C S Kumar

986 citations
21 papers · 877 · 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 827 citations

Peers

C S Kumar
Comparison fields: 5 of 78
  • Immunology 235
  • Cardiology and Cardiovascular Medicine 234
  • Physiology 188
  • Cellular and Molecular Neuroscience 132
  • Molecular Biology 436
Replace Renate Paddenberg with:
Renate Paddenberg Germany
Katherine B. Pryzwansky United States
D Latchman United Kingdom
Fujiko Tsukahara Japan
Giorgia Egidy France
Fulvia Terenzi United States
K H Krause Switzerland
Keizo Furuke Japan
Roel C. van der Veen United States
Darshana Patel United States
C S Kumar relative to Renate Paddenberg Germany Renate Paddenberg's profile →
Citations per field
00.5×1.5×1.8×
Renate Paddenberg · 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 1992129
2 1990119
3 199270
4 198968
5 199464
6 199060
7 199258
8 199145
9 199642
10 199242
11 199340
12 198824
13 198922
14 200722
15 199318
16 199816
17 199415
18 20079
19 20137
20 19966

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 877 indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (4 papers), interferon and immune responses (4 papers), Receptor Mechanisms and Signaling (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Virology and Viral Diseases (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Renin-Angiotensin System Studies (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Immunology (235 citations), Cardiology and Cardiovascular Medicine (234 citations), Physiology (188 citations), Cellular and Molecular Neuroscience (132 citations) and Molecular Biology (436 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, Derk J. Bergsma, Catherine Ellis and Nambi Aiyar. Their work appears in journals such as Journal of Biological Chemistry, Molecular Pharmacology, FEBS Letters, Biochemical and Biophysical Research Communications and Journal of Neurochemistry.

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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