Sung-Ting Chuang
Impact in
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- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
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- Mechanisms of cancer metastasis 3
- Chromatin Remodeling and Cancer 2
- Surgery 4
- Pancreatic function and diabetes 3
- Co-authors
- Ming‐Jai Su (4 shared papers)Yueh‐Hsiung Kuo (4 shared papers)Péter Buchwald (6 shared papers)José Manuel Cóndor Capcha (2 shared papers)Lina A. Shehadeh (2 shared papers)Óscar Garnica (3 shared papers)Damir Bojadzic (1 shared paper)Horng‐Heng Juang (3 shared papers)
- Journals
- European Journal of Pharmacology (2 papers)Pharmaceuticals (2 papers)Experimental Biology and Medicine (1 paper)Nature Communications (1 paper)Pharmaceutics (1 paper)
- Partner nations
- TaiwanUnited StatesHungary
In The Last Decade
Sung-Ting Chuang
17 papers receiving 414 citations
Peers
Comparison fields: 5 of 76
- Infectious Diseases 72
- Geriatrics and Gerontology 11
- Nephrology 20
- Computational Theory and Mathematics 45
- Molecular Biology 178
Countries citing papers authored by Sung-Ting Chuang
This map shows the geographic impact of Sung-Ting Chuang'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 Sung-Ting Chuang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung-Ting Chuang more than expected).
Fields of papers citing papers by Sung-Ting Chuang
This network shows the impact of papers produced by Sung-Ting Chuang. 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 Sung-Ting Chuang. The network helps show where Sung-Ting Chuang may publish in the future.
Co-authors
The 25 scholars most cited alongside Sung-Ting Chuang, 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 | 2021 | 87 | |
| 2 | 2016 | 43 | |
| 3 | 2019 | 40 | |
| 4 | 2017 | 34 | |
| 5 | 2016 | 31 | |
| 6 | 2017 | 31 | |
| 7 | 2015 | 27 | |
| 8 | 2012 | 26 | |
| 9 | 2016 | 23 | |
| 10 | 2014 | 18 | |
| 11 | 2017 | 16 | |
| 12 | 2022 | 14 | |
| 13 | 2021 | 10 | |
| 14 | 2022 | 8 | |
| 15 | 2012 | 7 | |
| 16 | 2024 | 3 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 0 |
About Sung-Ting Chuang
Sung-Ting Chuang is a scholar working on Molecular Biology, Surgery, Infectious Diseases, Computational Theory and Mathematics and Nephrology, having authored 18 papers that have together received 419 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Mechanisms of cancer metastasis (3 papers), Pancreatic function and diabetes (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Diabetes and associated disorders (2 papers), Chronic Kidney Disease and Diabetes (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Chromatin Remodeling and Cancer (2 papers). The work is most often cited by research in Infectious Diseases (72 citations), Geriatrics and Gerontology (11 citations), Nephrology (20 citations), Computational Theory and Mathematics (45 citations) and Molecular Biology (178 citations). Sung-Ting Chuang has collaborated with scholars based in Taiwan, United States and Hungary. Frequent co-authors include Ming‐Jai Su, Yueh‐Hsiung Kuo, Péter Buchwald, José Manuel Cóndor Capcha, Lina A. Shehadeh, Óscar Garnica, Damir Bojadzic, Horng‐Heng Juang, Tsui‐Hsia Feng and Ke‐Hung Tsui. Their work appears in journals such as European Journal of Pharmacology, Pharmaceuticals, Experimental Biology and Medicine, Nature Communications and Pharmaceutics.
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.