Chun Shi
Impact in
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- Ginkgo biloba and Cashew Applications
- Medicinal Plants and Neuroprotection
- Neurology top 2%
- Neurological Disease Mechanisms and Treatments
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- FOXO transcription factor regulation 6
- Mitochondrial Function and Pathology 5
- Physiology 16
- Alzheimer's disease research and treatments 12
- Co-authors
- Jie Xu (20 shared papers)Fengming Wu (11 shared papers)David T. Yew (17 shared papers)Jun Liu (4 shared papers)Zhibin Yao (5 shared papers)Dahong Long (7 shared papers)Kaihua Guo (4 shared papers)Lina Zhao (2 shared papers)
- Journals
- Journal of Bioenergetics and Biomembranes (7 papers)Platelets (4 papers)Neuroreport (3 papers)Journal of Molecular Neuroscience (3 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Chun Shi
72 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 134
- Complementary and alternative medicine 377
- Neurology 323
- Aging 38
- Biological Psychiatry 52
- Physiology 423
Countries citing papers authored by Chun Shi
This map shows the geographic impact of Chun Shi'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 Chun Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun Shi more than expected).
Fields of papers citing papers by Chun Shi
This network shows the impact of papers produced by Chun Shi. 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 Chun Shi. The network helps show where Chun Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun Shi, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 133 | |
| 2 | 2009 | 126 | |
| 3 | 2012 | 83 | |
| 4 | 2011 | 70 | |
| 5 | 2019 | 62 | |
| 6 | 2010 | 56 | |
| 7 | 2016 | 56 | |
| 8 | 2008 | 55 | |
| 9 | 2017 | 54 | |
| 10 | 2010 | 53 | |
| 11 | 2016 | 48 | |
| 12 | 2012 | 48 | |
| 13 | 2007 | 42 | |
| 14 | 2012 | 37 | |
| 15 | 2009 | 36 | |
| 16 | 2011 | 36 | |
| 17 | 2021 | 33 | |
| 18 | 2010 | 31 | |
| 19 | 2007 | 31 | |
| 20 | 2008 | 31 |
About Chun Shi
Chun Shi is a scholar working on Molecular Biology, Physiology, Complementary and alternative medicine, Neurology and Surgery, having authored 74 papers that have together received 1.7k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (12 papers), Ginkgo biloba and Cashew Applications (10 papers), Neurological Disease Mechanisms and Treatments (8 papers), Cholesterol and Lipid Metabolism (7 papers), Phytoestrogen effects and research (7 papers), Wireless Networks and Protocols (6 papers), FOXO transcription factor regulation (6 papers) and Mitochondrial Function and Pathology (5 papers). The work is most often cited by research in Complementary and alternative medicine (377 citations), Neurology (323 citations), Aging (38 citations), Biological Psychiatry (52 citations) and Physiology (423 citations). Chun Shi has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jie Xu, Fengming Wu, David T. Yew, Jun Liu, Zhibin Yao, Dahong Long, Kaihua Guo, Lina Zhao, Jie Xu and Jisheng Wang. Their work appears in journals such as Journal of Bioenergetics and Biomembranes, Platelets, Neuroreport, Journal of Molecular Neuroscience 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.