Fei Xing
Impact in
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- interferon and immune responses
- Immune Response and Inflammation
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- Wound Healing and Treatments
Papers in
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- Ubiquitin and proteasome pathways 3
- RNA regulation and disease 2
- Histone Deacetylase Inhibitors Research 2
- Oncology 11
- Cytokine Signaling Pathways and Interactions 5
- CAR-T cell therapy research 2
- Pancreatic and Hepatic Oncology Research 2
- Co-authors
- Songyun Zhang (2 shared papers)Huaijun Liu (2 shared papers)Chunxia Wang (2 shared papers)Hongli Gao (5 shared papers)Xin Guan (4 shared papers)Tadaatsu Imaizumi (8 shared papers)Hidemi Yoshida (8 shared papers)Jinqi Xue (2 shared papers)
- Journals
- Neuroscience Research (3 papers)The Journal of Immunology (2 papers)PLoS ONE (2 papers)American Journal of Nephrology (1 paper)International Journal of Biological Macromolecules (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Fei Xing
24 papers receiving 394 citations
Peers
Comparison fields: 5 of 81
- Immunology 93
- Rehabilitation 19
- Neurology 21
- Molecular Biology 175
- Oncology 65
Countries citing papers authored by Fei Xing
This map shows the geographic impact of Fei Xing'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 Xing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Xing more than expected).
Fields of papers citing papers by Fei Xing
This network shows the impact of papers produced by Fei Xing. 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 Xing. The network helps show where Fei Xing may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei Xing, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 59 | |
| 2 | 2014 | 48 | |
| 3 | 2014 | 43 | |
| 4 | 2024 | 31 | |
| 5 | 2014 | 28 | |
| 6 | 2024 | 26 | |
| 7 | 2014 | 23 | |
| 8 | 2013 | 22 | |
| 9 | 2016 | 17 | |
| 10 | 2024 | 12 | |
| 11 | 2024 | 12 | |
| 12 | 2015 | 12 | |
| 13 | 2013 | 12 | |
| 14 | 2013 | 12 | |
| 15 | 2011 | 11 | |
| 16 | 2016 | 10 | |
| 17 | 1994 | 8 | |
| 18 | 2015 | 4 | |
| 19 | 2025 | 4 | |
| 20 | 2025 | 2 |
About Fei Xing
Fei Xing is a scholar working on Molecular Biology, Oncology, Immunology, Radiology, Nuclear Medicine and Imaging and Plant Science, having authored 24 papers that have together received 401 indexed citations. Recurring topics across this work include interferon and immune responses (7 papers), Cytokine Signaling Pathways and Interactions (5 papers), Immune Response and Inflammation (5 papers), Ubiquitin and proteasome pathways (3 papers), CAR-T cell therapy research (2 papers), RNA regulation and disease (2 papers), Histone Deacetylase Inhibitors Research (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Immunology (93 citations), Rehabilitation (19 citations), Neurology (21 citations), Molecular Biology (175 citations) and Oncology (65 citations). Fei Xing has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Songyun Zhang, Huaijun Liu, Chunxia Wang, Hongli Gao, Xin Guan, Tadaatsu Imaizumi, Hidemi Yoshida, Jinqi Xue, Tomoh Matsumiya and Ryo Hayakari. Their work appears in journals such as Neuroscience Research, The Journal of Immunology, PLoS ONE, American Journal of Nephrology and International Journal of Biological Macromolecules.
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.