C S Kumar

984 citations
21 papers · 829 indexed · h-index 16

Impact in

Papers in

    • Receptor Mechanisms and Signaling 4
    • interferon and immune responses 4
    • Immune Cell Function and Interaction 2

C S Kumar

21 papers receiving 801 citations

Peers

C S Kumar
Comparison fields: 5 of 77
  • Immunology 229
  • Cardiology and Cardiovascular Medicine 222
  • Cellular and Molecular Neuroscience 133
  • Physiology 170
  • Molecular Biology 419
Replace Fujiko Tsukahara with:
Fujiko Tsukahara Japan
Brett Connolly United States
Giorgia Egidy France
Fulvia Terenzi United States
Darshana Patel United States
Márta Szaszák Germany
Ann L. Moore United States
Daniel Céfaï France
Marwan Alfalah Germany
Alejandra Clark United Kingdom
C S Kumar relative to Fujiko Tsukahara Japan Fujiko Tsukahara's profile →
Citations per field
00.5×3.4×
Fujiko Tsukahara · 1×
Citations per year

Countries citing papers authored by C S Kumar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with C S Kumar Line = papers co-authored together C S Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992123
2 1990119
3 199269
4 198965
5 199059
6 199455
7 199251
8 199144
9 199640
10 199240
11 199335
12 198922
13 198822
14 200719
15 199317
16 199816
17 199412
18 20078
19 20137
20 19965

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.

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