C S Kumar
Impact in
- Immunology top 10%
- interferon and immune responses
- Immune Cell Function and Interaction
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- Renin-Angiotensin System Studies
Papers in ⓘ
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- Receptor Mechanisms and Signaling 4
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- interferon and immune responses 4
- Immune Cell Function and Interaction 2
- Co-authors
- Sidney Pestka (7 shared papers)Thomas M. Mariano (5 shared papers)Parvathi Nuthulaganti (5 shared papers)Nabil A. Elshourbagy (3 shared papers)P Nambi (5 shared papers)Yasuhide Hibino (2 shared papers)M Pullen (4 shared papers)Catherine Ellis (2 shared papers)
- Journals
- Journal of Biological Chemistry (7 papers)Molecular Pharmacology (3 papers)Neuropeptides (1 paper)FEBS Letters (1 paper)Veterinary Microbiology (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
C S Kumar
21 papers receiving 801 citations
Peers
Comparison fields: 5 of 77
- Immunology 229
- Cardiology and Cardiovascular Medicine 222
- Cellular and Molecular Neuroscience 133
- Physiology 170
- Molecular Biology 419
Countries citing papers authored by C S Kumar
This map shows the geographic impact of C S 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 C S Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C S Kumar more than expected).
Fields of papers citing papers by C S Kumar
This network shows the impact of papers produced by C S 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 C S Kumar. The network helps show where C S Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside C S 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 123 | |
| 2 | 1990 | 119 | |
| 3 | 1992 | 69 | |
| 4 | 1989 | 65 | |
| 5 | 1990 | 59 | |
| 6 | 1994 | 55 | |
| 7 | 1992 | 51 | |
| 8 | 1991 | 44 | |
| 9 | 1996 | 40 | |
| 10 | 1992 | 40 | |
| 11 | 1993 | 35 | |
| 12 | 1989 | 22 | |
| 13 | 1988 | 22 | |
| 14 | 2007 | 19 | |
| 15 | 1993 | 17 | |
| 16 | 1998 | 16 | |
| 17 | 1994 | 12 | |
| 18 | 2007 | 8 | |
| 19 | 2013 | 7 | |
| 20 | 1996 | 5 |
About C S Kumar
C S Kumar is a scholar working on Molecular Biology, Immunology, Cellular and Molecular Neuroscience, Physiology and Oncology, having authored 21 papers that have together received 829 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (4 papers), interferon and immune responses (4 papers), Nitric Oxide and Endothelin Effects (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Renin-Angiotensin System Studies (2 papers), Immune Cell Function and Interaction (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Reproductive Biology and Fertility (2 papers). The work is most often cited by research in Immunology (229 citations), Cardiology and Cardiovascular Medicine (222 citations), Cellular and Molecular Neuroscience (133 citations), Physiology (170 citations) and Molecular Biology (419 citations). C S Kumar has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Sidney Pestka, Thomas M. Mariano, Parvathi Nuthulaganti, Nabil A. Elshourbagy, P Nambi, Yasuhide Hibino, M Pullen, Catherine Ellis, Derk J. Bergsma and Nambi Aiyar. Their work appears in journals such as Journal of Biological Chemistry, Molecular Pharmacology, Neuropeptides, FEBS Letters and Veterinary Microbiology.
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.