Xiaoli Si

1.2k total citations · 2 hit papers
34 papers, 788 citations indexed

About

Xiaoli Si is a scholar working on Neurology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Xiaoli Si has authored 34 papers receiving a total of 788 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Neurology, 12 papers in Cellular and Molecular Neuroscience and 8 papers in Molecular Biology. Recurrent topics in Xiaoli Si's work include Parkinson's Disease Mechanisms and Treatments (12 papers), Cerebrospinal fluid and hydrocephalus (7 papers) and MicroRNA in disease regulation (4 papers). Xiaoli Si is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (12 papers), Cerebrospinal fluid and hydrocephalus (7 papers) and MicroRNA in disease regulation (4 papers). Xiaoli Si collaborates with scholars based in China, United States and Hong Kong. Xiaoli Si's co-authors include Baorong Zhang, Jiali Pu, Yaping Yan, Yi Fang, Jun Tian, Zhe Song, Luyan Gu, Xinzhen Yin, Ying Chen and Zhiyun Wang and has published in prestigious journals such as PLoS ONE, Neurology and Scientific Reports.

In The Last Decade

Xiaoli Si

34 papers receiving 781 citations

Hit Papers

Neuroimaging evidence of glymphatic system dysfunction in... 2022 2026 2023 2024 2022 2023 40 80 120

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xiaoli Si China 17 345 287 198 134 113 34 788
Xinzhen Yin China 19 321 0.9× 394 1.4× 235 1.2× 88 0.7× 110 1.0× 57 1.0k
Hisato Ishii Japan 14 222 0.6× 235 0.8× 107 0.5× 87 0.6× 73 0.6× 110 771
Denis E. Bragin United States 19 272 0.8× 261 0.9× 252 1.3× 26 0.2× 159 1.4× 80 981
Matthew MacGregor Sharp United Kingdom 11 501 1.5× 445 1.6× 139 0.7× 77 0.6× 92 0.8× 19 985
Andrea Halsey United Kingdom 8 205 0.6× 167 0.6× 315 1.6× 45 0.3× 25 0.2× 8 773
Maria‐Eleftheria Evangelopoulos Greece 20 178 0.5× 380 1.3× 284 1.4× 34 0.3× 37 0.3× 98 1.2k
Takuji Igarashi United States 10 219 0.6× 376 1.3× 361 1.8× 53 0.4× 27 0.2× 12 1.1k
Kotaro Oshio Japan 11 290 0.8× 200 0.7× 670 3.4× 43 0.3× 29 0.3× 35 1.1k
Vincenzo Salpietro Italy 22 199 0.6× 245 0.9× 481 2.4× 27 0.2× 27 0.2× 89 1.2k
Visar Belegu United States 14 254 0.7× 45 0.2× 144 0.7× 68 0.5× 125 1.1× 22 741

