Jin‐Shun Qi
- Biological Psychiatry top 2%
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- Neuroscience and Neuropharmacology Research 33
- Nuclear Receptors and Signaling 7
- Neuropeptides and Animal Physiology 6
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms 9
- Physiology top 2%
- Alzheimer's disease research and treatments 50
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- Cholinesterase and Neurodegenerative Diseases 19
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- Diabetes Treatment and Management 10
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- GDF15 and Related Biomarkers 6
- Co-authors
- Meina WuHong-Yan CaiZhao‐Jun WangChristian HölscherWei YangGong ChenJun ZhangJunting Yang
- Journals
- Journal of Neuroscience (2 papers)The Journal of Physiology (2 papers)Brain Research (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jin‐Shun Qi
85 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 118
- Biological Psychiatry 158
- Cellular and Molecular Neuroscience 807
- Neurology 363
- Physiology 924
- Endocrine and Autonomic Systems 205
Countries citing papers authored by Jin‐Shun Qi
This map shows the geographic impact of Jin‐Shun Qi'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 Jin‐Shun Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin‐Shun Qi more than expected).
Fields of papers citing papers by Jin‐Shun Qi
This network shows the impact of papers produced by Jin‐Shun Qi. 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 Jin‐Shun Qi. The network helps show where Jin‐Shun Qi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jin‐Shun Qi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 5 | |
| 2 | 2022 | 14 | |
| 3 | 2020 | 42 | |
| 4 | 2020 | 29 | |
| 5 | 2018 | 56 | |
| 6 | 2018 | 3 | |
| 7 | 2018 | 113 | |
| 8 | 2017 | 2 | |
| 9 | 2017 | 25 | |
| 10 | 2017 | 12 | |
| 11 | 2016 | 29 | |
| 12 | 2016 | 39 | |
| 13 | 2015 | 38 | |
| 14 | 2013 | 8 | |
| 15 | 2012 | 5 | |
| 16 | 2012 | 124 | |
| 17 | 2011 | 25 | |
| 18 | 2007 | 63 | |
| 19 | 2006 | 33 | |
| 20 | 2001 | 45 |
About Jin‐Shun Qi
Jin‐Shun Qi is a scholar working on Cellular and Molecular Neuroscience, Biological Psychiatry and Physiology, having authored 85 papers that have together received 2.2k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (50 papers), Neuroscience and Neuropharmacology Research (33 papers), Cholinesterase and Neurodegenerative Diseases (19 papers), Diabetes Treatment and Management (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Nuclear Receptors and Signaling (7 papers), GDF15 and Related Biomarkers (6 papers) and Neuropeptides and Animal Physiology (6 papers). The work is most often cited by research in Biological Psychiatry (158 citations), Cellular and Molecular Neuroscience (807 citations) and Neurology (363 citations). Jin‐Shun Qi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Meina Wu, Hong-Yan Cai, Zhao‐Jun Wang, Christian Hölscher, Wei Yang, Gong Chen, Jun Zhang, Junting Yang, Jian‐Tian Qiao and Yuan Li. Their work appears in journals such as Journal of Neuroscience, The Journal of Physiology and Brain Research.
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.