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
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- Neuroinflammation and Neurodegeneration Mechanisms 7
- Intracerebral and Subarachnoid Hemorrhage Research 2
- Cerebrovascular and genetic disorders 1
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- Ginseng Biological Effects and Applications 2
- Co-authors
- Wei Ge (5 shared papers)Fuyong Hu (4 shared papers)Weizu Li (3 shared papers)Xingshun Xu (2 shared papers)Zhengxu Chen (3 shared papers)Ji Zhang (2 shared papers)Guoping Wang (5 shared papers)Yan Tang (1 shared paper)
- Journals
- Nature Communications (1 paper)American Journal of Translational Research (1 paper)Current Biology (1 paper)Scientific Reports (1 paper)International Immunopharmacology (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Sen Qun
15 papers receiving 339 citations
Peers
Comparison fields: 5 of 57
- Neurology 87
- Biological Psychiatry 25
- Behavioral Neuroscience 13
- Complementary and alternative medicine 24
- Neurology 41
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 | 83 | |
| 2 | 2024 | 53 | |
| 3 | 2021 | 53 | |
| 4 | 2022 | 36 | |
| 5 | Ginkgo biloba extract improves cognitive function and increases neurogenesis by reducing Aβ pathology in 5×FAD mice. | 2021 | 20 |
| 6 | A novel dominant-negative mutation of the CSF1R gene causes adult-onset leukoencephalopathy with axonal spheroids and pigmented glia. | 2019 | 19 |
| 7 | 2019 | 18 | |
| 8 | 2022 | 10 | |
| 9 | 2019 | 10 | |
| 10 | 2019 | 10 | |
| 11 | 2020 | 9 | |
| 12 | 2023 | 7 | |
| 13 | 2024 | 6 | |
| 14 | 2024 | 5 | |
| 15 | 2022 | 3 |
About Sen Qun
Sen Qun is a scholar working on Neurology, Molecular Biology, Epidemiology, Neurology and Physiology, having authored 15 papers that have together received 342 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Acute Ischemic Stroke Management (5 papers), Ginseng Biological Effects and Applications (2 papers), Intracerebral and Subarachnoid Hemorrhage Research (2 papers), Cerebrovascular and genetic disorders (1 paper), Circadian rhythm and melatonin (1 paper), Inflammatory Biomarkers in Disease Prognosis (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Neurology (87 citations), Biological Psychiatry (25 citations), Behavioral Neuroscience (13 citations), Complementary and alternative medicine (24 citations) and Neurology (41 citations). Sen Qun has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Wei Ge, Fuyong Hu, Weizu Li, Xingshun Xu, Zhengxu Chen, Ji Zhang, Guoping Wang, Yan Tang, Jing Sun and Lan Li. Their work appears in journals such as Nature Communications, American Journal of Translational Research, Current Biology, Scientific Reports and International Immunopharmacology.
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.