Sathishkumar Chandrakumar
Impact in
- Aging top 10%
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Circular RNAs in diseases 2
- Extracellular vesicles in disease 1
- Histone Deacetylase Inhibitors Research 1
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- Telomeres, Telomerase, and Senescence 2
- Adipose Tissue and Metabolism 2
- Co-authors
- Viswanathan Mohan (9 shared papers)Prabu Paramasivam (8 shared papers)Muthuswamy Balasubramanyam (8 shared papers)Mahalingam Balakumar (3 shared papers)Finny Monickaraj (3 shared papers)Kuppan Gokulakrishnan (4 shared papers)Virender Kumar Batish (1 shared paper)Namita Rokana (1 shared paper)
- Journals
- Diabetes (3 papers)PLoS ONE (1 paper)Journal of Biosciences (1 paper)Molecular and Cellular Biochemistry (1 paper)Molecular Biology Reports (1 paper)
- Partner nations
- IndiaUnited StatesPakistan
In The Last Decade
Sathishkumar Chandrakumar
12 papers receiving 708 citations
Peers
Comparison fields: 5 of 83
- Aging 34
- Cancer Research 166
- Physiology 220
- Geriatrics and Gerontology 20
- Molecular Biology 358
Countries citing papers authored by Sathishkumar Chandrakumar
This map shows the geographic impact of Sathishkumar Chandrakumar'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 Sathishkumar Chandrakumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sathishkumar Chandrakumar more than expected).
Fields of papers citing papers by Sathishkumar Chandrakumar
This network shows the impact of papers produced by Sathishkumar Chandrakumar. 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 Sathishkumar Chandrakumar. The network helps show where Sathishkumar Chandrakumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Sathishkumar Chandrakumar, 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 | 2016 | 156 | |
| 2 | 2018 | 152 | |
| 3 | 2012 | 106 | |
| 4 | 2016 | 80 | |
| 5 | 2015 | 63 | |
| 6 | 2013 | 56 | |
| 7 | 2012 | 51 | |
| 8 | 2011 | 21 | |
| 9 | 2021 | 14 | |
| 10 | 2023 | 14 | |
| 11 | 2023 | 7 | |
| 12 | 2023 | 2 |
About Sathishkumar Chandrakumar
Sathishkumar Chandrakumar is a scholar working on Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine, Epidemiology and Cancer Research, having authored 12 papers that have together received 722 indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (2 papers), Circular RNAs in diseases (2 papers), MicroRNA in disease regulation (2 papers), Adipose Tissue and Metabolism (2 papers), Extracellular vesicles in disease (1 paper), Artificial Intelligence in Healthcare (1 paper), Estrogen and related hormone effects (1 paper) and Histone Deacetylase Inhibitors Research (1 paper). The work is most often cited by research in Aging (34 citations), Cancer Research (166 citations), Physiology (220 citations), Geriatrics and Gerontology (20 citations) and Molecular Biology (358 citations). Sathishkumar Chandrakumar has collaborated with scholars based in India, United States and Pakistan. Frequent co-authors include Viswanathan Mohan, Prabu Paramasivam, Muthuswamy Balasubramanyam, Mahalingam Balakumar, Finny Monickaraj, Kuppan Gokulakrishnan, Virender Kumar Batish, Namita Rokana, Sunita Grover and Ramesh Kumar. Their work appears in journals such as Diabetes, PLoS ONE, Journal of Biosciences, Molecular and Cellular Biochemistry and Molecular Biology Reports.
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.