Yusha Cui

1.1k citations
14 papers · 494 · 2 hit papers · h-index 7

Impact in

Papers in

    • Parkinson's Disease Mechanisms and Treatments 11
    • Neurological disorders and treatments 4
    • Functional Brain Connectivity Studies 2

Yusha Cui

13 papers receiving 482 citations

Yusha Cui's Hit Papers

Projections for prevalence of Parkinson’s disease and its driving factors in 195 countries and territories to 2050: modelling study of Global Burden of Disease Study 2021 2025 · 231 citations
2310+1Years since publication50100150200

Peers

Yusha Cui
Comparison fields: 5 of 79
  • Neurology 308
  • Physical Therapy, Sports Therapy and Rehabilitation 31
  • Neurology 34
  • Urology 11
  • Complementary and alternative medicine 12
Replace Zhan Wang with:
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Brandon R. Barton United States
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Yusha Cui relative to Zhan Wang China Zhan Wang's profile →
Citations per field
00.5×2×3×4.3×
Zhan Wang · 1×
Citations per year

Countries citing papers authored by Yusha Cui

Since Specialization
Citations

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

Fields of papers citing papers by Yusha Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yusha Cui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yusha Cui Line = papers co-authored together Yusha Cui links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Projections for prevalence of Parkinson’s disease and its driving factors in 195 countries and territories to 2050: modelling study of Global Burden of Disease Study 2021
Hit paper breakdown →
2025231
2
Temporal trends in the prevalence of Parkinson's disease from 1980 to 2023: a systematic review and meta-analysis
Hit paper breakdown →
2024156
3 202221
4 202219
5 202218
6 202317
7 20227
8 20225
9 20245
10 20255
11 20255
12 20233
13 20252
14 20250

About Yusha Cui

Yusha Cui is a scholar working on Neurology, Cognitive Neuroscience, Urology, Psychiatry and Mental health and Surgery, having authored 14 papers that have together received 494 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (11 papers), Neurological disorders and treatments (4 papers), Functional Brain Connectivity Studies (2 papers), Dementia and Cognitive Impairment Research (1 paper), Urinary Bladder and Prostate Research (1 paper) and Scoliosis diagnosis and treatment (1 paper). The work is most often cited by research in Neurology (308 citations), Physical Therapy, Sports Therapy and Rehabilitation (31 citations), Neurology (34 citations), Urology (11 citations) and Complementary and alternative medicine (12 citations). Yusha Cui has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Tao Feng, Dongning Su, Jinqiao Zhu, Dong Bing Zhao, Anxin Wang, Junjiao Zhang, Joyce S. T. Lam, Xiaoqing Zheng, Peng Yin and Maigeng Zhou. Their work appears in journals such as Movement Disorders, Frontiers in Aging Neuroscience, Journal of Neurology, EClinicalMedicine and The Lancet Healthy Longevity.

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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