Zhen-Yan Fu
Impact in
- Biochemistry top 2%
- Eicosanoids and Hypertension Pharmacology
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- Hormonal Regulation and Hypertension
- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
- Biochemistry 16
- Eicosanoids and Hypertension Pharmacology 14
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- Diabetes, Cardiovascular Risks, and Lipoproteins 13
- Hormonal Regulation and Hypertension 5
- Co-authors
- Bang‐Dang Chen (75 shared papers)Xiang Xie (70 shared papers)Yi‐Ning Yang (72 shared papers)Yi-Tong Ma (47 shared papers)Xiao‐Mei Li (64 shared papers)Xiang Ma (51 shared papers)Fen Liu (41 shared papers)Ying‐Ying Zheng (32 shared papers)
In The Last Decade
Zhen-Yan Fu
127 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 105
- Biochemistry 217
- Endocrinology, Diabetes and Metabolism 340
- Pharmacology 140
- Cardiology and Cardiovascular Medicine 301
- Cancer Research 177
Countries citing papers authored by Zhen-Yan Fu
This map shows the geographic impact of Zhen-Yan 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 Zhen-Yan Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhen-Yan Fu more than expected).
Fields of papers citing papers by Zhen-Yan Fu
This network shows the impact of papers produced by Zhen-Yan 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 Zhen-Yan Fu. The network helps show where Zhen-Yan Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhen-Yan 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 132 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 123 | |
| 2 | 2013 | 97 | |
| 3 | 2013 | 91 | |
| 4 | 2010 | 75 | |
| 5 | 2008 | 49 | |
| 6 | 2015 | 44 | |
| 7 | 2009 | 43 | |
| 8 | 2010 | 42 | |
| 9 | 2008 | 40 | |
| 10 | 2012 | 39 | |
| 11 | 2011 | 36 | |
| 12 | 2013 | 33 | |
| 13 | 2013 | 33 | |
| 14 | 2008 | 33 | |
| 15 | 2009 | 33 | |
| 16 | 2011 | 31 | |
| 17 | 2011 | 31 | |
| 18 | 2010 | 31 | |
| 19 | 2014 | 30 | |
| 20 | 2011 | 29 |
About Zhen-Yan Fu
Zhen-Yan Fu is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Surgery and Cancer Research, having authored 132 papers that have together received 1.8k indexed citations. Recurring topics across this work include Eicosanoids and Hypertension Pharmacology (14 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers), Lipoproteins and Cardiovascular Health (8 papers), Cholesterol and Lipid Metabolism (7 papers), Hormonal Regulation and Hypertension (5 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (4 papers), Gout, Hyperuricemia, Uric Acid (4 papers) and Cancer, Lipids, and Metabolism (4 papers). The work is most often cited by research in Biochemistry (217 citations), Endocrinology, Diabetes and Metabolism (340 citations), Pharmacology (140 citations), Cardiology and Cardiovascular Medicine (301 citations) and Cancer Research (177 citations). Zhen-Yan Fu has collaborated with scholars based in China, Japan and Australia. Frequent co-authors include Bang‐Dang Chen, Xiang Xie, Yi‐Ning Yang, Yi-Tong Ma, Xiao‐Mei Li, Xiang Ma, Fen Liu, Ying‐Ying Zheng, Ding Huang and Yitong Ma. Their work appears in journals such as PLoS ONE, Lipids in Health and Disease, Journal of the American College of Cardiology, PeerJ and Hereditas.
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.