Prem Shankar
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research 6
- COVID-19 Clinical Research Studies 3
- Tuberculosis Research and Epidemiology 3
- Epidemiology top 10%
- Mycobacterium research and diagnosis 3
- Trypanosoma species research and implications 3
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- Research on Leishmaniasis Studies 4
- Parasitology top 10%
- Microbiology top 10%
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- MicroRNA in disease regulation 3
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- Extracellular vesicles in disease 3
- Co-authors
- Sarman SinghSaumya SrivastavaJyotsna MishraShriniwasAhuja GkKrishna MohanMadhuri BehariKameshwar Prasad
- Partner nations
- IndiaUnited StatesPakistan
In The Last Decade
Prem Shankar
32 papers receiving 792 citations
Peers
Comparison fields: 5 of 105
- Infectious Diseases 294
- Epidemiology 358
- Public Health, Environmental and Occupational Health 242
- Parasitology 49
- Microbiology 36
Countries citing papers authored by Prem Shankar
This map shows the geographic impact of Prem Shankar'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 Prem Shankar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prem Shankar more than expected).
Fields of papers citing papers by Prem Shankar
This network shows the impact of papers produced by Prem Shankar. 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 Prem Shankar. The network helps show where Prem Shankar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Prem Shankar, 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 | 1 | |
| 2 | 2025 | 3 | |
| 3 | 2023 | 21 | |
| 4 | 2023 | 18 | |
| 5 | 2023 | 23 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 34 | |
| 8 | 2022 | 6 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 17 | |
| 11 | 2021 | 1 | |
| 12 | 2021 | 5 | |
| 13 | 2020 | 3 | |
| 14 | 2020 | 11 | |
| 15 | 2020 | 3 | |
| 16 | 2019 | 5 | |
| 17 | 2019 | 6 | |
| 18 | 2016 | 137 | |
| 19 | 1991 | 107 | |
| 20 | 1991 | 201 |
About Prem Shankar
Prem Shankar is a scholar working on Health Informatics, Infectious Diseases, Parasitology, Family Practice and Modeling and Simulation, having authored 32 papers that have together received 828 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), Research on Leishmaniasis Studies (4 papers), COVID-19 Clinical Research Studies (3 papers), MicroRNA in disease regulation (3 papers), Mycobacterium research and diagnosis (3 papers), Trypanosoma species research and implications (3 papers), Extracellular vesicles in disease (3 papers) and Tuberculosis Research and Epidemiology (3 papers). The work is most often cited by research in Infectious Diseases (294 citations), Epidemiology (358 citations), Public Health, Environmental and Occupational Health (242 citations), Parasitology (49 citations) and Microbiology (36 citations). Prem Shankar has collaborated with scholars based in India, United States and Pakistan. Frequent co-authors include Sarman Singh, Saumya Srivastava, Jyotsna Mishra, Shriniwas, Ahuja Gk, Krishna Mohan, Madhuri Behari, Kameshwar Prasad, N. M. L. Manjunath and Anil Kumar Gupta. Their work appears in journals such as Parasites & Vectors, PLoS ONE, Microbiology Spectrum, Journal of Clinical Medicine and The Indian Journal of Medical Research.
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.