Thomas K. Sin
Impact in
- Geriatrics and Gerontology top 2%
- Sirtuins and Resveratrol in Medicine
- Aging top 10%
Papers in
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- Muscle Physiology and Disorders 7
- Metabolism, Diabetes, and Cancer 2
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- Sirtuins and Resveratrol in Medicine 8
- Co-authors
- Parco M. Siu (15 shared papers)Benjamin Yat‐Ming Yung (14 shared papers)Sze Chuen Cesar Wong (13 shared papers)Lawrence Chan (12 shared papers)Shea Ping Yip (10 shared papers)Angus P. Yu (8 shared papers)John A. Rudd (5 shared papers)Michael Ying (4 shared papers)
- Journals
- The Journal of Physiology (3 papers)Frontiers in Physiology (3 papers)Acta Physiologica (2 papers)Biochemical and Biophysical Research Communications (2 papers)Cancer Research (2 papers)
- Partner nations
- Hong KongUnited StatesChina
In The Last Decade
Thomas K. Sin
22 papers receiving 641 citations
Peers
Comparison fields: 5 of 77
- Geriatrics and Gerontology 191
- Aging 28
- Physiology 35
- Physiology 186
- Rehabilitation 47
Countries citing papers authored by Thomas K. Sin
This map shows the geographic impact of Thomas K. Sin'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 Thomas K. Sin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas K. Sin more than expected).
Fields of papers citing papers by Thomas K. Sin
This network shows the impact of papers produced by Thomas K. Sin. 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 Thomas K. Sin. The network helps show where Thomas K. Sin may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas K. Sin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 116 | |
| 2 | 2015 | 92 | |
| 3 | 2014 | 79 | |
| 4 | 2014 | 47 | |
| 5 | 2016 | 40 | |
| 6 | 2020 | 26 | |
| 7 | 2015 | 26 | |
| 8 | 2015 | 26 | |
| 9 | 2015 | 25 | |
| 10 | 2018 | 23 | |
| 11 | 2013 | 22 | |
| 12 | 2016 | 21 | |
| 13 | 2015 | 18 | |
| 14 | 2017 | 18 | |
| 15 | 2019 | 18 | |
| 16 | 2019 | 13 | |
| 17 | 2018 | 12 | |
| 18 | 2020 | 8 | |
| 19 | 2014 | 5 | |
| 20 | 2021 | 4 |
About Thomas K. Sin
Thomas K. Sin is a scholar working on Molecular Biology, Geriatrics and Gerontology, Physiology, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 22 papers that have together received 645 indexed citations. Recurring topics across this work include Sirtuins and Resveratrol in Medicine (8 papers), Muscle Physiology and Disorders (7 papers), Autophagy in Disease and Therapy (5 papers), Adipose Tissue and Metabolism (4 papers), Calcium signaling and nucleotide metabolism (4 papers), Chemotherapy-induced cardiotoxicity and mitigation (4 papers), Nutrition and Health in Aging (3 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Geriatrics and Gerontology (191 citations), Aging (28 citations), Physiology (35 citations), Physiology (186 citations) and Rehabilitation (47 citations). Thomas K. Sin has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Parco M. Siu, Benjamin Yat‐Ming Yung, Sze Chuen Cesar Wong, Lawrence Chan, Shea Ping Yip, Angus P. Yu, John A. Rudd, Michael Ying, Bjorn T. Tam and Yi‐Ping Li. Their work appears in journals such as The Journal of Physiology, Frontiers in Physiology, Acta Physiologica, Biochemical and Biophysical Research Communications and Cancer Research.
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.