mobilizes the apoptotic machinery to invade chicken embryo fibroblasts | 2011 | 1 |
| 18 | 2011 | 11 | |
| 19 | 1994 | 3 | |
| 20 | 1992 | 2 |
About Manish Sharma
Manish Sharma is a scholar working on Physiology, Virology and Biological Psychiatry, having authored 32 papers that have together received 856 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (8 papers), Mosquito-borne diseases and control (6 papers), Genetic Neurodegenerative Diseases (5 papers), Mitochondrial Function and Pathology (3 papers), Fixed Point Theorems Analysis (3 papers), Optimization and Variational Analysis (2 papers), Ubiquitin and proteasome pathways (2 papers) and Toxoplasma gondii Research Studies (2 papers). The work is most often cited by research in Virology (44 citations), Public Health, Environmental and Occupational Health (223 citations) and Infectious Diseases (136 citations). Manish Sharma has collaborated with scholars based in United States, India and Mexico. Frequent co-authors include Manjula Kalia, Sudhanshu Vrati, Srinivasa Subramaniam, Neelam Shahani, Uri Nimrod Ramírez-Jarquín, Minu Nain, Sankar Bhattacharyya, Malik Zainul Abdin, Kiran Bala Sharma and Vikas Sood. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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.