Chunli Wu
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 10%
- Extracellular vesicles in disease
- RNA modifications and cancer
- Circular RNAs in diseases
Papers in
-
- RNA modifications and cancer 7
- Cancer therapeutics and mechanisms 6
- Oncology 18
- Pancreatic and Hepatic Oncology Research 5
- Co-authors
- Mei Ming (3 shared papers)Liang Yang (3 shared papers)Lei Qiang (2 shared papers)Benoı̂t Viollet (2 shared papers)Yu‐Ying He (3 shared papers)Qing Fan (3 shared papers)Xueqiang Peng (1 shared paper)Xiaodong Zhang (1 shared paper)
- Journals
- European Journal of Medicinal Chemistry (4 papers)Scientific Reports (3 papers)Molecular Immunology (3 papers)Annals of Translational Medicine (3 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Chunli Wu
82 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 116
- Cancer Research 356
- Molecular Biology 907
- Hepatology 79
- Pharmacology 78
- Epidemiology 282
Countries citing papers authored by Chunli Wu
This map shows the geographic impact of Chunli 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 Chunli Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunli Wu more than expected).
Fields of papers citing papers by Chunli Wu
This network shows the impact of papers produced by Chunli 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 Chunli Wu. The network helps show where Chunli Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chunli 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 223 | |
| 2 | 2012 | 92 | |
| 3 | 2012 | 82 | |
| 4 | 2017 | 78 | |
| 5 | 2009 | 75 | |
| 6 | 2018 | 53 | |
| 7 | 2021 | 43 | |
| 8 | 2017 | 40 | |
| 9 | 2012 | 38 | |
| 10 | 2021 | 38 | |
| 11 | 2014 | 35 | |
| 12 | 2014 | 33 | |
| 13 | 2012 | 33 | |
| 14 | 2022 | 31 | |
| 15 | 2019 | 31 | |
| 16 | 2020 | 31 | |
| 17 | 2020 | 29 | |
| 18 | 2022 | 28 | |
| 19 | 2014 | 28 | |
| 20 | 2023 | 27 |
About Chunli Wu
Chunli Wu is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Organic Chemistry, having authored 85 papers that have together received 1.6k indexed citations. Recurring topics across this work include RNA modifications and cancer (7 papers), Synthesis and biological activity (7 papers), Cancer-related molecular mechanisms research (7 papers), Cancer therapeutics and mechanisms (6 papers), Ferroptosis and cancer prognosis (6 papers), Pancreatic and Hepatic Oncology Research (5 papers), Synthesis and Biological Evaluation (5 papers) and Pharmacological Effects of Natural Compounds (4 papers). The work is most often cited by research in Cancer Research (356 citations), Molecular Biology (907 citations), Hepatology (79 citations), Pharmacology (78 citations) and Epidemiology (282 citations). Chunli Wu has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Mei Ming, Liang Yang, Lei Qiang, Benoı̂t Viollet, Yu‐Ying He, Qing Fan, Xueqiang Peng, Xiaodong Zhang, Yingbo Ma and Jingang Liu. Their work appears in journals such as European Journal of Medicinal Chemistry, Scientific Reports, Molecular Immunology, Annals of Translational Medicine and Journal of Biological 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.