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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- Circular RNAs in diseases
- Genomics, phytochemicals, and oxidative stress
- RNA modifications and cancer
- Glutathione Transferases and Polymorphisms
Papers in
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- Genomics and Phylogenetic Studies 2
- Genomics, phytochemicals, and oxidative stress 2
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- MicroRNA in disease regulation 4
- Cancer, Lipids, and Metabolism 3
- Cancer-related molecular mechanisms research 2
- Cancer, Hypoxia, and Metabolism 2
- Co-authors
- Fang Zheng (2 shared papers)Xiangyang Lin (2 shared papers)Zhanguo Chen (2 shared papers)Liang Shi (2 shared papers)Fangyou Yu (1 shared paper)Li Wu (1 shared paper)Jianrong Yang (1 shared paper)Maria J. Ruiz‐Echevarría (2 shared papers)
- Journals
- Animal Genetics (2 papers)BioMed Research International (2 papers)Mycopathologia (1 paper)Biomolecules (1 paper)Cell Death and Disease (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xiaofei Chen
16 papers receiving 402 citations
Peers
Comparison fields: 5 of 82
- Cancer Research 204
- Molecular Biology 291
- Equine 5
- Genetics 48
- Cell Biology 26
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 | 114 | |
| 2 | 2015 | 80 | |
| 3 | 2021 | 55 | |
| 4 | 2011 | 33 | |
| 5 | 2015 | 21 | |
| 6 | 2016 | 19 | |
| 7 | 2021 | 16 | |
| 8 | 2016 | 15 | |
| 9 | 2015 | 14 | |
| 10 | TMEFF2 modulates the AKT and ERK signaling pathways. | 2013 | 13 |
| 11 | 2021 | 8 | |
| 12 | 2022 | 8 | |
| 13 | 2024 | 6 | |
| 14 | 2018 | 5 | |
| 15 | 2025 | 2 | |
| 16 | 2025 | 1 |
About Xiaofei Chen
Xiaofei Chen is a scholar working on Molecular Biology, Cancer Research, Genetics, Surgery and Plant Science, having authored 16 papers that have together received 410 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Cancer, Lipids, and Metabolism (3 papers), Genomics and Phylogenetic Studies (2 papers), Cancer-related molecular mechanisms research (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers) and Postharvest Quality and Shelf Life Management (1 paper). The work is most often cited by research in Cancer Research (204 citations), Molecular Biology (291 citations), Equine (5 citations), Genetics (48 citations) and Cell Biology (26 citations). Xiaofei Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Fang Zheng, Xiangyang Lin, Zhanguo Chen, Liang Shi, Fangyou Yu, Li Wu, Jianrong Yang, Maria J. Ruiz‐Echevarría, Zengqiang Chen and Jianjian Zheng. Their work appears in journals such as Animal Genetics, BioMed Research International, Mycopathologia, Biomolecules and Cell Death and Disease.
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.