Liying Cui

5.8k total citations
226 papers, 3.5k citations indexed

About

Liying Cui is a scholar working on Neurology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Liying Cui has authored 226 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 161 papers in Neurology, 60 papers in Genetics and 37 papers in Cellular and Molecular Neuroscience. Recurrent topics in Liying Cui's work include Amyotrophic Lateral Sclerosis Research (93 papers), Neurogenetic and Muscular Disorders Research (58 papers) and Parkinson's Disease Mechanisms and Treatments (47 papers). Liying Cui is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (93 papers), Neurogenetic and Muscular Disorders Research (58 papers) and Parkinson's Disease Mechanisms and Treatments (47 papers). Liying Cui collaborates with scholars based in China, United States and Japan. Liying Cui's co-authors include Mingsheng Liu, Jun Ni, Dongchao Shen, Zhengyu Jin, Zhang‐Yu Zou, Xiaoguang Li, Ming Yao, Mingli Li, Qingyun Ding and William J. Evans and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.

In The Last Decade

Liying Cui

213 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liying Cui China 30 2.0k 723 593 549 465 226 3.5k
Michele Lanotte Italy 43 2.9k 1.4× 392 0.5× 842 1.4× 650 1.2× 354 0.8× 140 6.2k
Noriyuki Matsukawa Japan 30 1.1k 0.5× 393 0.5× 553 0.9× 1.1k 2.0× 276 0.6× 177 3.8k
Toshiki Mizuno Japan 37 2.0k 1.0× 300 0.4× 793 1.3× 1.2k 2.2× 374 0.8× 239 4.3k
Niklas Norgren Sweden 24 2.4k 1.2× 359 0.5× 586 1.0× 1.2k 2.2× 531 1.1× 26 4.6k
Minoru Fujiki Japan 27 721 0.4× 309 0.4× 606 1.0× 372 0.7× 442 1.0× 155 2.6k
Naoki Tajiri United States 37 1.2k 0.6× 941 1.3× 1.1k 1.9× 1.5k 2.7× 648 1.4× 102 4.3k
Jae‐Kyu Roh South Korea 43 1.9k 0.9× 466 0.6× 729 1.2× 1.6k 2.9× 1.4k 2.9× 120 5.8k
Yuji Kaneko United States 36 892 0.4× 1.0k 1.4× 952 1.6× 1.3k 2.3× 596 1.3× 90 3.6k
Christian Woiciechowsky Germany 27 570 0.3× 792 1.1× 537 0.9× 424 0.8× 632 1.4× 71 3.3k
Terry Heiman‐Patterson United States 35 1.9k 1.0× 1.1k 1.6× 474 0.8× 952 1.7× 162 0.3× 95 3.5k

