Fei Peng
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Cell Biology top 5%
- Microtubule and mitosis dynamics
Papers in
-
- Epigenetics and DNA Methylation 4
- RNA modifications and cancer 4
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- Cancer-related molecular mechanisms research 5
- MicroRNA in disease regulation 5
- Cancer, Hypoxia, and Metabolism 5
- Co-authors
- Quentin Liu (12 shared papers)Eric W.‐F. Lam (6 shared papers)Bai Cui (9 shared papers)Xu Hou (9 shared papers)Jie Xu (5 shared papers)Yunke Bi (7 shared papers)Fei-Meng Zheng (3 shared papers)Keith W. Kelley (4 shared papers)
- Journals
- Cellular Physiology and Biochemistry (5 papers)Oncotarget (4 papers)Cell Death and Disease (3 papers)BioMed Research International (2 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Fei Peng
47 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 110
- Cancer Research 648
- Cell Biology 276
- Molecular Biology 1.0k
- Oncology 292
- Geriatrics and Gerontology 29
Countries citing papers authored by Fei Peng
This map shows the geographic impact of Fei Peng'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 Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Peng more than expected).
Fields of papers citing papers by Fei Peng
This network shows the impact of papers produced by Fei Peng. 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 Peng. The network helps show where Fei Peng may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei Peng, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 239 | |
| 2 | 2016 | 225 | |
| 3 | 2017 | 205 | |
| 4 | 2020 | 88 | |
| 5 | 2015 | 80 | |
| 6 | 2013 | 73 | |
| 7 | 2011 | 72 | |
| 8 | 2015 | 69 | |
| 9 | 2015 | 64 | |
| 10 | 2015 | 57 | |
| 11 | 2015 | 55 | |
| 12 | 2019 | 53 | |
| 13 | 2014 | 49 | |
| 14 | 2017 | 48 | |
| 15 | 2018 | 41 | |
| 16 | 2018 | 35 | |
| 17 | 2021 | 35 | |
| 18 | 2014 | 34 | |
| 19 | 2018 | 26 | |
| 20 | 2017 | 26 |
About Fei Peng
Fei Peng is a scholar working on Molecular Biology, Cancer Research, Cell Biology, Oncology and Epidemiology, having authored 47 papers that have together received 1.9k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (5 papers), Autophagy in Disease and Therapy (5 papers), Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Epigenetics and DNA Methylation (4 papers), Cancer, Stress, Anesthesia, and Immune Response (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Cancer Research (648 citations), Cell Biology (276 citations), Molecular Biology (1.0k citations), Oncology (292 citations) and Geriatrics and Gerontology (29 citations). Fei Peng has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Quentin Liu, Eric W.‐F. Lam, Bai Cui, Xu Hou, Jie Xu, Yunke Bi, Fei-Meng Zheng, Keith W. Kelley, Bin He and Shiguang Zhao. Their work appears in journals such as Cellular Physiology and Biochemistry, Oncotarget, Cell Death and Disease, BioMed Research International and Scientific Reports.
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.