Xiaoli Si
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- Cerebrospinal fluid and hydrocephalus 7
- Nuclear Receptors and Signaling 4
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments 12
- Neurological disorders and treatments 4
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments 12
- Neurological disorders and treatments 4
- Endocrine and Autonomic Systems top 10%
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- MicroRNA in disease regulation 4
- Cancer-related molecular mechanisms research 3
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- Circular RNAs in diseases 4
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- Spinal Dysraphism and Malformations 3
- Journals
- World Neurosurgery (2 papers)Frontiers in Aging Neuroscience (2 papers)Frontiers in Neurology (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaoli Si
34 papers receiving 781 citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Cellular and Molecular Neuroscience 345
- Neurology 287
- Neurology 75
- Endocrine and Autonomic Systems 50
- Radiology, Nuclear Medicine and Imaging 113
Countries citing papers authored by Xiaoli Si
This map shows the geographic impact of Xiaoli Si'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 Xiaoli Si with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoli Si more than expected).
Fields of papers citing papers by Xiaoli Si
This network shows the impact of papers produced by Xiaoli Si. 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 Xiaoli Si. The network helps show where Xiaoli Si may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaoli Si, 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 | 2023 | 25 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 34 | |
| 4 | 2023 | 10 | |
| 5 | Matrix metalloproteinase-9 inhibition prevents aquaporin-4 depolarization-mediated glymphatic dysfunction in Parkinson’s diseasebreakdown → | 2023 | 71 |
| 6 | 2022 | 6 | |
| 7 | 2022 | 34 | |
| 8 | 2021 | 6 | |
| 9 | 2020 | 4 | |
| 10 | 2020 | 32 | |
| 11 | 2020 | 1 | |
| 12 | 2019 | 8 | |
| 13 | 2019 | 6 | |
| 14 | 2019 | 84 | |
| 15 | 2018 | 8 | |
| 16 | 2017 | 13 | |
| 17 | 2017 | 13 | |
| 18 | 2016 | 9 | |
| 19 | 2016 | 16 | |
| 20 | 2008 | 21 |
About Xiaoli Si
Xiaoli Si is a scholar working on Neurology, Cellular and Molecular Neuroscience and Neurology, having authored 34 papers that have together received 788 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (12 papers), Cerebrospinal fluid and hydrocephalus (7 papers), MicroRNA in disease regulation (4 papers), Neurological disorders and treatments (4 papers), Circular RNAs in diseases (4 papers), Nuclear Receptors and Signaling (4 papers), Cancer-related molecular mechanisms research (3 papers) and Spinal Dysraphism and Malformations (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (345 citations), Neurology (287 citations) and Neurology (75 citations). Xiaoli Si has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Baorong Zhang, Jiali Pu, Yaping Yan, Yi Fang, Jun Tian, Zhe Song, Luyan Gu, Xinzhen Yin, Ying Chen and Zhiyun Wang. Their work appears in journals such as World Neurosurgery, Frontiers in Aging Neuroscience, Frontiers in Neurology, The Journal of Urology and Scientific 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.