Cuibai Wei

5.3k total citations · 1 hit paper
47 papers, 1.3k citations indexed

About

Cuibai Wei is a scholar working on Physiology, Psychiatry and Mental health and Molecular Biology. According to data from OpenAlex, Cuibai Wei has authored 47 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Physiology, 18 papers in Psychiatry and Mental health and 17 papers in Molecular Biology. Recurrent topics in Cuibai Wei's work include Alzheimer's disease research and treatments (21 papers), Dementia and Cognitive Impairment Research (17 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). Cuibai Wei is often cited by papers focused on Alzheimer's disease research and treatments (21 papers), Dementia and Cognitive Impairment Research (17 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). Cuibai Wei collaborates with scholars based in China, United States and Canada. Cuibai Wei's co-authors include Jianping Jia, Longfei Jia, Yi Tang, Fen Wang, Meina Quan, Junjian Zhang, Serge Gauthier, Qi Qin, Yuchen Qiao and Qiumin Qu and has published in prestigious journals such as The Lancet Neurology, Brain Research and Neurobiology of Aging.

In The Last Decade

Cuibai Wei

44 papers receiving 1.3k citations

Hit Papers

Dementia in China: epidemiology, clinical management, and... 2019 2026 2021 2023 2019 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cuibai Wei China 17 421 396 387 238 107 47 1.3k
Shengliang Shi China 12 322 0.8× 356 0.9× 327 0.8× 261 1.1× 106 1.0× 28 1.2k
Chunkui Zhou China 11 315 0.7× 350 0.9× 269 0.7× 174 0.7× 118 1.1× 27 1.1k
Qi Qin China 14 324 0.8× 277 0.7× 347 0.9× 332 1.4× 49 0.5× 38 1.3k
Carrie Peltz United States 22 338 0.8× 612 1.5× 533 1.4× 169 0.7× 57 0.5× 43 1.6k
Lena Kilander Sweden 25 496 1.2× 437 1.1× 868 2.2× 275 1.2× 57 0.5× 42 1.9k
Jiewen Zhang China 19 376 0.9× 636 1.6× 466 1.2× 439 1.8× 177 1.7× 87 2.0k
Ru‐Jing Ren China 22 239 0.6× 632 1.6× 572 1.5× 201 0.8× 257 2.4× 54 1.5k
Sven J. van der Lee Netherlands 21 266 0.6× 370 0.9× 536 1.4× 152 0.6× 37 0.3× 60 1.6k
Ya-Ru Zhang China 24 346 0.8× 333 0.8× 453 1.2× 353 1.5× 34 0.3× 74 1.6k
Ya‐Hui Ma China 23 580 1.4× 318 0.8× 629 1.6× 398 1.7× 44 0.4× 94 2.2k

