Kun Zan
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Intracerebral and Subarachnoid Hemorrhage Research
- Neurological Disorders and Treatments
- Barrier Structure and Function Studies
- Neurological Disease Mechanisms and Treatments
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- Mesenchymal stem cell research
Papers in
-
- Neuroinflammation and Neurodegeneration Mechanisms 5
- Parkinson's Disease Mechanisms and Treatments 4
- Barrier Structure and Function Studies 2
- Intracerebral and Subarachnoid Hemorrhage Research 2
- Genetics 2
- Mesenchymal stem cell research 2
- Co-authors
- Jie Zu (10 shared papers)Xinchun Ye (8 shared papers)Guiyun Cui (14 shared papers)Hongjuan Shi (7 shared papers)Jinxia Hu (5 shared papers)Zuohui Zhang (5 shared papers)Chengcheng Cui (2 shared papers)Xinxin Yang (2 shared papers)
- Journals
- Psychogeriatrics (2 papers)Experimental Neurology (2 papers)Journal of Neuroinflammation (1 paper)Biochemical and Biophysical Research Communications (1 paper)Clinical Interventions in Aging (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Kun Zan
16 papers receiving 511 citations
Peers
Comparison fields: 5 of 60
- Neurology 155
- Genetics 51
- Developmental Neuroscience 18
- Neurology 73
- Biological Psychiatry 5
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 | 111 | |
| 2 | 2020 | 103 | |
| 3 | 2017 | 97 | |
| 4 | 2015 | 55 | |
| 5 | 2016 | 28 | |
| 6 | 2015 | 25 | |
| 7 | 2017 | 24 | |
| 8 | 2022 | 22 | |
| 9 | 2017 | 18 | |
| 10 | 2021 | 9 | |
| 11 | 2016 | 8 | |
| 12 | 2024 | 8 | |
| 13 | 2013 | 4 | |
| 14 | 2024 | 4 | |
| 15 | 2013 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 |
About Kun Zan
Kun Zan is a scholar working on Neurology, Neurology, Genetics, Physiology and Clinical Biochemistry, having authored 18 papers that have together received 518 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Inflammasome and immune disorders (2 papers), Barrier Structure and Function Studies (2 papers), Mesenchymal stem cell research (2 papers), Intracerebral and Subarachnoid Hemorrhage Research (2 papers), RNA Interference and Gene Delivery (1 paper) and Neonatal and fetal brain pathology (1 paper). The work is most often cited by research in Neurology (155 citations), Genetics (51 citations), Developmental Neuroscience (18 citations), Neurology (73 citations) and Biological Psychiatry (5 citations). Kun Zan has collaborated with scholars based in China and United States. Frequent co-authors include Jie Zu, Xinchun Ye, Guiyun Cui, Hongjuan Shi, Jinxia Hu, Zuohui Zhang, Chengcheng Cui, Xinxin Yang, Qiuchen Zhao and Lei Bao. Their work appears in journals such as Psychogeriatrics, Experimental Neurology, Journal of Neuroinflammation, Biochemical and Biophysical Research Communications and Clinical Interventions in Aging.
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.