Ravichandran Ramasamy
- Clinical Biochemistry top 0.01%
- Advanced Glycation End Products research 77
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- Diabetes, Cardiovascular Risks, and Lipoproteins 19
- Natural Antidiabetic Agents Studies 14
- Physiology top 0.5%
- Nitric Oxide and Endothelin Effects 11
- Cancer Research top 1%
- Neurology top 1%
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- Cardiac Ischemia and Reperfusion 40
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- Aldose Reductase and Taurine 34
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- Cardiac Arrest and Resuscitation 18
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- Cardiovascular Function and Risk Factors 11
- Co-authors
- Ann Marie SchmidtShi Fang YanNosirudeen QuadriMinghui GaoXuejun JiangPrashant MonianRadha AnanthakrishnanKevan C. Herold
- Journals
- Cell (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of the American Chemical Society (1 paper)
- Partner nations
- United StatesPortugalCanada
In The Last Decade
Ravichandran Ramasamy
177 papers receiving 12.7k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Clinical Biochemistry 5.2k
- Endocrinology, Diabetes and Metabolism 2.8k
- Physiology 2.3k
- Cancer Research 1.3k
- Neurology 709
Countries citing papers authored by Ravichandran Ramasamy
This map shows the geographic impact of Ravichandran Ramasamy'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 Ravichandran Ramasamy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ravichandran Ramasamy more than expected).
Fields of papers citing papers by Ravichandran Ramasamy
This network shows the impact of papers produced by Ravichandran Ramasamy. 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 Ravichandran Ramasamy. The network helps show where Ravichandran Ramasamy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ravichandran Ramasamy, 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 | 2024 | 2 | |
| 2 | 2024 | 7 | |
| 3 | 2023 | 4 | |
| 4 | 2022 | 5 | |
| 5 | 2022 | 12 | |
| 6 | 2021 | 13 | |
| 7 | 2020 | 15 | |
| 8 | 2020 | 45 | |
| 9 | 2020 | 20 | |
| 10 | 2019 | 136 | |
| 11 | 2018 | 18 | |
| 12 | 2017 | 3 | |
| 13 | 2016 | 56 | |
| 14 | 2012 | 13 | |
| 15 | 2010 | 133 | |
| 16 | 2009 | 42 | |
| 17 | 2006 | 132 | |
| 18 | 2003 | 357 | |
| 19 | 2002 | 138 | |
| 20 | 2000 | 4 |
About Ravichandran Ramasamy
Ravichandran Ramasamy is a scholar working on Clinical Biochemistry, Pathology and Forensic Medicine and Physiology, having authored 178 papers that have together received 13.0k indexed citations. Recurring topics across this work include Advanced Glycation End Products research (77 papers), Cardiac Ischemia and Reperfusion (40 papers), Aldose Reductase and Taurine (34 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (19 papers), Cardiac Arrest and Resuscitation (18 papers), Natural Antidiabetic Agents Studies (14 papers), Nitric Oxide and Endothelin Effects (11 papers) and Cardiovascular Function and Risk Factors (11 papers). The work is most often cited by research in Clinical Biochemistry (5.2k citations), Endocrinology, Diabetes and Metabolism (2.8k citations) and Physiology (2.3k citations). Ravichandran Ramasamy has collaborated with scholars based in United States, Portugal and Canada. Frequent co-authors include Ann Marie Schmidt, Shi Fang Yan, Nosirudeen Quadri, Minghui Gao, Xuejun Jiang, Prashant Monian, Radha Ananthakrishnan, Kevan C. Herold, Yoshifumi Naka and Saul Schaefer. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.