Ritesh Kumar
Impact in
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- Immune Cell Function and Interaction
- IL-33, ST2, and ILC Pathways
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- CAR-T cell therapy research
Papers in
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- Trypanosoma species research and implications 3
- Hepatitis B Virus Studies 2
- Co-authors
- K. Venuprasad (6 shared papers)Arianne L. Theiss (5 shared papers)Vikash Kumar Dubey (5 shared papers)Mahesh Kathania (3 shared papers)Sweta Gupta (1 shared paper)Narayan Chandra Mishra (1 shared paper)Marco L. Davila (1 shared paper)Jitendra Kumar (2 shared papers)
- Journals
- Nature Communications (1 paper)iScience (1 paper)Materials Science and Engineering C (1 paper)Trends in Immunology (1 paper)Archives of Biochemistry and Biophysics (1 paper)
- Partner nations
- IndiaUnited StatesSouth Korea
In The Last Decade
Ritesh Kumar
27 papers receiving 500 citations
Peers
Comparison fields: 5 of 88
- Immunology 141
- Oncology 113
- Molecular Biology 182
- Computer Networks and Communications 52
- Biological Psychiatry 5
Countries citing papers authored by Ritesh Kumar
This map shows the geographic impact of Ritesh 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 Ritesh Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ritesh Kumar more than expected).
Fields of papers citing papers by Ritesh Kumar
This network shows the impact of papers produced by Ritesh 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 Ritesh Kumar. The network helps show where Ritesh Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Ritesh 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 125 | |
| 2 | 2021 | 92 | |
| 3 | 2020 | 84 | |
| 4 | 2008 | 52 | |
| 5 | 2016 | 34 | |
| 6 | 2018 | 28 | |
| 7 | 2017 | 22 | |
| 8 | 2017 | 10 | |
| 9 | 2016 | 9 | |
| 10 | 2021 | 7 | |
| 11 | 2022 | 7 | |
| 12 | 2015 | 6 | |
| 13 | 2022 | 6 | |
| 14 | 2016 | 5 | |
| 15 | 2016 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2009 | 3 | |
| 18 | 2016 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2017 | 2 |
About Ritesh Kumar
Ritesh Kumar is a scholar working on Molecular Biology, Epidemiology, Surgery, Public Health, Environmental and Occupational Health and Immunology, having authored 29 papers that have together received 512 indexed citations. Recurring topics across this work include IL-33, ST2, and ILC Pathways (5 papers), Research on Leishmaniasis Studies (5 papers), Trypanosoma species research and implications (3 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), Hepatitis B Virus Studies (2 papers), Mobile Ad Hoc Networks (2 papers), Clostridium difficile and Clostridium perfringens research (2 papers) and Hepatitis C virus research (2 papers). The work is most often cited by research in Immunology (141 citations), Oncology (113 citations), Molecular Biology (182 citations), Computer Networks and Communications (52 citations) and Biological Psychiatry (5 citations). Ritesh Kumar has collaborated with scholars based in India, United States and South Korea. Frequent co-authors include K. Venuprasad, Arianne L. Theiss, Vikash Kumar Dubey, Mahesh Kathania, Sweta Gupta, Narayan Chandra Mishra, Marco L. Davila, Jitendra Kumar, Matthew J. Riese and Venkatesha Basrur. Their work appears in journals such as Nature Communications, iScience, Materials Science and Engineering C, Trends in Immunology and Archives of Biochemistry and Biophysics.
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.