Countries citing papers authored by Cuibai Wei

Since Specialization
Citations

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

Fields of papers citing papers by Cuibai Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cuibai Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Cuibai Wei. A scholar is included among the top collaborators of Cuibai Wei 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 Cuibai Wei. Cuibai Wei 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, Pin, Jin Gong, Wenxian Sun, et al.. (2025). The disease burden, risk factors and future predictions of Alzheimer's disease and other types of dementia in Asia from 1990 to 2021. The Journal of Prevention of Alzheimer s Disease. 12(5). 100122–100122. 10 indexed citations
2.
Sun, Wenxian, Yufei Chen, Yuting Yang, et al.. (2024). Characteristics and Transcriptomic Analysis of Cholinergic Neurons Derived from Induced Pluripotent Stem Cells with APP Mutation in Alzheimer’s Disease. Journal of Alzheimer s Disease. 101(2). 637–649. 2 indexed citations
3.
Chen, Yufei & Cuibai Wei. (2024). Semantic Variant of Primary Progressive Aphasia With Glycine Receptor α1 Autoantibodies. JAMA Neurology. 81(7). 771–771.
4.
Wei, Cuibai, et al.. (2024). Causal Relationship Between Ferritin and Neuropsychiatric Disorders: A Two-Sample Mendelian Randomization Study. Journal of Alzheimer s Disease Reports. 8(1). 257–266. 1 indexed citations
5.
Gong, Jin, S. Li, Pin Wang, et al.. (2024). Bibliometric analysis of neuroinflammation and Alzheimer’s disease. Frontiers in Aging Neuroscience. 16. 1423139–1423139. 5 indexed citations
7.
8.
Wei, Cuibai, Xinliang Lu, Qi Zou, et al.. (2022). Generation and characterization of a human induced pluripotent stem cell line (XWHNi001-A) derived from an Alzheimer's disease patient with mutation in the APP gene. Stem Cell Research. 60. 102690–102690. 2 indexed citations
9.
Wang, Fen, Aihong Zhou, Cuibai Wei, et al.. (2022). Good Performance of the Chinese Version of Mini Social Cognition and Emotional Assessment in the Early Diagnosis of Behavioral Variant Frontotemporal Dementia. Frontiers in Neurology. 13. 827945–827945. 3 indexed citations
10.
Qin, Qi, Liping Fu, Ruimin Wang, et al.. (2021). Prominent Striatum Amyloid Retention in Early-Onset Familial Alzheimer's Disease With PSEN1 Mutations: A Pilot PET/MR Study. Frontiers in Aging Neuroscience. 13. 732159–732159. 4 indexed citations
11.
Wei, Cuibai, Qi Zou, Wei Zhang, et al.. (2021). A Comparative Study of Structural and Metabolic Brain Networks in Patients With Mild Cognitive Impairment. Frontiers in Aging Neuroscience. 13. 774607–774607. 10 indexed citations
12.
Xing, Yi, Jianwei Yang, Aihong Zhou, et al.. (2021). White Matter Fractional Anisotropy Is a Superior Predictor for Cognitive Impairment Than Brain Volumes in Older Adults With Confluent White Matter Hyperintensities. Frontiers in Psychiatry. 12. 633811–633811. 10 indexed citations
14.
Wang, Wei, Cuibai Wei, Meina Quan, Tingting Li, & Jianping Jia. (2020). Sulforaphane Reverses the Amyloid-β Oligomers Induced Depressive-Like Behavior. Journal of Alzheimer s Disease. 78(1). 127–137. 24 indexed citations
15.
Wei, Cuibai, Qi Qin, Fei Chen, et al.. (2019). Adult-onset vanishing white matter disease with the EIF2B2 gene mutation presenting as menometrorrhagia. BMC Neurology. 19(1). 203–203. 11 indexed citations
16.
Jia, Longfei, Meina Quan, Yue Fu, et al.. (2019). Dementia in China: epidemiology, clinical management, and research advances. The Lancet Neurology. 19(1). 81–92. 576 indexed citations breakdown →
17.
Wei, Cuibai, Jianping Jia, Wang Fen, et al.. (2016). Overlap between Headache, Depression, and Anxiety in General Neurological Clinics. Chinese Medical Journal. 129(12). 1394–1399. 14 indexed citations
18.
Liang, Junhua, Fang Li, Cuibai Wei, et al.. (2014). Rationale and Design of a Multicenter, Phase 2 Clinical Trial to Investigate the Efficacy of Traditional Chinese Medicine SaiLuoTong in Vascular Dementia. Journal of Stroke and Cerebrovascular Diseases. 23(10). 2626–2634. 11 indexed citations
19.
Wang, Fen, Chang Shu, Longfei Jia, et al.. (2010). Exploration of 16 candidate genes identifies the association of IDE with Alzheimer's disease in Han Chinese. Neurobiology of Aging. 33(5). 1014.e1–1014.e9. 21 indexed citations
20.
Chen, Yan, Longfei Jia, Cuibai Wei, et al.. (2008). Association between polymorphisms in the apolipoprotein D gene and sporadic Alzheimer's disease. Brain Research. 1233. 196–202. 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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