Fei Wu
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
-
- Nuclear Receptors and Signaling
Papers in
- Surgery 13
- Co-authors
- Stephen Safe (6 shared papers)Zhibo Sun (5 shared papers)Minyi Zhang (13 shared papers)Bo Bai (4 shared papers)Jian Qiu (2 shared papers)Baohua Cheng (3 shared papers)Yili Wu (2 shared papers)Zejin Ou (6 shared papers)
- Journals
- International Journal of Oncology (3 papers)Cell Biology International (3 papers)BMC Public Health (3 papers)Human Vaccines & Immunotherapeutics (2 papers)The Journal of Steroid Biochemistry and Molecular Biology (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Fei Wu
76 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 129
- Cancer Research 259
- Cellular and Molecular Neuroscience 127
- Health 51
- Molecular Biology 461
- Pharmacology 90
Countries citing papers authored by Fei Wu
This map shows the geographic impact of Fei 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 Fei Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Wu more than expected).
Fields of papers citing papers by Fei Wu
This network shows the impact of papers produced by Fei 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 Fei Wu. The network helps show where Fei Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 109 | |
| 2 | 2018 | 71 | |
| 3 | 2018 | 54 | |
| 4 | 2017 | 52 | |
| 5 | 2013 | 45 | |
| 6 | 2020 | 43 | |
| 7 | 2022 | 43 | |
| 8 | 2016 | 42 | |
| 9 | 2019 | 41 | |
| 10 | 2017 | 38 | |
| 11 | 2022 | 37 | |
| 12 | 2021 | 35 | |
| 13 | 2003 | 32 | |
| 14 | 2008 | 30 | |
| 15 | 2021 | 30 | |
| 16 | 2018 | 29 | |
| 17 | 2019 | 28 | |
| 18 | BQ-869, a novel NMDA receptor antagonist, protects against excitotoxicity and attenuates cerebral ischemic injury in stroke. | 2015 | 26 |
| 19 | 2017 | 25 | |
| 20 | 2020 | 23 |
About Fei Wu
Fei Wu is a scholar working on Molecular Biology, Surgery, Cancer Research, Infectious Diseases and Cellular and Molecular Neuroscience, having authored 79 papers that have together received 1.4k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), Estrogen and related hormone effects (5 papers), Osteoarthritis Treatment and Mechanisms (4 papers), Nerve injury and regeneration (4 papers), Cancer-related molecular mechanisms research (4 papers), Influenza Virus Research Studies (4 papers), Apelin-related biomedical research (4 papers) and COVID-19 epidemiological studies (4 papers). The work is most often cited by research in Cancer Research (259 citations), Cellular and Molecular Neuroscience (127 citations), Health (51 citations), Molecular Biology (461 citations) and Pharmacology (90 citations). Fei Wu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Stephen Safe, Zhibo Sun, Minyi Zhang, Bo Bai, Jian Qiu, Baohua Cheng, Yili Wu, Zejin Ou, Qiushuang Li and Huan He. Their work appears in journals such as International Journal of Oncology, Cell Biology International, BMC Public Health, Human Vaccines & Immunotherapeutics and The Journal of Steroid Biochemistry and Molecular Biology.
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.