Shaobing Dai

556 total citations · 1 hit paper
20 papers, 319 citations indexed

About

Shaobing Dai is a scholar working on Neurology, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, Shaobing Dai has authored 20 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Neurology, 7 papers in Cellular and Molecular Neuroscience and 6 papers in Surgery. Recurrent topics in Shaobing Dai's work include Parkinson's Disease Mechanisms and Treatments (6 papers), Cerebrospinal fluid and hydrocephalus (4 papers) and Hemodynamic Monitoring and Therapy (4 papers). Shaobing Dai is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (6 papers), Cerebrospinal fluid and hydrocephalus (4 papers) and Hemodynamic Monitoring and Therapy (4 papers). Shaobing Dai collaborates with scholars based in China. Shaobing Dai's co-authors include Baorong Zhang, Jiali Pu, Zhe Song, Yi Fang, Xiaoli Si, Ying Chen, Ran Zheng, Zhiyun Wang, Xinzhong Chen and Jianjun Shen and has published in prestigious journals such as Medicine, Journal of Neuroinflammation and Frontiers in Aging Neuroscience.

In The Last Decade

Shaobing Dai

20 papers receiving 315 citations

Hit Papers

Matrix metalloproteinase-9 inhibition prevents aquaporin-... 2023 2026 2024 2025 2023 20 40 60
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Matrix metalloproteinase-9 inhibition prevents aquaporin-4 depolarization-mediated glymphatic dysfunction in Parkinson’s disease
    2023 71 citations Xiaoli Si, Shaobing Dai et al. Journal of Advanced Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaobing Dai China 10 151 114 51 49 47 20 319
Domenico Policicchio Italy 13 64 0.4× 124 1.1× 23 0.5× 98 2.0× 33 0.7× 32 391
Luíza da Silva Lopes Brazil 12 238 1.6× 205 1.8× 25 0.5× 27 0.6× 44 0.9× 41 395
H. Masur Germany 11 85 0.6× 142 1.2× 32 0.6× 87 1.8× 42 0.9× 34 411
Dürdane Aksoy Türkiye 10 56 0.4× 64 0.6× 25 0.5× 27 0.6× 37 0.8× 41 334
YongSoo Shim South Korea 12 77 0.5× 138 1.2× 13 0.3× 48 1.0× 37 0.8× 40 443
Chiun-Chieh Yu Taiwan 10 153 1.0× 165 1.4× 69 1.4× 20 0.4× 30 0.6× 20 355
Charles Matouk United States 4 208 1.4× 149 1.3× 46 0.9× 38 0.8× 23 0.5× 9 302
Selim Selçuk Çomoğlu Türkiye 11 34 0.2× 98 0.9× 46 0.9× 44 0.9× 42 0.9× 35 357
S. Pro Italy 12 55 0.4× 64 0.6× 13 0.3× 38 0.8× 44 0.9× 43 366
Xiaoyan Bai China 11 108 0.7× 75 0.7× 38 0.7× 20 0.4× 10 0.2× 40 316

Countries citing papers authored by Shaobing Dai

Since Specialization
Citations

This map shows the geographic impact of Shaobing Dai'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 Shaobing Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaobing Dai more than expected).

Fields of papers citing papers by Shaobing Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shaobing Dai. 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 Shaobing Dai. The network helps show where Shaobing Dai may publish in the future.

Co-authorship network of co-authors of Shaobing Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Shaobing Dai. A scholar is included among the top collaborators of Shaobing Dai 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 Shaobing Dai. Shaobing Dai 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.
2.
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
3.
Dai, Shaobing, et al.. (2023). Comparison of Dural Puncture Epidural, Epidural and Combined Spinal-Epidural Anesthesia for Cesarean Delivery: A Randomized Controlled Trial. Drug Design Development and Therapy. Volume 17. 2077–2085. 7 indexed citations
4.
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 →
5.
Zheng, Ran, Yiqun Yan, Shaobing Dai, et al.. (2023). ASC specks exacerbate α‑synuclein pathology via amplifying NLRP3 inflammasome activities. Journal of Neuroinflammation. 20(1). 26–26. 21 indexed citations
6.
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8.
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
9.
Tian, Jun, Shaobing Dai, Sisi Jiang, et al.. (2022). Specific immune status in Parkinson’s disease at different ages of onset. npj Parkinson s Disease. 8(1). 5–5. 37 indexed citations
10.
Gu, Luyan, Shaobing Dai, Tao Guo, et al.. (2022). Noninvasive neuroimaging provides evidence for deterioration of the glymphatic system in Parkinson's disease relative to essential tremor. Parkinsonism & Related Disorders. 107. 105254–105254. 35 indexed citations
11.
Xu, Lili, Qi Xu, Shaobing Dai, et al.. (2021). lncRNA Xist regulates sevoflurane-induced social and emotional impairment by modulating miR-98-5p/EDEM1 signaling axis in neonatal mice. Molecular Therapy — Nucleic Acids. 24. 939–950. 9 indexed citations
12.
Zhang, Liang, Luyan Gu, Shaobing Dai, et al.. (2021). Associations of Body Mass Index-Metabolic Phenotypes with Cognitive Decline in Parkinson’s Disease. European Neurology. 85(1). 24–30. 3 indexed citations
13.
Gu, Luyan, Shaobing Dai, Cheng Zhou, et al.. (2021). The effect of the PARK16 rs11240572 variant on brain structure in Parkinson's disease. Brain Structure and Function. 226(8). 2665–2673. 3 indexed citations
14.
15.
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
16.
Xu, Lili, et al.. (2020). Tetramethylpyrazine Attenuated Sevoflurane-Induced Neurotoxicity by Enhancing Autophagy through GPR50/CREB Pathway in SH-SY5Y Cells. The American Journal of Chinese Medicine. 48(4). 945–966. 14 indexed citations
17.
Xu, Lili, et al.. (2020). Evaluation of 2 ultrasonic indicators as predictors of difficult laryngoscopy in pregnant women. Medicine. 99(3). e18305–e18305. 11 indexed citations
18.
Pu, Jiali, Shaobing Dai, Ting Gao, et al.. (2019). Nystagmus‐related FRMD7 gene influences the maturation and complexities of neuronal processes in human neurons. Brain and Behavior. 9(12). e01473–e01473. 5 indexed citations
19.
Pu, Jiali, Xinzhong Chen, Shaobing Dai, Ting Shen, & Tingting Zheng. (2018). Plasmid-based generation of neural cells from human fibroblasts using non-integrating episomal vectors. Neural Regeneration Research. 14(3). 501–501. 6 indexed citations
20.
Marti, Bernard, et al.. (1990). Gesamtcholesterin, HDL-Cholesterin und Blutdruck in Abhängigkeit vom Lebensstil: Ergebnisse der ersten Bevölkerungsstudie des Schweizer MONICA-Projekts. Schweizerische medizinische Wochenschrift. 120. 1976–1988. 3 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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