Xiang Fei
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Rehabilitation top 5%
- Wound Healing and Treatments
Papers in
-
- MicroRNA in disease regulation 13
- Cancer-related molecular mechanisms research 12
-
- Wound Healing and Treatments 7
- Co-authors
- Kefeng WangJianglin TanGaoxing LuoTengfei LiuChengzhou WuZhengwei MaoBowen XiaoXiaoyuan Chen
- Journals
- Saudi Journal of Biological Sciences (3 papers)Frontiers in Cell and Developmental Biology (2 papers)OncoTargets and Therapy (2 papers)Burns (2 papers)Shock (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xiang Fei
76 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Cancer Research 949
- Rehabilitation 157
- Molecular Biology 1.5k
- Neurology 93
- Nephrology 75
Countries citing papers authored by Xiang Fei
This map shows the geographic impact of Xiang Fei'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 Xiang Fei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiang Fei more than expected).
Fields of papers citing papers by Xiang Fei
This network shows the impact of papers produced by Xiang Fei. 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 Xiang Fei. The network helps show where Xiang Fei may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiang Fei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2022 | 50 | |
| 5 | 2021 | 97 | |
| 6 | 2021 | 12 | |
| 7 | 2020 | 23 | |
| 8 | 2020 | 8 | |
| 9 | 2020 | 7 | |
| 10 | 2020 | 1 | |
| 11 | 2020 | 37 | |
| 12 | Ultrasmall copper-based nanoparticles for reactive oxygen species scavenging and alleviation of inflammation related diseases Hit paper breakdown → | 2020 | 716 |
| 13 | 2019 | 73 | |
| 14 | 2017 | 41 | |
| 15 | 2017 | 67 | |
| 16 | 2012 | 20 | |
| 17 | 2012 | 16 | |
| 18 | 2011 | 10 | |
| 19 | 2007 | 19 | |
| 20 | Clone of s-lap gene coding area,a novel light injury-related gene from RPE cell of pig and expression and localization of s-lap/GFP fusion protein in B16 melanoma cell lines | 2005 | 0 |
About Xiang Fei
Xiang Fei is a scholar working on Cancer Research, Rehabilitation, Molecular Biology, Developmental Neuroscience and Cell Biology, having authored 79 papers that have together received 2.7k indexed citations. Recurring topics across this work include Circular RNAs in diseases (13 papers), MicroRNA in disease regulation (13 papers), Cancer-related molecular mechanisms research (12 papers), RNA modifications and cancer (8 papers), Wound Healing and Treatments (7 papers), Mitochondrial Function and Pathology (7 papers), Epigenetics and DNA Methylation (6 papers) and Burn Injury Management and Outcomes (6 papers). The work is most often cited by research in Cancer Research (949 citations), Rehabilitation (157 citations), Molecular Biology (1.5k citations), Neurology (93 citations) and Nephrology (75 citations). Xiang Fei has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Kefeng Wang, Jianglin Tan, Gaoxing Luo, Tengfei Liu, Chengzhou Wu, Zhengwei Mao, Bowen Xiao, Xiaoyuan Chen, Zhuo Chen and Xiaorong Zhang. Their work appears in journals such as Saudi Journal of Biological Sciences, Frontiers in Cell and Developmental Biology, OncoTargets and Therapy, Burns and Shock.
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.