Xiaoyun Liu
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- Autoimmune Neurological Disorders and Treatments 4
- Cerebrovascular and genetic disorders 4
- Peripheral Neuropathies and Disorders 3
- Neuroinflammation and Neurodegeneration Mechanisms 3
- Neurological Disease Mechanisms and Treatments 3
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- Autoimmune Neurological Disorders and Treatments 4
- Cerebrovascular and genetic disorders 4
- Peripheral Neuropathies and Disorders 3
- Neuroinflammation and Neurodegeneration Mechanisms 3
- Neurological Disease Mechanisms and Treatments 3
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- Neuroscience and Neuropharmacology Research 3
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- Moyamoya disease diagnosis and treatment 4
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- Monoclonal and Polyclonal Antibodies Research 3
- Cited by
- NeurologyDevelopmental Neuroscience
- Journals
- SHILAP Revista de lepidopterología (3 papers)The Journal of Immunology (1 paper)Chemical Engineering Journal (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xiaoyun Liu
40 papers receiving 424 citations
Peers
Comparison fields: 5 of 83
- Neurology 93
- Neurology 50
- Developmental Neuroscience 21
- Cellular and Molecular Neuroscience 88
- Biological Psychiatry 8
Countries citing papers authored by Xiaoyun Liu
This map shows the geographic impact of Xiaoyun Liu'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 Xiaoyun Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyun Liu more than expected).
Fields of papers citing papers by Xiaoyun Liu
This network shows the impact of papers produced by Xiaoyun Liu. 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 Xiaoyun Liu. The network helps show where Xiaoyun Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaoyun Liu, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 0 | |
| 5 | 2022 | 8 | |
| 6 | 2022 | 6 | |
| 7 | 2022 | 6 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 3 | |
| 10 | 2021 | 36 | |
| 11 | 2021 | 3 | |
| 12 | 2021 | 4 | |
| 13 | 2021 | 4 | |
| 14 | 2020 | 10 | |
| 15 | 2020 | 10 | |
| 16 | 2020 | 19 | |
| 17 | 2019 | 17 | |
| 18 | 2013 | 10 | |
| 19 | Naloxone hydrochloride preconditioning suppresses expressions of aquaporin protein-4 and matrix metalloproteinase-9 in rat brain tissue around cerebral hemorrhagic focus | 2009 | 1 |
| 20 | 2008 | 9 |
About Xiaoyun Liu
Xiaoyun Liu is a scholar working on Neurology, Neurology and Biological Psychiatry, having authored 45 papers that have together received 429 indexed citations. Recurring topics across this work include Moyamoya disease diagnosis and treatment (4 papers), Autoimmune Neurological Disorders and Treatments (4 papers), Cerebrovascular and genetic disorders (4 papers), Peripheral Neuropathies and Disorders (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Neurological Disease Mechanisms and Treatments (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Neurology (93 citations), Neurology (50 citations) and Developmental Neuroscience (21 citations). Xiaoyun Liu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yuxuan Li, Chen Gao, Jie Huang, Zhijun Zhang, Li‐Ru Zhao, Xin Gu, Liling Yang, Yuxiang Han, Zhehui Liu and Jing Wei. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Chemical Engineering Journal.
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.