Countries citing papers authored by Liying Cui

Since Specialization
Citations

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

Fields of papers citing papers by Liying Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liying Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Liying Cui. A scholar is included among the top collaborators of Liying Cui 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 Liying Cui. Liying Cui 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.
Zhang, Ding-Ding, Fei Han, Lixin Zhou, et al.. (2025). Clonal Hematopoiesis of Indeterminate Potential Associated with Covert Cerebral Changes. Annals of Neurology. 98(4). 826–836. 1 indexed citations
2.
Xia, Huiyun, et al.. (2024). Preparation and performance of self-cleaning synergistic visible light catalytic coatings based on N-CQDs/Bi2WO6 for NO degradation. Journal of Cleaner Production. 481. 144146–144146. 5 indexed citations
3.
Niu, Yanhui, Huiyun Xia, Ningning Li, et al.. (2024). Surface microstructure regulation of a novel N-CQDs /C3N4/Bi2WO6 self-cleaning synergistic photocatalytic degradation of NO coating. Separation and Purification Technology. 356. 130023–130023. 9 indexed citations
4.
Shen, Dongchao, Xunzhe Yang, Kang Zhang, et al.. (2024). Clinical and genetic characteristics of 1672 cases of amyotrophic lateral sclerosis in China: a single-center retrospective study. Journal of Neurology. 271(8). 5541–5548. 5 indexed citations
5.
6.
Li, Wenxin, Jing Yuan, Fei Han, et al.. (2023). White matter and gray matter changes related to cognition in community populations. Frontiers in Aging Neuroscience. 15. 1065245–1065245. 13 indexed citations
7.
Li, Yi, et al.. (2023). Split Phenomenon of Fasciculation between Antagonistic Muscles in Amyotrophic Lateral Sclerosis: An Ultrasound Study. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 51(2). 187–195.
8.
Fan, Jing, Yi Li, Jingwen Niu, et al.. (2023). The cross-sectional area of peripheral nerve in amyotrophic lateral sclerosis: A case-control study. Clinical Neurology and Neurosurgery. 231. 107847–107847. 2 indexed citations
9.
Cui, Liying, Jin Li, Yunzi Li, et al.. (2023). Astrocytic purinergic signalling contributes to the development and maintenance of neuropathic pain via modulation of glutamate release. Journal of Neurochemistry. 168(11). 3727–3744. 8 indexed citations
10.
Mao, Chenhui, Jie Li, Liling Dong, et al.. (2021). White matter hyperintensities and patterns of atrophy in early onset Alzheimer’s disease with causative gene mutations. Clinical Neurology and Neurosurgery. 203. 106552–106552. 7 indexed citations
11.
Li, Jie, Yong Fan, Bo Hou, et al.. (2021). A longitudinal observation of brain structure between AD and FTLD. Clinical Neurology and Neurosurgery. 205. 106604–106604. 4 indexed citations
12.
Si, Xiaoyan, Jinwan Wang, Ying Cheng, et al.. (2020). A phase III, randomized, double-blind, controlled trial of carboxyamidotriazole plus chemotherapy for the treatment of advanced non-small cell lung cancer. Therapeutic Advances in Medical Oncology. 12. 3863580889–3863580889. 11 indexed citations
13.
Mao, Chenhui, Longze Sha, Caiyan Liu, et al.. (2020). Cerebrospinal Fluid Alzheimer’s Biomarkers and Neurofilament Light Profile of Idiopathic Normal Pressure Hydrocephalus in China: A PUMCH Cohort Study. Neurodegenerative Diseases. 20(5-6). 165–172. 5 indexed citations
14.
Zhai, Fei‐Fei, Fei Han, Lixin Zhou, et al.. (2020). Cerebral Microbleeds Are Associated with Loss of White Matter Integrity. American Journal of Neuroradiology. 41(8). 1397–1404. 15 indexed citations
15.
Lu, Yang, Xinmiao Jia, Xudong Liu, et al.. (2020). Four novel optineurin mutations in patients with sporadic amyotrophic lateral sclerosis in Mainland China. Neurobiology of Aging. 97. 149.e1–149.e8. 7 indexed citations
16.
Yuan, Jing, Bin Peng, Hongzhi Guan, et al.. (2016). [Immunotherapy strategy for 35 cases of severe anti-N-methyl-D-aspartate receptor encephalitis].. PubMed. 96(13). 1035–9. 6 indexed citations
17.
Zheng, Ke, Bo Hou, Hui You, et al.. (2015). Brain magnetic resonance and cognitive function changes in maintenance hemodialysis patients. 31(4). 277–282. 1 indexed citations
18.
Guan, Yuzhou, et al.. (2011). Manifestations of autonomic nervous system in Lambert-Eaton myasthenic syndrome. Chin J Neurol. 44(12). 841–843. 1 indexed citations
19.
Li, Xiaoguang, et al.. (2010). Screening of mutations in superoxide dismutase 1 gene in Chinese with familiar amyotrophic lateral sclerosis. Chin J Neurol. 43(10). 686–691. 1 indexed citations
20.

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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