Chee Woon Wang
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Biochemistry top 10%
- Phytochemicals and Antioxidant Activities
Papers in
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- Circular RNAs in diseases 4
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- Biochemical Analysis and Sensing Techniques 2
- Co-authors
- Chee Wei Law (3 shared papers)Kandiah Jeyaseelan (3 shared papers)Arunmozhiarasi Armugam (3 shared papers)Kay Sin Tan (2 shared papers)Sugunavathi Sepramaniam (1 shared paper)K. Y. Lim (1 shared paper)Zheng Feei (3 shared papers)Hongxia Zhang (2 shared papers)
In The Last Decade
Chee Woon Wang
15 papers receiving 936 citations
Peers
Comparison fields: 5 of 87
- Cancer Research 444
- Biochemistry 55
- Molecular Biology 445
- Nutrition and Dietetics 89
- Neurology 45
Countries citing papers authored by Chee Woon Wang
This map shows the geographic impact of Chee Woon 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 Chee Woon Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chee Woon Wang more than expected).
Fields of papers citing papers by Chee Woon Wang
This network shows the impact of papers produced by Chee Woon 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 Chee Woon Wang. The network helps show where Chee Woon Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chee Woon 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
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 344 | |
| 2 | 2013 | 159 | |
| 3 | 2018 | 124 | |
| 4 | 2019 | 105 | |
| 5 | 2013 | 53 | |
| 6 | 2022 | 37 | |
| 7 | 2014 | 29 | |
| 8 | 2022 | 28 | |
| 9 | 2022 | 23 | |
| 10 | 2012 | 16 | |
| 11 | 2022 | 16 | |
| 12 | 2017 | 13 | |
| 13 | 2024 | 6 | |
| 14 | 2019 | 5 | |
| 15 | Mitochondrial neurogastrointestinal encephalomyo- pathy (MNGIE) in a Malaysian patient with a novel mutation in thymidine phosphorylase gene: A case report | 2012 | 1 |
About Chee Woon Wang
Chee Woon Wang is a scholar working on Molecular Biology, Nutrition and Dietetics, Cancer Research, Pharmacology and Plant Science, having authored 15 papers that have together received 959 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Circular RNAs in diseases (4 papers), Cancer-related molecular mechanisms research (4 papers), Piperaceae Chemical and Biological Studies (3 papers), Phytochemicals and Antioxidant Activities (2 papers), Biochemical Analysis and Sensing Techniques (2 papers), Essential Oils and Antimicrobial Activity (2 papers) and Mangiferin and Mango Extracts (1 paper). The work is most often cited by research in Cancer Research (444 citations), Biochemistry (55 citations), Molecular Biology (445 citations), Nutrition and Dietetics (89 citations) and Neurology (45 citations). Chee Woon Wang has collaborated with scholars based in Malaysia, China and Singapore. Frequent co-authors include Chee Wei Law, Kandiah Jeyaseelan, Arunmozhiarasi Armugam, Kay Sin Tan, Sugunavathi Sepramaniam, K. Y. Lim, Zheng Feei, Hongxia Zhang, Muhammad Shahzad and Yang Cao. Their work appears in journals such as International Journal of Molecular Sciences, PLoS ONE, Antioxidants, Journal of Integrative Medicine and Applied Biochemistry and Biotechnology.
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.