Mayuri Sharma
Impact in
- Parasitology top 5%
- Toxoplasma gondii Research Studies
- Epidemiology top 10%
- Cytomegalovirus and herpesvirus research
- Herpesvirus Infections and Treatments
Papers in
- Epidemiology 13
- Cytomegalovirus and herpesvirus research 12
- Herpesvirus Infections and Treatments 11
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- Mosquito-borne diseases and control 11
- Malaria Research and Control 6
- Co-authors
- Donald M. Coen (10 shared papers)Jeremy P. Kamil (4 shared papers)James M. Hogle (3 shared papers)Yogesh Gat (2 shared papers)Anil Panghal (2 shared papers)Vikas Kumar (2 shared papers)Shalini S. Arya (1 shared paper)Ashwani Kumar (1 shared paper)
- Journals
- Journal of Virology (7 papers)The Journal of Infectious Diseases (4 papers)npj Vaccines (2 papers)PLoS Medicine (1 paper)Virology Journal (1 paper)
- Partner nations
- United StatesSwitzerlandIndia
In The Last Decade
Mayuri Sharma
26 papers receiving 694 citations
Peers
Comparison fields: 5 of 72
- Parasitology 99
- Epidemiology 335
- Infectious Diseases 168
- Biotechnology 76
- Virology 24
Countries citing papers authored by Mayuri Sharma
This map shows the geographic impact of Mayuri 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 Mayuri Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayuri Sharma more than expected).
Fields of papers citing papers by Mayuri Sharma
This network shows the impact of papers produced by Mayuri 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 Mayuri Sharma. The network helps show where Mayuri Sharma may publish in the future.
Co-authors
The 25 scholars most cited alongside Mayuri 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
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 106 | |
| 2 | 2014 | 104 | |
| 3 | 2013 | 63 | |
| 4 | 2015 | 59 | |
| 5 | 2012 | 59 | |
| 6 | 2014 | 52 | |
| 7 | 2015 | 49 | |
| 8 | 2019 | 31 | |
| 9 | 2012 | 21 | |
| 10 | 2014 | 19 | |
| 11 | 2013 | 19 | |
| 12 | 2013 | 17 | |
| 13 | 2018 | 15 | |
| 14 | 2013 | 13 | |
| 15 | 2019 | 12 | |
| 16 | 2015 | 10 | |
| 17 | 2024 | 9 | |
| 18 | 2017 | 9 | |
| 19 | 2022 | 8 | |
| 20 | 2023 | 8 |
About Mayuri Sharma
Mayuri Sharma is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Infectious Diseases, Molecular Biology and Immunology, having authored 30 papers that have together received 706 indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (12 papers), Herpesvirus Infections and Treatments (11 papers), Mosquito-borne diseases and control (11 papers), Malaria Research and Control (6 papers), Viral Infections and Vectors (6 papers), RNA regulation and disease (5 papers), Viral Infections and Outbreaks Research (3 papers) and Toxoplasma gondii Research Studies (3 papers). The work is most often cited by research in Parasitology (99 citations), Epidemiology (335 citations), Infectious Diseases (168 citations), Biotechnology (76 citations) and Virology (24 citations). Mayuri Sharma has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Donald M. Coen, Jeremy P. Kamil, James M. Hogle, Yogesh Gat, Anil Panghal, Vikas Kumar, Shalini S. Arya, Ashwani Kumar, Jean M. Pesola and Igor Jurak. Their work appears in journals such as Journal of Virology, The Journal of Infectious Diseases, npj Vaccines, PLoS Medicine and Virology Journal.
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.