Dongryeol Ryu
Impact in
- Aging top 0.1%
- Genetics, Aging, and Longevity in Model Organisms
- Geriatrics and Gerontology top 0.05%
- Sirtuins and Resveratrol in Medicine
Papers in
-
- Sirtuins and Resveratrol in Medicine 12
- Aging 6
- Co-authors
- Johan AuwerxRiekelt H. HoutkooperNorman MoullanLaurent MouchiroudElena KatsyubaKristina SchoonjansXu WangKarim Gariani
- Journals
- Experimental & Molecular Medicine (9 papers)BMB Reports (9 papers)Nature Communications (6 papers)Journal of Cachexia Sarcopenia and Muscle (6 papers)Cell Metabolism (4 papers)
- Partner nations
- South KoreaSwitzerlandUnited States
In The Last Decade
Dongryeol Ryu
112 papers receiving 9.3k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Aging 903
- Geriatrics and Gerontology 2.0k
- Physiology 591
- Physiology 2.8k
- Biological Psychiatry 237
Countries citing papers authored by Dongryeol Ryu
This map shows the geographic impact of Dongryeol Ryu'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 Dongryeol Ryu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongryeol Ryu more than expected).
Fields of papers citing papers by Dongryeol Ryu
This network shows the impact of papers produced by Dongryeol Ryu. 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 Dongryeol Ryu. The network helps show where Dongryeol Ryu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dongryeol Ryu, 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 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 9 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 3 | |
| 9 | 2023 | 16 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 9 | |
| 12 | Sarcopenic obesity: epidemiology, pathophysiology, cardiovascular disease, mortality, and management Hit paper breakdown → | 2023 | 115 |
| 13 | 2023 | 7 | |
| 14 | 2021 | 14 | |
| 15 | 2021 | 19 | |
| 16 | 2020 | 31 | |
| 17 | 2019 | 12 | |
| 18 | 2018 | 37 | |
| 19 | NAD + repletion improves mitochondrial and stem cell function and enhances life span in mice Hit paper breakdown → | 2016 | 904 |
| 20 | 2016 | 283 |
About Dongryeol Ryu
Dongryeol Ryu is a scholar working on Geriatrics and Gerontology, Aging, Physiology, Cell Biology and Molecular Biology, having authored 121 papers that have together received 9.4k indexed citations. Recurring topics across this work include Nutrition and Health in Aging (12 papers), Sirtuins and Resveratrol in Medicine (12 papers), Adipose Tissue and Metabolism (12 papers), 3D Printing in Biomedical Research (10 papers), Muscle Physiology and Disorders (10 papers), Pancreatic function and diabetes (9 papers), Autophagy in Disease and Therapy (8 papers) and Metabolism, Diabetes, and Cancer (8 papers). The work is most often cited by research in Aging (903 citations), Geriatrics and Gerontology (2.0k citations), Physiology (591 citations), Physiology (2.8k citations) and Biological Psychiatry (237 citations). Dongryeol Ryu has collaborated with scholars based in South Korea, Switzerland and United States. Frequent co-authors include Johan Auwerx, Riekelt H. Houtkooper, Norman Moullan, Laurent Mouchiroud, Elena Katsyuba, Kristina Schoonjans, Xu Wang, Karim Gariani, Adrienne Mottis and Robert W. Williams. Their work appears in journals such as Experimental & Molecular Medicine, BMB Reports, Nature Communications, Journal of Cachexia Sarcopenia and Muscle and Cell Metabolism.
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.