Chun‐Feng Liu

30.2k total citations · 3 hit papers
553 papers, 9.9k citations indexed

About

Chun‐Feng Liu is a scholar working on Neurology, Epidemiology and Molecular Biology. According to data from OpenAlex, Chun‐Feng Liu has authored 553 papers receiving a total of 9.9k indexed citations (citations by other indexed papers that have themselves been cited), including 177 papers in Neurology, 127 papers in Epidemiology and 105 papers in Molecular Biology. Recurrent topics in Chun‐Feng Liu's work include Parkinson's Disease Mechanisms and Treatments (138 papers), Neurological disorders and treatments (42 papers) and Acute Ischemic Stroke Management (38 papers). Chun‐Feng Liu is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (138 papers), Neurological disorders and treatments (42 papers) and Acute Ischemic Stroke Management (38 papers). Chun‐Feng Liu collaborates with scholars based in China, United States and Australia. Chun‐Feng Liu's co-authors include Li‐Fang Hu, Fen Wang, Chengjie Mao, Yaping Yang, Yongjun Cao, Shoujiang You, Xingshun Xu, Yanlin Zhang, Yali Wang and Yun Shen and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Nature Communications.

In The Last Decade

Chun‐Feng Liu

519 papers receiving 9.8k citations

Hit Papers

Circadian disruption and sleep disorders in neurodegenera... 2023 2026 2024 2025 2023 2024 2025 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chun‐Feng Liu China 51 2.9k 2.2k 2.0k 1.5k 1.4k 553 9.9k
Gang Chen China 61 4.9k 1.7× 3.4k 1.6× 2.1k 1.0× 1.1k 0.8× 2.6k 1.9× 415 12.7k
Zhong Wang China 50 2.8k 1.0× 1.6k 0.7× 1.5k 0.8× 648 0.4× 995 0.7× 380 8.2k
Jianmin Zhang China 56 3.1k 1.1× 2.7k 1.2× 1.6k 0.8× 775 0.5× 1.8k 1.4× 392 10.5k
Guanghui Wang China 61 6.6k 2.3× 1.7k 0.8× 2.0k 1.0× 1.1k 0.7× 803 0.6× 415 12.8k
Norihiro Suzuki Japan 66 4.8k 1.7× 4.6k 2.1× 2.2k 1.1× 2.5k 1.6× 1.7k 1.2× 749 17.7k
Robert N. Weinreb United States 106 7.8k 2.7× 1.7k 0.8× 2.6k 1.3× 1.3k 0.8× 2.4k 1.8× 1.1k 50.1k
Soon‐Tae Lee South Korea 56 4.2k 1.5× 3.2k 1.5× 1.5k 0.8× 1.1k 0.7× 1.3k 0.9× 341 12.9k
Pramod K. Dash United States 65 5.1k 1.8× 3.0k 1.4× 2.0k 1.0× 878 0.6× 1.2k 0.9× 261 13.0k
Johannes Klein Germany 51 1.7k 0.6× 2.3k 1.1× 2.6k 1.3× 2.8k 1.8× 550 0.4× 185 10.2k
Yuchuan Ding United States 50 2.1k 0.7× 2.8k 1.3× 2.6k 1.3× 897 0.6× 2.7k 2.0× 422 10.3k

Countries citing papers authored by Chun‐Feng Liu

Since Specialization
Citations

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

Fields of papers citing papers by Chun‐Feng Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun‐Feng Liu. 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 Chun‐Feng Liu. The network helps show where Chun‐Feng Liu may publish in the future.

