Chan Wu
Impact in
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- Traditional Chinese Medicine Analysis
- Clinical Biochemistry top 10%
- Advanced Glycation End Products research
Papers in
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- RNA Research and Splicing 7
- RNA modifications and cancer 6
- RNA and protein synthesis mechanisms 5
- Genomics and Chromatin Dynamics 2
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- MicroRNA in disease regulation 5
- Co-authors
- Liang Feng (3 shared papers)Junfei Gu (3 shared papers)Allan Jacobson (7 shared papers)Feng He (5 shared papers)Minghua Zhang (2 shared papers)Maomao Zhu (2 shared papers)Xiaobin Jia (2 shared papers)Xiao‐Bin Jia (1 shared paper)
- Journals
- PLoS Genetics (2 papers)eLife (2 papers)Experimental Neurology (1 paper)Planta Medica (1 paper)International Journal of Pharmaceutics (1 paper)
- Partner nations
- ChinaUnited StatesTürkiye
In The Last Decade
Chan Wu
23 papers receiving 489 citations
Peers
Comparison fields: 5 of 87
- Complementary and alternative medicine 50
- Clinical Biochemistry 39
- Nephrology 32
- Molecular Biology 301
- Pharmacology 31
Countries citing papers authored by Chan Wu
This map shows the geographic impact of Chan Wu'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 Chan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chan Wu more than expected).
Fields of papers citing papers by Chan Wu
This network shows the impact of papers produced by Chan Wu. 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 Chan Wu. The network helps show where Chan Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chan Wu, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 75 | |
| 2 | 2013 | 63 | |
| 3 | 2014 | 58 | |
| 4 | 2014 | 41 | |
| 5 | 2017 | 39 | |
| 6 | 2018 | 36 | |
| 7 | 2020 | 31 | |
| 8 | 2022 | 26 | |
| 9 | 2021 | 24 | |
| 10 | 2019 | 15 | |
| 11 | 2022 | 14 | |
| 12 | 2017 | 13 | |
| 13 | 2021 | 13 | |
| 14 | 2021 | 10 | |
| 15 | 2024 | 7 | |
| 16 | 2018 | 5 | |
| 17 | 2021 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2024 | 4 | |
| 20 | 2023 | 3 |
About Chan Wu
Chan Wu is a scholar working on Molecular Biology, Cancer Research, Clinical Biochemistry, Cell Biology and Genetics, having authored 24 papers that have together received 490 indexed citations. Recurring topics across this work include RNA Research and Splicing (7 papers), RNA modifications and cancer (6 papers), MicroRNA in disease regulation (5 papers), RNA and protein synthesis mechanisms (5 papers), Advanced Glycation End Products research (3 papers), Mesenchymal stem cell research (2 papers), Natural Antidiabetic Agents Studies (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Complementary and alternative medicine (50 citations), Clinical Biochemistry (39 citations), Nephrology (32 citations), Molecular Biology (301 citations) and Pharmacology (31 citations). Chan Wu has collaborated with scholars based in China, United States and Türkiye. Frequent co-authors include Liang Feng, Junfei Gu, Allan Jacobson, Feng He, Minghua Zhang, Maomao Zhu, Xiaobin Jia, Xiao‐Bin Jia, Alper Celik and Dong Qin. Their work appears in journals such as PLoS Genetics, eLife, Experimental Neurology, Planta Medica and International Journal of 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.