Charles C.N. Wang
Impact in
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- Cancer-related molecular mechanisms research
Papers in
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- Gene expression and cancer classification 4
- Bioinformatics and Genomic Networks 4
- Oncology 8
- Drug Transport and Resistance Mechanisms 7
- Co-authors
- Jeffrey J. P. Tsai (12 shared papers)Chin‐Chuan Hung (7 shared papers)Chia‐Ying Li (1 shared paper)Phillip C.‐Y. Sheu (9 shared papers)Yu‐Hsuan Lan (2 shared papers)Yun-Ping Lim (5 shared papers)Che‐Yi Chou (7 shared papers)Yu‐Ning Teng (2 shared papers)
- Journals
- Phytomedicine (3 papers)Scientific Reports (3 papers)Journal of Personalized Medicine (2 papers)BMC Emergency Medicine (2 papers)Journal of Agricultural and Food Chemistry (2 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Charles C.N. Wang
43 papers receiving 735 citations
Peers
Comparison fields: 5 of 118
- Cancer Research 88
- Health Informatics 8
- Oncology 119
- Molecular Biology 307
- Toxicology 15
Countries citing papers authored by Charles C.N. Wang
This map shows the geographic impact of Charles C.N. 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 Charles C.N. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles C.N. Wang more than expected).
Fields of papers citing papers by Charles C.N. Wang
This network shows the impact of papers produced by Charles C.N. 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 Charles C.N. Wang. The network helps show where Charles C.N. Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Charles C.N. 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 75 | |
| 2 | 2019 | 65 | |
| 3 | 2022 | 46 | |
| 4 | 2020 | 44 | |
| 5 | 2018 | 40 | |
| 6 | 2021 | 40 | |
| 7 | 2018 | 39 | |
| 8 | 2018 | 34 | |
| 9 | 2020 | 33 | |
| 10 | 2018 | 29 | |
| 11 | 2019 | 27 | |
| 12 | 2021 | 24 | |
| 13 | 2019 | 23 | |
| 14 | 2018 | 21 | |
| 15 | 2020 | 20 | |
| 16 | 2022 | 18 | |
| 17 | 2014 | 17 | |
| 18 | 2016 | 16 | |
| 19 | 2019 | 15 | |
| 20 | 2020 | 14 |
About Charles C.N. Wang
Charles C.N. Wang is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Surgery and Pediatrics, Perinatology and Child Health, having authored 44 papers that have together received 739 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (7 papers), Ferroptosis and cancer prognosis (5 papers), Cholesterol and Lipid Metabolism (4 papers), Gene expression and cancer classification (4 papers), Bioinformatics and Genomic Networks (4 papers), Cancer, Lipids, and Metabolism (3 papers), Computational Drug Discovery Methods (3 papers) and Emergency and Acute Care Studies (2 papers). The work is most often cited by research in Cancer Research (88 citations), Health Informatics (8 citations), Oncology (119 citations), Molecular Biology (307 citations) and Toxicology (15 citations). Charles C.N. Wang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Jeffrey J. P. Tsai, Chin‐Chuan Hung, Chia‐Ying Li, Phillip C.‐Y. Sheu, Yu‐Hsuan Lan, Yun-Ping Lim, Che‐Yi Chou, Yu‐Ning Teng, Hsiao‐Yun Chang and Pin‐Chan Lee. Their work appears in journals such as Phytomedicine, Scientific Reports, Journal of Personalized Medicine, BMC Emergency Medicine and Journal of Agricultural and Food Chemistry.
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.