Shu‐Chi Wang
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
Papers in
- Hepatology 17
- Hepatitis C virus research 14
- Hepatocellular Carcinoma Treatment and Prognosis 4
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- MicroRNA in disease regulation 4
- Co-authors
- Chi‐Shiun Chiang (9 shared papers)Ji‐Hong Hong (6 shared papers)Chia‐Yang Li (45 shared papers)Wei‐Chung Cheng (24 shared papers)Po‐Len Liu (25 shared papers)Ching‐Fang Yu (3 shared papers)George T.Y. Chen (6 shared papers)Chuen Hsueh (1 shared paper)
- Journals
- Scientific Reports (8 papers)International Journal of Molecular Sciences (4 papers)PLoS ONE (4 papers)Frontiers in Pharmacology (4 papers)Biomedicine & Pharmacotherapy (4 papers)
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Shu‐Chi Wang
89 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 101
- Genetics 261
- Cancer Research 259
- Hepatology 154
- Drug Discovery 4
- Oncology 275
Countries citing papers authored by Shu‐Chi Wang
This map shows the geographic impact of Shu‐Chi Wang'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 Shu‐Chi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu‐Chi Wang more than expected).
Fields of papers citing papers by Shu‐Chi Wang
This network shows the impact of papers produced by Shu‐Chi Wang. 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 Shu‐Chi Wang. The network helps show where Shu‐Chi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shu‐Chi Wang, 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 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 179 | |
| 2 | 2012 | 179 | |
| 3 | 2011 | 154 | |
| 4 | 2019 | 153 | |
| 5 | 2017 | 137 | |
| 6 | 2013 | 102 | |
| 7 | 2018 | 75 | |
| 8 | 2018 | 68 | |
| 9 | 2021 | 56 | |
| 10 | 2010 | 55 | |
| 11 | 2019 | 51 | |
| 12 | 2010 | 47 | |
| 13 | 2006 | 41 | |
| 14 | 2018 | 38 | |
| 15 | 2022 | 38 | |
| 16 | 2016 | 35 | |
| 17 | 2021 | 32 | |
| 18 | 2021 | 30 | |
| 19 | 2021 | 30 | |
| 20 | 2023 | 28 |
About Shu‐Chi Wang
Shu‐Chi Wang is a scholar working on Hepatology, Cancer Research, Genetics, Pulmonary and Respiratory Medicine and Pharmacology, having authored 91 papers that have together received 2.2k indexed citations. Recurring topics across this work include Hepatitis C virus research (14 papers), Prostate Cancer Treatment and Research (9 papers), Glioma Diagnosis and Treatment (7 papers), Inflammasome and immune disorders (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Hepatitis B Virus Studies (4 papers), Bladder and Urothelial Cancer Treatments (4 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Genetics (261 citations), Cancer Research (259 citations), Hepatology (154 citations), Drug Discovery (4 citations) and Oncology (275 citations). Shu‐Chi Wang has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Chi‐Shiun Chiang, Ji‐Hong Hong, Chia‐Yang Li, Wei‐Chung Cheng, Po‐Len Liu, Ching‐Fang Yu, George T.Y. Chen, Chuen Hsueh, Chia‐Cheng Su and Shih‐Hua Fang. Their work appears in journals such as Scientific Reports, International Journal of Molecular Sciences, PLoS ONE, Frontiers in Pharmacology and Biomedicine & Pharmacotherapy.
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.