Chuangyan Wu
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- RNA modifications and cancer 6
- Cancer-related gene regulation 5
- Signaling Pathways in Disease 3
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- Ferroptosis and cancer prognosis 4
- Co-authors
- Sihua Wang (12 shared papers)Song Tong (8 shared papers)Jiuling Chen (11 shared papers)Xiangchao Ding (16 shared papers)Jie Wu (10 shared papers)Anchen Zhang (11 shared papers)Xiaofan Huang (8 shared papers)Yu Yuan (1 shared paper)
- Journals
- Scientific Reports (3 papers)Aging (3 papers)Journal of the American Heart Association (3 papers)International Immunopharmacology (2 papers)The Journal of Heart and Lung Transplantation (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Chuangyan Wu
33 papers receiving 671 citations
Peers
Comparison fields: 5 of 92
- Cancer Research 177
- Immunology 118
- Infectious Diseases 101
- Molecular Biology 343
- Cardiology and Cardiovascular Medicine 87
Countries citing papers authored by Chuangyan Wu
This map shows the geographic impact of Chuangyan 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 Chuangyan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chuangyan Wu more than expected).
Fields of papers citing papers by Chuangyan Wu
This network shows the impact of papers produced by Chuangyan 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 Chuangyan Wu. The network helps show where Chuangyan Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chuangyan 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 121 | |
| 2 | 2018 | 59 | |
| 3 | 2018 | 59 | |
| 4 | 2014 | 59 | |
| 5 | 2016 | 41 | |
| 6 | 2016 | 40 | |
| 7 | 2019 | 32 | |
| 8 | 2020 | 31 | |
| 9 | 2020 | 25 | |
| 10 | 2018 | 18 | |
| 11 | 2016 | 17 | |
| 12 | 2014 | 15 | |
| 13 | 2020 | 14 | |
| 14 | 2022 | 14 | |
| 15 | 2018 | 14 | |
| 16 | 2018 | 13 | |
| 17 | 2017 | 12 | |
| 18 | 2022 | 10 | |
| 19 | 2022 | 8 | |
| 20 | 2020 | 8 |
About Chuangyan Wu
Chuangyan Wu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Immunology and Oncology, having authored 37 papers that have together received 675 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (8 papers), RNA modifications and cancer (6 papers), Cancer-related gene regulation (5 papers), Cancer-related molecular mechanisms research (5 papers), Ferroptosis and cancer prognosis (4 papers), Signaling Pathways in Disease (3 papers), Cell Adhesion Molecules Research (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Cancer Research (177 citations), Immunology (118 citations), Infectious Diseases (101 citations), Molecular Biology (343 citations) and Cardiology and Cardiovascular Medicine (87 citations). Chuangyan Wu has collaborated with scholars based in China and United States. Frequent co-authors include Sihua Wang, Song Tong, Jiuling Chen, Xiangchao Ding, Jie Wu, Anchen Zhang, Xiaofan Huang, Yu Yuan, Su Yuan and Jinjun Jiang. Their work appears in journals such as Scientific Reports, Aging, Journal of the American Heart Association, International Immunopharmacology and The Journal of Heart and Lung Transplantation.
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.