Sunil C. Kaul

13.1k citations
284 papers · 10.3k indexed · h-index 57

Impact in

Papers in

Sunil C. Kaul

277 papers receiving 10.1k citations

Peers

Sunil C. Kaul
Comparison fields: 5 of 156
  • Aging 623
  • Complementary and alternative medicine 1.6k
  • Molecular Biology 6.3k
  • Cell Biology 1.2k
  • Oncology 1.3k
Replace Renu Wadhwa with:
Renu Wadhwa Japan
Bennett Van Houten United States
Ella Bossy‐Wetzel United States
Jean‐Claude Martinou Switzerland
Xuesong Liu China
Catherine Brenner France
Thomas G. Cotter Ireland
Jeffrey A. Johnson United States
Shigeomi Shimizu Japan
Afshin Samali Ireland
Sunil C. Kaul relative to Renu Wadhwa Japan Renu Wadhwa's profile →
Citations per field
00.5×1.5×
Renu Wadhwa · 1×
Citations per year

Countries citing papers authored by Sunil C. Kaul

Since Specialization
Citations

This map shows the geographic impact of Sunil C. Kaul'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 Sunil C. Kaul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunil C. Kaul more than expected).

Fields of papers citing papers by Sunil C. Kaul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sunil C. Kaul. 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 Sunil C. Kaul. The network helps show where Sunil C. Kaul may publish in the future.

Co-authors

The 25 scholars most cited alongside Sunil C. Kaul, 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 Sunil C. Kaul Line = papers co-authored together Sunil C. Kaul links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 202220
4 20215
5 20208
6 20204
7
Why Ashwagandha for Prevention and Treatment of COVID-19?
20202
8 201811
9 201691
10 201611
11 201160
12 201057
13 200825
14 20062
15 2006143
16 199976
17 1999123
18 199332
19 199146
20 199129

About Sunil C. Kaul

Sunil C. Kaul is a scholar working on Aging, Complementary and alternative medicine, Molecular Biology, Oncology and Physiology, having authored 284 papers that have together received 10.3k indexed citations. Recurring topics across this work include Heat shock proteins research (67 papers), Phytochemicals and Medicinal Plants (55 papers), Genetics, Aging, and Longevity in Model Organisms (34 papers), Cancer-related Molecular Pathways (32 papers), Telomeres, Telomerase, and Senescence (29 papers), Medicinal Plants and Neuroprotection (26 papers), Cell death mechanisms and regulation (17 papers) and PARP inhibition in cancer therapy (17 papers). The work is most often cited by research in Aging (623 citations), Complementary and alternative medicine (1.6k citations), Molecular Biology (6.3k citations), Cell Biology (1.2k citations) and Oncology (1.3k citations). Sunil C. Kaul has collaborated with scholars based in Japan, India and United States. Frequent co-authors include Renu Wadhwa, Kazunari Taira, Youji Mitsui, Custer C. Deocaris, Roger R. Reddel, Tomoko Yaguchi, Nashi Widodo, Durai Sundar, Syuichi Takano and Navjot Shah. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE, Experimental Cell Research, Annals of the New York Academy of Sciences and Biochemical and Biophysical Research Communications.

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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