Xiaofei Chen
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
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- Genomics, phytochemicals, and oxidative stress
- Circular RNAs in diseases
- RNA modifications and cancer
- Glutathione Transferases and Polymorphisms
Papers in
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- Cancer, Lipids, and Metabolism 3
- MicroRNA in disease regulation 3
- Cancer, Hypoxia, and Metabolism 2
- Genetics 4
- Genetic Mapping and Diversity in Plants and Animals 2
- Co-authors
- Liang Shi (2 shared papers)Xiangyang Lin (2 shared papers)Zhanguo Chen (2 shared papers)Fang Zheng (2 shared papers)Jianrong Yang (1 shared paper)Li Wu (1 shared paper)Fangyou Yu (1 shared paper)María Jesús Ruiz-Echevarría (2 shared papers)
- Journals
- Animal Genetics (2 papers)Frontiers in Cardiovascular Medicine (1 paper)Cellular Physiology and Biochemistry (1 paper)Journal of Integrative Agriculture (1 paper)Frontiers in Plant Science (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xiaofei Chen
15 papers receiving 423 citations
Peers
Comparison fields: 5 of 77
- Cancer Research 173
- Molecular Biology 265
- Equine 5
- Genetics 41
- Cell Biology 19
Countries citing papers authored by Xiaofei Chen
This map shows the geographic impact of Xiaofei Chen'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 Xiaofei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofei Chen more than expected).
Fields of papers citing papers by Xiaofei Chen
This network shows the impact of papers produced by Xiaofei Chen. 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 Xiaofei Chen. The network helps show where Xiaofei Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaofei Chen, 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 | 2015 | 116 | |
| 2 | 2015 | 82 | |
| 3 | 2021 | 62 | |
| 4 | 2011 | 33 | |
| 5 | 2015 | 21 | |
| 6 | 2016 | 20 | |
| 7 | 2021 | 18 | |
| 8 | 2016 | 16 | |
| 9 | 2015 | 14 | |
| 10 | TMEFF2 modulates the AKT and ERK signaling pathways. | 2013 | 13 |
| 11 | 2024 | 13 | |
| 12 | 2022 | 8 | |
| 13 | 2018 | 7 | |
| 14 | 2025 | 5 | |
| 15 | 2025 | 3 |
About Xiaofei Chen
Xiaofei Chen is a scholar working on Cancer Research, Genetics, Molecular Biology, Equine and Microbiology, having authored 15 papers that have together received 431 indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (3 papers), MicroRNA in disease regulation (3 papers), Genomics and Phylogenetic Studies (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (1 paper), Fungal Infections and Studies (1 paper) and Cholesterol and Lipid Metabolism (1 paper). The work is most often cited by research in Cancer Research (173 citations), Molecular Biology (265 citations), Equine (5 citations), Genetics (41 citations) and Cell Biology (19 citations). Xiaofei Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Liang Shi, Xiangyang Lin, Zhanguo Chen, Fang Zheng, Jianrong Yang, Li Wu, Fangyou Yu, María Jesús Ruiz-Echevarría, Adam Steven Asch and Jianrong Yang. Their work appears in journals such as Animal Genetics, Frontiers in Cardiovascular Medicine, Cellular Physiology and Biochemistry, Journal of Integrative Agriculture and Frontiers in Plant Science.
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.