Liying Cui

8.7k total citations · 1 hit paper
180 papers, 5.2k citations indexed

About

Liying Cui is a scholar working on Neurology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Liying Cui has authored 180 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Neurology, 53 papers in Molecular Biology and 22 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Liying Cui's work include Cerebrovascular and Carotid Artery Diseases (19 papers), Autoimmune Neurological Disorders and Treatments (16 papers) and Acute Ischemic Stroke Management (15 papers). Liying Cui is often cited by papers focused on Cerebrovascular and Carotid Artery Diseases (19 papers), Autoimmune Neurological Disorders and Treatments (16 papers) and Acute Ischemic Stroke Management (15 papers). Liying Cui collaborates with scholars based in China, United States and Japan. Liying Cui's co-authors include Claude W. dePamphilis, Jim Leebens‐Mack, Bin Peng, P. Kerr Wall, Ming Yao, Hong Mā, Haitao Ren, Jun Ni, Jingxia Wang and Lei Jiang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Liying Cui

169 papers receiving 5.2k citations

Hit Papers

Widespread genome duplications throughout the history of ... 2006 2026 2012 2019 2006 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
Liying Cui China 37 2.1k 950 927 636 570 180 5.2k
Masahiko Watanabe Japan 43 1.4k 0.7× 215 0.2× 293 0.3× 335 0.5× 780 1.4× 408 7.7k
Yuyan Chen China 40 2.0k 0.9× 596 0.6× 1.3k 1.4× 362 0.6× 84 0.1× 205 6.0k
Lukas H. Margaritis Greece 35 2.1k 1.0× 490 0.5× 357 0.4× 469 0.7× 255 0.4× 139 5.2k
Hong Ma China 55 7.5k 3.5× 403 0.4× 366 0.4× 1.9k 2.9× 258 0.5× 283 11.8k
Kenshi Hayashi Japan 40 4.1k 1.9× 220 0.2× 528 0.6× 1.2k 1.8× 92 0.2× 267 9.1k
Michael Cho South Korea 46 2.3k 1.1× 131 0.1× 341 0.4× 293 0.5× 88 0.2× 310 7.6k
Atsushi Suzuki Japan 46 4.2k 2.0× 89 0.1× 198 0.2× 555 0.9× 385 0.7× 269 9.0k
Yasuhiro Ito Japan 40 2.5k 1.2× 111 0.1× 2.2k 2.3× 180 0.3× 200 0.4× 170 6.2k
Shinya Tanaka Japan 55 5.2k 2.4× 519 0.5× 309 0.3× 794 1.2× 34 0.1× 420 12.0k
Anna Akhmanova Netherlands 73 12.2k 5.7× 364 0.4× 1.5k 1.6× 1.3k 2.0× 89 0.2× 240 18.8k

