Feifei Wu
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- RNA modifications and cancer 6
- Circular RNAs in diseases 4
- Mitochondrial Function and Pathology 4
- Genomics and Phylogenetic Studies 3
- Plant Gene Expression Analysis 3
- Immunology 10
- Co-authors
- Shuying Li (4 shared papers)Liji Jin (4 shared papers)Huaqiang Li (4 shared papers)Yongping Xu (4 shared papers)Jiansong You (2 shared papers)Longxuan Li (2 shared papers)Liying Cai (2 shared papers)Mei Jiang (2 shared papers)
- Journals
- Frontiers in Pharmacology (3 papers)Scientific Reports (2 papers)Bio-Design and Manufacturing (2 papers)International Journal of Oncology (2 papers)Journal of Ethnopharmacology (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Feifei Wu
52 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 117
- Cancer Research 316
- Neurology 116
- Molecular Biology 767
- Immunology 213
- Biological Psychiatry 19
Countries citing papers authored by Feifei Wu
This map shows the geographic impact of Feifei 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 Feifei Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feifei Wu more than expected).
Fields of papers citing papers by Feifei Wu
This network shows the impact of papers produced by Feifei 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 Feifei Wu. The network helps show where Feifei Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Feifei 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 259 | |
| 2 | 2012 | 150 | |
| 3 | 2013 | 46 | |
| 4 | 2017 | 46 | |
| 5 | 2021 | 45 | |
| 6 | 2023 | 43 | |
| 7 | 2015 | 41 | |
| 8 | 2016 | 41 | |
| 9 | 2015 | 39 | |
| 10 | 2020 | 37 | |
| 11 | 2024 | 37 | |
| 12 | 2016 | 37 | |
| 13 | 2016 | 34 | |
| 14 | 2015 | 30 | |
| 15 | 2014 | 28 | |
| 16 | 2022 | 28 | |
| 17 | 2021 | 27 | |
| 18 | 2018 | 25 | |
| 19 | 2020 | 25 | |
| 20 | 2018 | 21 |
About Feifei Wu
Feifei Wu is a scholar working on Molecular Biology, Immunology, Cancer Research, Oncology and Pathology and Forensic Medicine, having authored 61 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA modifications and cancer (6 papers), Cancer-related molecular mechanisms research (6 papers), Circular RNAs in diseases (4 papers), Mitochondrial Function and Pathology (4 papers), CAR-T cell therapy research (4 papers), MicroRNA in disease regulation (4 papers), Genomics and Phylogenetic Studies (3 papers) and Plant Gene Expression Analysis (3 papers). The work is most often cited by research in Cancer Research (316 citations), Neurology (116 citations), Molecular Biology (767 citations), Immunology (213 citations) and Biological Psychiatry (19 citations). Feifei Wu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Shuying Li, Liji Jin, Huaqiang Li, Yongping Xu, Jiansong You, Longxuan Li, Liying Cai, Mei Jiang, Xuelian Yang and Yufeng Jiang. Their work appears in journals such as Frontiers in Pharmacology, Scientific Reports, Bio-Design and Manufacturing, International Journal of Oncology and Journal of Ethnopharmacology.
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.