Feng Fu
Impact in
- Geriatrics and Gerontology top 2%
- Sirtuins and Resveratrol in Medicine
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- Cardiovascular Function and Risk Factors
Papers in
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- Mitochondrial Function and Pathology 13
- ATP Synthase and ATPases Research 6
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- Cardiovascular Function and Risk Factors 8
- Cardiac electrophysiology and arrhythmias 7
- Chemotherapy-induced cardiotoxicity and mitigation 4
- Co-authors
- Mingge Ding (13 shared papers)Na Feng (8 shared papers)Xiaoming Gu (7 shared papers)Zhenhua Liu (5 shared papers)Haifeng Zhang (10 shared papers)Min Jia (6 shared papers)Xiaoming Wang (4 shared papers)Lele Ji (7 shared papers)
In The Last Decade
Feng Fu
53 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 106
- Geriatrics and Gerontology 171
- Cardiology and Cardiovascular Medicine 470
- Pathology and Forensic Medicine 345
- Clinical Biochemistry 115
- Molecular Biology 1.0k
Countries citing papers authored by Feng Fu
This map shows the geographic impact of Feng Fu'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 Feng Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Fu more than expected).
Fields of papers citing papers by Feng Fu
This network shows the impact of papers produced by Feng Fu. 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 Feng Fu. The network helps show where Feng Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Fu, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 304 | |
| 2 | 2019 | 179 | |
| 3 | 2010 | 120 | |
| 4 | 2015 | 107 | |
| 5 | 2017 | 105 | |
| 6 | 2017 | 81 | |
| 7 | 2021 | 76 | |
| 8 | 2013 | 69 | |
| 9 | 2022 | 69 | |
| 10 | 2019 | 68 | |
| 11 | 2022 | 53 | |
| 12 | 2022 | 49 | |
| 13 | 2014 | 46 | |
| 14 | 2015 | 44 | |
| 15 | 2020 | 37 | |
| 16 | 2017 | 35 | |
| 17 | 2009 | 35 | |
| 18 | 2024 | 33 | |
| 19 | 2010 | 29 | |
| 20 | 2022 | 29 |
About Feng Fu
Feng Fu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine, Physiology and Emergency Medicine, having authored 55 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (20 papers), Mitochondrial Function and Pathology (13 papers), Cardiovascular Function and Risk Factors (8 papers), Cardiac electrophysiology and arrhythmias (7 papers), Cardiac Arrest and Resuscitation (7 papers), ATP Synthase and ATPases Research (6 papers), Autophagy in Disease and Therapy (4 papers) and Chemotherapy-induced cardiotoxicity and mitigation (4 papers). The work is most often cited by research in Geriatrics and Gerontology (171 citations), Cardiology and Cardiovascular Medicine (470 citations), Pathology and Forensic Medicine (345 citations), Clinical Biochemistry (115 citations) and Molecular Biology (1.0k citations). Feng Fu has collaborated with scholars based in China, Russia and India. Frequent co-authors include Mingge Ding, Na Feng, Xiaoming Gu, Zhenhua Liu, Haifeng Zhang, Min Jia, Xiaoming Wang, Lele Ji, Jianming Pei and Jiahao Feng. Their work appears in journals such as Redox Biology, PLoS ONE, The American Journal of Chinese Medicine, Journal of Pineal Research and Theranostics.
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.