Sen Qun
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Intracerebral and Subarachnoid Hemorrhage Research
- Neurological Disease Mechanisms and Treatments
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- Tryptophan and brain disorders
Papers in
- Neurology 10
- Neuroinflammation and Neurodegeneration Mechanisms 9
- Neurological Disease Mechanisms and Treatments 2
- Intracerebral and Subarachnoid Hemorrhage Research 2
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- Acute Ischemic Stroke Management 6
- Co-authors
- Wei Ge (5 shared papers)Fuyong Hu (4 shared papers)Zhengxu Chen (3 shared papers)Xingshun Xu (2 shared papers)Ji Zhang (2 shared papers)Weizu Li (3 shared papers)Guoping Wang (5 shared papers)Yan Tang (1 shared paper)
In The Last Decade
Sen Qun
15 papers receiving 315 citations
Peers
Comparison fields: 5 of 64
- Neurology 111
- Biological Psychiatry 27
- Neurology 69
- Internal Medicine 17
- Behavioral Neuroscience 16
Countries citing papers authored by Sen Qun
This map shows the geographic impact of Sen Qun'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 Sen Qun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sen Qun more than expected).
Fields of papers citing papers by Sen Qun
This network shows the impact of papers produced by Sen Qun. 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 Sen Qun. The network helps show where Sen Qun may publish in the future.
Co-authors
The 25 scholars most cited alongside Sen Qun, 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 | 81 | |
| 2 | 2021 | 49 | |
| 3 | 2024 | 44 | |
| 4 | 2022 | 34 | |
| 5 | A novel dominant-negative mutation of the CSF1R gene causes adult-onset leukoencephalopathy with axonal spheroids and pigmented glia. | 2019 | 19 |
| 6 | Ginkgo biloba extract improves cognitive function and increases neurogenesis by reducing Aβ pathology in 5×FAD mice. | 2021 | 18 |
| 7 | 2019 | 17 | |
| 8 | 2019 | 10 | |
| 9 | 2020 | 9 | |
| 10 | 2019 | 9 | |
| 11 | 2022 | 8 | |
| 12 | 2023 | 7 | |
| 13 | 2024 | 5 | |
| 14 | 2024 | 4 | |
| 15 | 2022 | 3 |
About Sen Qun
Sen Qun is a scholar working on Neurology, Epidemiology, Molecular Biology, Neurology and Physiology, having authored 15 papers that have together received 317 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Acute Ischemic Stroke Management (6 papers), Neurological Disease Mechanisms and Treatments (2 papers), Ginseng Biological Effects and Applications (2 papers), Intracerebral and Subarachnoid Hemorrhage Research (2 papers), Signaling Pathways in Disease (1 paper), Apelin-related biomedical research (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Neurology (111 citations), Biological Psychiatry (27 citations), Neurology (69 citations), Internal Medicine (17 citations) and Behavioral Neuroscience (16 citations). Sen Qun has collaborated with scholars based in China, Australia and Israel. Frequent co-authors include Wei Ge, Fuyong Hu, Zhengxu Chen, Xingshun Xu, Ji Zhang, Weizu Li, Guoping Wang, Yan Tang, Zhiqiang Xu and Zhaoxia Liu. Their work appears in journals such as Experimental Neurology, Scientific Reports, Current Biology, Nature Communications and Cell 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.