Kun Zan
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
- Intracerebral and Subarachnoid Hemorrhage Research
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- Tryptophan and brain disorders
Papers in
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- Neuroinflammation and Neurodegeneration Mechanisms 4
- Intracerebral and Subarachnoid Hemorrhage Research 3
- Parkinson's Disease Mechanisms and Treatments 2
- Neurological Disease Mechanisms and Treatments 2
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- Inflammasome and immune disorders 2
- Co-authors
- Jie Zu (10 shared papers)Xinchun Ye (8 shared papers)Hongjuan Shi (7 shared papers)Jinxia Hu (5 shared papers)Zuohui Zhang (5 shared papers)Guiyun Cui (7 shared papers)Xinxin Yang (2 shared papers)Chengcheng Cui (2 shared papers)
- Journals
- Experimental Neurology (2 papers)Psychogeriatrics (2 papers)Neuroreport (1 paper)Clinical Interventions in Aging (1 paper)Journal of Neuroinflammation (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Kun Zan
15 papers receiving 464 citations
Peers
Comparison fields: 5 of 72
- Neurology 151
- Biological Psychiatry 21
- Developmental Neuroscience 21
- Genetics 50
- Neurology 63
Countries citing papers authored by Kun Zan
This map shows the geographic impact of Kun Zan'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 Kun Zan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Zan more than expected).
Fields of papers citing papers by Kun Zan
This network shows the impact of papers produced by Kun Zan. 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 Kun Zan. The network helps show where Kun Zan may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Zan, 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 | 2017 | 107 | |
| 2 | 2020 | 95 | |
| 3 | 2017 | 91 | |
| 4 | 2015 | 53 | |
| 5 | 2016 | 27 | |
| 6 | 2015 | 25 | |
| 7 | 2022 | 20 | |
| 8 | 2017 | 17 | |
| 9 | 2021 | 9 | |
| 10 | 2016 | 8 | |
| 11 | 2024 | 5 | |
| 12 | 2013 | 4 | |
| 13 | 2024 | 3 | |
| 14 | 2024 | 1 | |
| 15 | 2013 | 1 | |
| 16 | 2025 | 0 |
About Kun Zan
Kun Zan is a scholar working on Neurology, Neurology, Molecular Biology, Epidemiology and Genetics, having authored 16 papers that have together received 466 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Intracerebral and Subarachnoid Hemorrhage Research (3 papers), Acute Ischemic Stroke Management (3 papers), Ocular Surface and Contact Lens (2 papers), Inflammasome and immune disorders (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Mesenchymal stem cell research (2 papers) and Neurological Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Neurology (151 citations), Biological Psychiatry (21 citations), Developmental Neuroscience (21 citations), Genetics (50 citations) and Neurology (63 citations). Kun Zan has collaborated with scholars based in China and United States. Frequent co-authors include Jie Zu, Xinchun Ye, Hongjuan Shi, Jinxia Hu, Zuohui Zhang, Guiyun Cui, Xinxin Yang, Chengcheng Cui, Xin Yang and Qiuchen Zhao. Their work appears in journals such as Experimental Neurology, Psychogeriatrics, Neuroreport, Clinical Interventions in Aging and Journal of Neuroinflammation.
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.