Countries citing papers authored by Xiaoli Si

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Xiaoli Si

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoli Si. A scholar is included among the top collaborators of Xiaoli Si based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaoli Si. Xiaoli Si is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Zhiyun, Zhe Song, Cheng Zhou, et al.. (2023). Reduced coupling of global brain function and cerebrospinal fluid dynamics in Parkinson’s disease. Journal of Cerebral Blood Flow & Metabolism. 43(8). 1328–1339. 25 indexed citations
3.
Fang, Yi, Xiaoli Si, Jiali Wang, et al.. (2023). Alzheimer Disease and Epilepsy. Neurology. 101(4). e399–e409. 34 indexed citations
4.
Fang, Yi, Shaobing Dai, Xiaoli Si, et al.. (2023). The effects of AQP4 rs162009 on resting‐state brain activity in Parkinson's disease. CNS Neuroscience & Therapeutics. 29(9). 2645–2655. 10 indexed citations
5.
Si, Xiaoli, Shaobing Dai, Yi Fang, et al.. (2023). Matrix metalloproteinase-9 inhibition prevents aquaporin-4 depolarization-mediated glymphatic dysfunction in Parkinson’s disease. Journal of Advanced Research. 56. 125–136. 71 indexed citations breakdown →
6.
Fang, Yi, Shaobing Dai, Xiaoli Si, et al.. (2022). Aquaporin-4 Polymorphisms Are Associated With Cognitive Performance in Parkinson’s Disease. Frontiers in Aging Neuroscience. 13. 740491–740491. 34 indexed citations
7.
Pu, Jiali, Yi Fang, Nai‐Jia Xue, et al.. (2021). Apolipoprotein E Genotype Contributes to Motor Progression in Parkinson's Disease. Movement Disorders. 37(1). 196–200. 19 indexed citations
8.
Li, Lingfei, Xiaoli Si, Wenqing Xia, et al.. (2021). Emerging Clues of Regulatory Roles of Circular RNAs through Modulating Oxidative Stress: Focus on Neurological and Vascular Diseases. Oxidative Medicine and Cellular Longevity. 2021(1). 6659908–6659908. 6 indexed citations
9.
Pu, Jiali, Ting Gao, Xiaoli Si, et al.. (2020). Parkinson’s Disease in Teneurin Transmembrane Protein 4 (TENM4) Mutation Carriers. Frontiers in Genetics. 11. 598064–598064. 4 indexed citations
10.
Si, Xiaoli, Luyan Gu, Zhe Song, et al.. (2020). Different Perivascular Space Burdens in Idiopathic Rapid Eye Movement Sleep Behavior Disorder and Parkinson’s Disease. Frontiers in Aging Neuroscience. 12. 580853–580853. 32 indexed citations
11.
Si, Xiaoli, Lingfei Li, Yuanjian Fang, Yaping Yan, & Jiali Pu. (2020). A Patient With Multiple Sclerosis and Coexisting Moyamoya Disease: Why and How. Frontiers in Neurology. 11. 516587–516587. 1 indexed citations
12.
Fang, Yi, Luyan Gu, Jun Tian, et al.. (2020). MRI-visible perivascular spaces are associated with cerebrospinal fluid biomarkers in Parkinson’s disease. Aging. 12(24). 25805–25818. 22 indexed citations
13.
Xia, Wenqing, et al.. (2019). Mechanical Thrombectomy Outcome Predictors in Stroke Patients with M2 Occlusion: A Single-Center Retrospective Study. World Neurosurgery. 127. e155–e161. 8 indexed citations
14.
Si, Xiaoli, Jun Tian, Yanxing Chen, et al.. (2019). Central Nervous System-Derived Exosomal Alpha-Synuclein in Serum May Be a Biomarker in Parkinson’s Disease. Neuroscience. 413. 308–316. 84 indexed citations
15.
Yan, Yaping, Bo Zhang, Ting Shen, et al.. (2018). Study of GCH1 and TH genes in Chinese patients with Parkinson's disease. Neurobiology of Aging. 68. 159.e3–159.e6. 8 indexed citations
16.
Pu, Jiali, Xiaoli Si, Rong Ye, & Baorong Zhang. (2017). Straight sinus dural arteriovenous fistula presenting with reversible parkinsonism. Medicine. 96(49). e9005–e9005. 13 indexed citations
17.
Si, Xiaoli, Jiali Pu, & Baorong Zhang. (2017). Structure, Distribution, and Genetic Profile of α-Synuclein and Their Potential Clinical Application in Parkinson’s Disease. Journal of Movement Disorders. 10(2). 69–79. 13 indexed citations
18.
Ye, Rong, et al.. (2016). The Relationship between Parkinson Disease and Brain Tumor: A Meta-Analysis. PLoS ONE. 11(10). e0164388–e0164388. 16 indexed citations
19.
Shen, Ting, Jiali Pu, Xiaoli Si, Rong Ye, & Baorong Zhang. (2016). An update on potential therapeutic strategies for Parkinson’s disease based on pathogenic mechanisms. Expert Review of Neurotherapeutics. 16(6). 711–722. 9 indexed citations
20.
Johnson, Kamin J., et al.. (2008). The orl Rat with Inherited Cryptorchidism Has Increased Susceptibility to the Testicular Effects of In Utero Dibutyl Phthalate Exposure. Toxicological Sciences. 105(2). 360–367. 21 indexed citations

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.

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