Feifeng Wu
Impact in
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- MicroRNA in disease regulation
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- Ammonia Synthesis and Nitrogen Reduction
Papers in
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- Extracellular vesicles in disease 10
- Circular RNAs in diseases 3
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- Machine Learning in Materials Science 4
- Co-authors
- Chuan Wen (22 shared papers)Cuifang Li (12 shared papers)Zhou She (8 shared papers)Wuqing Wan (6 shared papers)Min Xie (4 shared papers)Zhiwen Chen (1 shared paper)Junquan Zhu (11 shared papers)Xiaoyu Chen (1 shared paper)
- Journals
- Frontiers in Immunology (7 papers)Computational Materials Science (3 papers)Autoimmunity Reviews (3 papers)Stem Cell Research & Therapy (3 papers)Frontiers in Pediatrics (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Feifeng Wu
35 papers receiving 405 citations
Peers
Comparison fields: 5 of 97
- Cancer Research 88
- Catalysis 30
- Immunology 79
- Energy Engineering and Power Technology 10
- Molecular Biology 177
Countries citing papers authored by Feifeng Wu
This map shows the geographic impact of Feifeng 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 Feifeng Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feifeng Wu more than expected).
Fields of papers citing papers by Feifeng Wu
This network shows the impact of papers produced by Feifeng 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 Feifeng Wu. The network helps show where Feifeng Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Feifeng 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 74 | |
| 2 | 2015 | 47 | |
| 3 | 2021 | 30 | |
| 4 | 2021 | 29 | |
| 5 | 2007 | 29 | |
| 6 | 2022 | 18 | |
| 7 | 2022 | 18 | |
| 8 | 2023 | 16 | |
| 9 | 2022 | 15 | |
| 10 | 2024 | 11 | |
| 11 | 2021 | 11 | |
| 12 | 2024 | 10 | |
| 13 | 2014 | 10 | |
| 14 | 2023 | 9 | |
| 15 | 2024 | 9 | |
| 16 | 2023 | 8 | |
| 17 | 2024 | 7 | |
| 18 | 2024 | 7 | |
| 19 | 2023 | 7 | |
| 20 | 2020 | 5 |
About Feifeng Wu
Feifeng Wu is a scholar working on Molecular Biology, Materials Chemistry, Immunology, Cancer Research and Rheumatology, having authored 40 papers that have together received 412 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (10 papers), MicroRNA in disease regulation (4 papers), Machine Learning in Materials Science (4 papers), Circular RNAs in diseases (3 papers), Immune Cell Function and Interaction (3 papers), Systemic Lupus Erythematosus Research (3 papers), Vitamin D Research Studies (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Cancer Research (88 citations), Catalysis (30 citations), Immunology (79 citations), Energy Engineering and Power Technology (10 citations) and Molecular Biology (177 citations). Feifeng Wu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Chuan Wen, Cuifang Li, Zhou She, Wuqing Wan, Min Xie, Zhiwen Chen, Junquan Zhu, Xiaoyu Chen, Haotian Xie and Mingrong Cao. Their work appears in journals such as Frontiers in Immunology, Computational Materials Science, Autoimmunity Reviews, Stem Cell Research & Therapy and Frontiers in Pediatrics.
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.