Sunil C. Kaul
Impact in
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms
- Complementary and alternative medicine top 0.05%
- Phytochemicals and Medicinal Plants
- Medicinal Plants and Neuroprotection
Papers in
- Aging 34
- Genetics, Aging, and Longevity in Model Organisms 34
-
- Phytochemicals and Medicinal Plants 55
- Medicinal Plants and Neuroprotection 26
- Co-authors
- Renu WadhwaKazunari TairaYouji MitsuiCuster C. DeocarisRoger R. ReddelTomoko YaguchiNashi WidodoDurai Sundar
- Journals
- Journal of Biological Chemistry (26 papers)PLoS ONE (17 papers)Experimental Cell Research (11 papers)Annals of the New York Academy of Sciences (10 papers)Biochemical and Biophysical Research Communications (9 papers)
- Partner nations
- JapanIndiaUnited States
In The Last Decade
Sunil C. Kaul
277 papers receiving 10.1k citations
Peers
Comparison fields: 5 of 156
- Aging 623
- Complementary and alternative medicine 1.6k
- Molecular Biology 6.3k
- Cell Biology 1.2k
- Oncology 1.3k
Countries citing papers authored by Sunil C. Kaul
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 20 | |
| 4 | 2021 | 5 | |
| 5 | 2020 | 8 | |
| 6 | 2020 | 4 | |
| 7 | Why Ashwagandha for Prevention and Treatment of COVID-19? | 2020 | 2 |
| 8 | 2018 | 11 | |
| 9 | 2016 | 91 | |
| 10 | 2016 | 11 | |
| 11 | 2011 | 60 | |
| 12 | 2010 | 57 | |
| 13 | 2008 | 25 | |
| 14 | 2006 | 2 | |
| 15 | 2006 | 143 | |
| 16 | 1999 | 76 | |
| 17 | 1999 | 123 | |
| 18 | 1993 | 32 | |
| 19 | 1991 | 46 | |
| 20 | 1991 | 29 |
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.