Jinyu Chi
Impact in
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- Cardiac Fibrosis and Remodeling
- Cardiovascular Function and Risk Factors
Papers in
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- RNA Interference and Gene Delivery 2
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- Endoplasmic Reticulum Stress and Disease 4
- Co-authors
- Xinhua Yin (19 shared papers)Yu Fu (15 shared papers)Wenxiu Liu (14 shared papers)Yue Liu (7 shared papers)Meng Zhao (7 shared papers)Xiaohui Zhang (8 shared papers)Xiaohui Zhang (5 shared papers)Yejing Zhu (5 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (4 papers)Amino Acids (2 papers)Cellular Physiology and Biochemistry (2 papers)Molecular and Cellular Biochemistry (2 papers)Biochimie (2 papers)
- Partner nations
- China
In The Last Decade
Jinyu Chi
27 papers receiving 495 citations
Peers
Comparison fields: 5 of 78
- Cardiology and Cardiovascular Medicine 100
- Nephrology 28
- Physiology 19
- Molecular Biology 238
- Immunology 60
Countries citing papers authored by Jinyu Chi
This map shows the geographic impact of Jinyu Chi'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 Jinyu Chi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinyu Chi more than expected).
Fields of papers citing papers by Jinyu Chi
This network shows the impact of papers produced by Jinyu Chi. 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 Jinyu Chi. The network helps show where Jinyu Chi may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinyu Chi, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 85 | |
| 2 | 2017 | 45 | |
| 3 | 2019 | 39 | |
| 4 | 2012 | 38 | |
| 5 | 2019 | 26 | |
| 6 | 2014 | 25 | |
| 7 | 2011 | 22 | |
| 8 | 2020 | 21 | |
| 9 | 2018 | 20 | |
| 10 | 2015 | 20 | |
| 11 | 2012 | 16 | |
| 12 | 2018 | 15 | |
| 13 | 2017 | 15 | |
| 14 | 2015 | 14 | |
| 15 | 2020 | 13 | |
| 16 | 2012 | 13 | |
| 17 | 2018 | 13 | |
| 18 | 2016 | 11 | |
| 19 | 2011 | 9 | |
| 20 | 2023 | 8 |
About Jinyu Chi
Jinyu Chi is a scholar working on Molecular Biology, Cell Biology, Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine and Epidemiology, having authored 30 papers that have together received 499 indexed citations. Recurring topics across this work include Pregnancy-related medical research (4 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Autophagy in Disease and Therapy (4 papers), Cardiac Ischemia and Reperfusion (3 papers), Occupational Health and Performance (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), RNA Interference and Gene Delivery (2 papers) and Renin-Angiotensin System Studies (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (100 citations), Nephrology (28 citations), Physiology (19 citations), Molecular Biology (238 citations) and Immunology (60 citations). Jinyu Chi has collaborated with scholars based in China. Frequent co-authors include Xinhua Yin, Yu Fu, Wenxiu Liu, Yue Liu, Meng Zhao, Xiaohui Zhang, Xiaohui Zhang, Yejing Zhu, Xin Zhang and Fang Lin. Their work appears in journals such as Biochemical and Biophysical Research Communications, Amino Acids, Cellular Physiology and Biochemistry, Molecular and Cellular Biochemistry and Biochimie.
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.