Co-authorship network of co-authors of Chun‐Feng Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Chun‐Feng Liu. A scholar is included among the top collaborators of Chun‐Feng Liu 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 Chun‐Feng Liu. Chun‐Feng Liu 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
2.
Huang, Yuxuan, Zhaoxia Wang, Chun‐Feng Liu, et al.. (2025). The mTOR Signaling Pathway: Key Regulator and Therapeutic Target for Heart Disease. Biomedicines. 13(2). 397–397. 7 indexed citations
3.
Wu, Jiajing, Sheng Zhuang, Fan Gao, et al.. (2025). Clinical Effect on Cortical Reactivity of Theta Burst Versus High‐Frequency Repetitive Transcranial Magnetic Stimulation in Parkinson's Disease: A TMSEEG Study. CNS Neuroscience & Therapeutics. 31(9). e70605–e70605.
4.
Gong, Wenyu, Lu Gan, Yikun Zhu, et al.. (2025). Dual GIP and GLP-1 receptor agonist tirzepatide alleviates hepatic steatosis and modulates gut microbiota and bile acid metabolism in diabetic mice. International Immunopharmacology. 147. 113937–113937. 16 indexed citations breakdown →
5.
You, Shoujiang, Danni Zheng, Xiaoying Chen, et al.. (2025). Subacute Neurological Improvement Predicts Favorable Functional Recovery After Intracerebral Hemorrhage: INTERACT2 Study. Stroke. 56(3). 621–627. 2 indexed citations
6.
Li, Shimeng, Zhichao Liu, Xiaodan Jiao, et al.. (2024). Selpercatinib attenuates bleomycin-induced pulmonary fibrosis by inhibiting the TGF-β1 signaling pathway. Biochemical Pharmacology. 225. 116282–116282. 2 indexed citations
7.
Liu, Sha, Mingxuan Zheng, Xing Ge, et al.. (2024). Gut microbiota dysbiosis contributes to α-synuclein-related pathology associated with C/EBPβ/AEP signaling activation in a mouse model of Parkinson's disease. Neural Regeneration Research. 19(9). 2081–2088. 18 indexed citations
8.
Chen, Shuang, et al.. (2024). Attention-enhanced dilated convolution for Parkinson’s disease detection using transcranial sonography. BioMedical Engineering OnLine. 23(1). 76–76. 2 indexed citations
11.
Yang, Xuezhi, et al.. (2024). A new machine learning model to predict the prognosis of cardiogenic brain infarction. Computers in Biology and Medicine. 178. 108600–108600. 1 indexed citations
12.
Wu, Jiayu, Yiming Wang, Yuan Yuan, et al.. (2024). Changes in slow-wave sleep characteristics in Parkinson's disease patients with mild-moderate depression. Sleep Medicine. 121. 219–225. 1 indexed citations
13.
Qiu, Huijun, Chun‐Feng Liu, Qingwu Wu, et al.. (2024). An in vitro study of the impact of IL-17A and IL-22 on ciliogenesis in nasal polyps epithelium via the Hippo-YAP pathway. Journal of Allergy and Clinical Immunology. 154(5). 1180–1194. 7 indexed citations
14.
Fang, Yuan, Chun‐Feng Liu, Borui Zhang, et al.. (2024). A systematic review of the benefits and mechanisms of family-based mind-body therapy programs targeting families of children and adolescents with attention-deficit/hyperactivity disorder. Journal of Social and Personal Relationships. 41(8). 2219–2250.
15.
Liu, Junyi, Dongqin Chen, Manhua Liu, et al.. (2023). How sleep quality affects activities of daily living in Parkinson’s disease: the mediating role of disease severity and the moderating role of cognition. Frontiers in Aging Neuroscience. 15. 1238588–1238588. 2 indexed citations
16.
Xu, Jiaping, Lixuan Wang, Jiayun Wang, et al.. (2023). The prognostic value of deep earlobe creases in patients with acute ischemic stroke. Frontiers in Cardiovascular Medicine. 10. 1096044–1096044. 1 indexed citations
17.
Mao, Chengjie, Zhaohui Lu, Rongfang Shi, et al.. (2023). Sarcopenia is associated with non-motor symptoms in Han Chinese patients with Parkinson's Disease: a cross-sectional study. BMC Geriatrics. 23(1). 494–494. 6 indexed citations
18.
Shi, Jijun, Hao Peng, Shoujiang You, et al.. (2018). Increase in neutrophils after recombinant tissue plasminogen activator thrombolysis predicts poor functional outcome of ischaemic stroke: a longitudinal study. European Journal of Neurology. 25(4). 687–687. 45 indexed citations
19.
Zhang, Yuan, Jun Zhang, Dongsheng Jiang, et al.. (2012). Inhibition of T‐type Ca2+channels by endostatin attenuates human glioblastoma cell proliferation and migration. British Journal of Pharmacology. 166(4). 1247–1260. 88 indexed citations
20.
Shi, Jijun, Yaping Yang, Jun Li, et al.. (2011). HDAC6 regulates aggresome‐autophagy degradation pathway of α‐synuclein in response to MPP+‐induced stress. Journal of Neurochemistry. 117(1). 112–120. 56 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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