Xiaofei Chen
Impact in
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- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
- Microbiology top 10%
- Reproductive tract infections research
Papers in
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- Cancer, Hypoxia, and Metabolism 3
- Cancer-related molecular mechanisms research 2
- Cancer, Lipids, and Metabolism 2
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- Folate and B Vitamins Research 2
- Co-authors
- Cristina M. Furdui (13 shared papers)Allen W. Tsang (7 shared papers)Jade Mims (5 shared papers)Manish S. Bharadwaj (2 shared papers)Anthony J. A. Molina (2 shared papers)Nidhi Bansal (1 shared paper)Kathleen F. Arcaro (2 shared papers)Hanzhi Wu (4 shared papers)
- Journals
- Radiation Research (2 papers)Antioxidants and Redox Signaling (2 papers)ACS Chemical Biology (1 paper)Epigenetics (1 paper)BMC Microbiology (1 paper)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Xiaofei Chen
16 papers receiving 382 citations
Peers
Comparison fields: 5 of 75
- Cancer Research 119
- Microbiology 36
- Biochemistry 31
- Toxicology 12
- Molecular Biology 214
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 | 89 | |
| 2 | 2015 | 66 | |
| 3 | 2017 | 47 | |
| 4 | 2014 | 44 | |
| 5 | 2013 | 33 | |
| 6 | 2018 | 30 | |
| 7 | 2017 | 23 | |
| 8 | 2017 | 17 | |
| 9 | 2019 | 14 | |
| 10 | 2019 | 11 | |
| 11 | 2021 | 5 | |
| 12 | 2025 | 2 | |
| 13 | In vitro and in vivo PET imaging properties of [18F]KS1, a fluroethoxy ascorbate derivative to track reactive oxygen species in cancer | 2020 | 1 |
| 14 | 2020 | 1 | |
| 15 | 2022 | 1 | |
| 16 | 2018 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 |
About Xiaofei Chen
Xiaofei Chen is a scholar working on Cancer Research, Rheumatology, Nutrition and Dietetics, Spectroscopy and Leadership and Management, having authored 18 papers that have together received 385 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (3 papers), Vitamin C and Antioxidants Research (2 papers), Folate and B Vitamins Research (2 papers), Cancer-related molecular mechanisms research (2 papers), Redox biology and oxidative stress (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Cancer, Lipids, and Metabolism (2 papers) and RNA modifications and cancer (1 paper). The work is most often cited by research in Cancer Research (119 citations), Microbiology (36 citations), Biochemistry (31 citations), Toxicology (12 citations) and Molecular Biology (214 citations). Xiaofei Chen has collaborated with scholars based in United States, India and China. Frequent co-authors include Cristina M. Furdui, Allen W. Tsang, Jade Mims, Manish S. Bharadwaj, Anthony J. A. Molina, Nidhi Bansal, Kathleen F. Arcaro, Hanzhi Wu, Stephen T Ryan and María Jesús Ruiz-Echevarría. Their work appears in journals such as Radiation Research, Antioxidants and Redox Signaling, ACS Chemical Biology, Epigenetics and BMC Microbiology.
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.