Prashant Kumar
Impact in
- Endocrinology top 10%
- Escherichia coli research studies
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- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 and COVID-19 Research
Papers in
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- Viral gastroenteritis research and epidemiology 11
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- Escherichia coli research studies 6
- Co-authors
- Charles Russell Middaugh (7 shared papers)Peter Macheroux (3 shared papers)Karl F. Gruber (3 shared papers)Silvia Wallner (2 shared papers)David B. Volkin (12 shared papers)Sangeeta B. Joshi (11 shared papers)Nicholas E. Dickenson (3 shared papers)Wendy L. Picking (5 shared papers)
- Journals
- Journal of Pharmaceutical Sciences (6 papers)Pharmaceutics (3 papers)Vaccine (2 papers)Protein Science (2 papers)Human Vaccines & Immunotherapeutics (2 papers)
- Partner nations
- United StatesIndiaAustralia
In The Last Decade
Prashant Kumar
36 papers receiving 345 citations
Peers
Comparison fields: 5 of 69
- Endocrinology 55
- Infectious Diseases 97
- Molecular Medicine 24
- Animal Science and Zoology 24
- Microbiology 13
Countries citing papers authored by Prashant Kumar
This map shows the geographic impact of Prashant Kumar'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 Prashant Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prashant Kumar more than expected).
Fields of papers citing papers by Prashant Kumar
This network shows the impact of papers produced by Prashant Kumar. 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 Prashant Kumar. The network helps show where Prashant Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Prashant Kumar, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 48 | |
| 2 | 2016 | 30 | |
| 3 | 2018 | 28 | |
| 4 | 2018 | 19 | |
| 5 | 2022 | 19 | |
| 6 | 2014 | 19 | |
| 7 | 2016 | 18 | |
| 8 | 2017 | 15 | |
| 9 | 2024 | 14 | |
| 10 | 2017 | 13 | |
| 11 | 2021 | 11 | |
| 12 | 2020 | 11 | |
| 13 | 2022 | 10 | |
| 14 | 2017 | 10 | |
| 15 | 2021 | 9 | |
| 16 | 2016 | 9 | |
| 17 | 2021 | 8 | |
| 18 | 2015 | 8 | |
| 19 | 2025 | 7 | |
| 20 | 2023 | 7 |
About Prashant Kumar
Prashant Kumar is a scholar working on Infectious Diseases, Endocrinology, Molecular Medicine, Food Science and Cardiology and Cardiovascular Medicine, having authored 38 papers that have together received 352 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (11 papers), Escherichia coli research studies (6 papers), Viral Infections and Immunology Research (5 papers), Protein purification and stability (4 papers), Animal Virus Infections Studies (3 papers), Proteins in Food Systems (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Endocrinology (55 citations), Infectious Diseases (97 citations), Molecular Medicine (24 citations), Animal Science and Zoology (24 citations) and Microbiology (13 citations). Prashant Kumar has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Charles Russell Middaugh, Peter Macheroux, Karl F. Gruber, Silvia Wallner, David B. Volkin, Sangeeta B. Joshi, Nicholas E. Dickenson, Wendy L. Picking, Yangjie Wei and Newton Wahome. Their work appears in journals such as Journal of Pharmaceutical Sciences, Pharmaceutics, Vaccine, Protein Science and Human Vaccines & Immunotherapeutics.
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.