Ravikumar Manickam
Impact in
- Geriatrics and Gerontology top 10%
- Sirtuins and Resveratrol in Medicine
-
- Adipose Tissue and Metabolism
- Diet and metabolism studies
- Nutrition and Health in Aging
Papers in
-
- Sirtuins and Resveratrol in Medicine 4
-
- Adipose Tissue and Metabolism 6
- Co-authors
- Walter Wahli (5 shared papers)Kalina Duszka (1 shared paper)Srinivas M. Tipparaju (10 shared papers)Chek Kun Tan (1 shared paper)Marco A. P. Brotto (2 shared papers)Xiaojia Ge (2 shared papers)Ravi Kambadur (2 shared papers)Sabeera Bonala (2 shared papers)
- Journals
- International Journal of Molecular Sciences (3 papers)Molecular and Cellular Biochemistry (2 papers)Canadian Journal of Physiology and Pharmacology (2 papers)Biology of Reproduction (1 paper)Biochimie (1 paper)
- Partner nations
- United StatesSingaporeSwitzerland
In The Last Decade
Ravikumar Manickam
17 papers receiving 438 citations
Peers
Comparison fields: 5 of 69
- Geriatrics and Gerontology 40
- Physiology 169
- Aging 7
- Rehabilitation 23
- Molecular Biology 243
Countries citing papers authored by Ravikumar Manickam
This map shows the geographic impact of Ravikumar Manickam'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 Ravikumar Manickam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ravikumar Manickam more than expected).
Fields of papers citing papers by Ravikumar Manickam
This network shows the impact of papers produced by Ravikumar Manickam. 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 Ravikumar Manickam. The network helps show where Ravikumar Manickam may publish in the future.
Co-authors
The 25 scholars most cited alongside Ravikumar Manickam, 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 | 2020 | 83 | |
| 2 | 2016 | 68 | |
| 3 | 2014 | 60 | |
| 4 | 2018 | 55 | |
| 5 | 2022 | 40 | |
| 6 | 2022 | 25 | |
| 7 | 2015 | 21 | |
| 8 | 2011 | 20 | |
| 9 | 2008 | 16 | |
| 10 | 2022 | 13 | |
| 11 | 2019 | 12 | |
| 12 | 2025 | 8 | |
| 13 | 2021 | 7 | |
| 14 | 2023 | 5 | |
| 15 | 2025 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2023 | 1 | |
| 18 | 2024 | 0 |
About Ravikumar Manickam
Ravikumar Manickam is a scholar working on Geriatrics and Gerontology, Physiology, Molecular Biology, Cell Biology and Genetics, having authored 18 papers that have together received 441 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (6 papers), Adipose Tissue and Metabolism (6 papers), Sirtuins and Resveratrol in Medicine (4 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Mitochondrial Function and Pathology (2 papers), Muscle metabolism and nutrition (2 papers), PARP inhibition in cancer therapy (2 papers) and Cardiac Ischemia and Reperfusion (2 papers). The work is most often cited by research in Geriatrics and Gerontology (40 citations), Physiology (169 citations), Aging (7 citations), Rehabilitation (23 citations) and Molecular Biology (243 citations). Ravikumar Manickam has collaborated with scholars based in United States, Singapore and Switzerland. Frequent co-authors include Walter Wahli, Kalina Duszka, Srinivas M. Tipparaju, Chek Kun Tan, Marco A. P. Brotto, Xiaojia Ge, Ravi Kambadur, Sabeera Bonala, Mridula Sharma and Craig McFarlane. Their work appears in journals such as International Journal of Molecular Sciences, Molecular and Cellular Biochemistry, Canadian Journal of Physiology and Pharmacology, Biology of Reproduction and Biochimie.
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.