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.
Guo, Wei, et al.. (2024). Water-resistant adhesive tackified by dynamic adhesion factor of nucleotide. Chemical Engineering Journal. 498. 155710–155710. 8 indexed citations
2.
Liu, Ziyue, Fei‐Fei Zhai, Fei Han, et al.. (2024). Automated diffusion‐weighted image analysis along the perivascular space index reveals glymphatic dysfunction in association with brain parenchymal lesions. Human Brain Mapping. 45(11). e26790–e26790. 3 indexed citations
3.
Yao, Ming, Jing Yuan, Fei Han, et al.. (2024). Association of Rare NOTCH3 Variants With Prevalent and Incident Stroke and Dementia in the General Population. Journal of the American Heart Association. 13(4). e032668–e032668.
4.
Dong, Liling, Caiyan Liu, Chenhui Mao, et al.. (2023). Genotypic and phenotypic heterogeneity among Chinese pediatric genetic white matter disorders. ˜The œItalian Journal of Pediatrics/Italian journal of pediatrics. 49(1). 155–155. 2 indexed citations
5.
Zhang, Dingding, Lixin Zhou, Ming Yao, et al.. (2023). The prevalence and prognosis of asymptomatic intracranial atherosclerosis in a community‐based population: Results based on high‐resolution magnetic resonance imaging. European Journal of Neurology. 30(12). 3761–3771. 6 indexed citations
6.
Liu, Ziyue, Fei‐Fei Zhai, Fei Han, et al.. (2023). Pattern of Brain Parenchymal Damage Related to Cerebral Small Vessel Disease in Carriers of Rare NOTCH3 Variants. Neurology. 101(20). e1979–e1991. 1 indexed citations
7.
Zhang, Dingding, Yiming Liu, Feng Gao, et al.. (2022). Different Types of Circulatory Inflammatory Biomarkers Associated with Cerebral Arterial Atherosclerosis and Dolichoectasia. Cerebrovascular Diseases. 51(5). 655–662. 4 indexed citations
8.
Yang, Xunzhe, Xiaohai Sun, Liyang Liu, et al.. (2022). Mutation spectrum of chinese amyotrophic lateral sclerosis patients with frontotemporal dementia. Orphanet Journal of Rare Diseases. 17(1). 5 indexed citations
9.
Ni, Jun, Ming Yao, Lihua Wang, et al.. (2021). Human urinary kallidinogenase in acute ischemic stroke: A single‐arm, multicenter, phase IV study (RESK study). CNS Neuroscience & Therapeutics. 27(12). 1493–1503. 13 indexed citations
10.
Cao, Yuze, Ning Su, Dingding Zhang, et al.. (2020). Correlation between total homocysteine and cerebral small vessel disease: A Mendelian randomization study. European Journal of Neurology. 28(6). 1931–1938. 35 indexed citations
11.
Xu, Xiaolu, Qiang Lü, Yan Huang, et al.. (2019). Anti-NMDAR encephalitis. Neurology Neuroimmunology & Neuroinflammation. 7(1). 109 indexed citations
12.
Dai, Yi, Pidong Li, Zhiqiang Wang, et al.. (2019). Single-molecule optical mapping enables quantitative measurement of D4Z4 repeats in facioscapulohumeral muscular dystrophy (FSHD). Journal of Medical Genetics. 57(2). 109–120. 47 indexed citations
13.
Lü, Qiang, Yan Huang, Xiangqin Zhou, et al.. (2018). TTTCA repeat expansion causes familial cortical myoclonic tremor with epilepsy. European Journal of Neurology. 26(3). 513–518. 32 indexed citations
14.
Zhu, Chenyu, Haitao Ren, Xunzhe Yang, et al.. (2017). Resection of melanocytic nevi as a potential treatment of anti-NMDAR encephalitis patients without tumor: report of three cases. Neurological Sciences. 39(1). 165–167. 4 indexed citations
15.
Lü, Qiang, Hongzhi Guan, Haitao Ren, et al.. (2016). Clinical observation of rituximab in three patients with anti-N-methyl-D-aspartate receptor encephalitis. 49(1). 30–34.
16.
Guan, Hongzhi, et al.. (2013). Eosinophilic meningitis caused by infection of Angiostrongylus cantonensis in a traveler. SHILAP Revista de lepidopterología. 2 indexed citations
18.
Liu, Qing, et al.. (2010). Analysis of a case of Wallerian degeneration after stroke. Chin J Neurol. 43(11). 778–780. 1 indexed citations
19.
Li, Xiaoguang, et al.. (2009). Association between DPP6 polymorphism and the risk of sporadic amyotrophic lateral sclerosis in Chinese patients. Chin J Neurol. 42(5). 332–335. 14 indexed citations
20.
Leebens‐Mack, Jim, Linda A. Raubeson, Liying Cui, et al.. (2005). Identifying the Basal Angiosperm Node in Chloroplast Genome Phylogenies: Sampling One's Way \nOut of the Felsenstein Zone. eScholarship (California Digital Library). 217 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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