Shuke Nie

2.0k total citations · 1 hit paper
46 papers, 1.2k citations indexed

About

Shuke Nie is a scholar working on Neurology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Shuke Nie has authored 46 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Neurology, 11 papers in Molecular Biology and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in Shuke Nie's work include Parkinson's Disease Mechanisms and Treatments (13 papers), Neuroscience and Neuropharmacology Research (7 papers) and Water resources management and optimization (6 papers). Shuke Nie is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (13 papers), Neuroscience and Neuropharmacology Research (7 papers) and Water resources management and optimization (6 papers). Shuke Nie collaborates with scholars based in China, United States and Canada. Shuke Nie's co-authors include Guohe Huang, Yongping Li, Xuebing Cao, Guiqin Chen, Yunjian Zhang, Zhentao Zhang, X.H. Nie, Zhaohui Zhang, Guoxin Zhang and Kang Zhao and has published in prestigious journals such as Journal of Clinical Investigation, Nature Neuroscience and European Journal of Operational Research.

In The Last Decade

Shuke Nie

43 papers receiving 1.2k citations

Hit Papers

Propagation of pathologic α-synuclein from kidney to brai... 2025 2026 2025 5 10 15

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuke Nie China 17 265 232 200 193 142 46 1.2k
Linmei Zhang China 20 380 1.4× 35 0.2× 99 0.5× 69 0.4× 19 0.1× 66 1.2k
Chao Du China 22 493 1.9× 21 0.1× 84 0.4× 75 0.4× 42 0.3× 76 1.1k
Xing Li China 19 274 1.0× 63 0.3× 15 0.1× 236 1.2× 8 0.1× 87 1.4k
Cai Li China 22 944 3.6× 29 0.1× 41 0.2× 247 1.3× 27 0.2× 87 2.2k
Takayuki Matsuo Japan 20 456 1.7× 19 0.1× 291 1.5× 59 0.3× 12 0.1× 163 1.7k
Hongjuan Dong China 14 242 0.9× 24 0.1× 89 0.4× 34 0.2× 9 0.1× 51 769
Ruifeng Chen China 17 194 0.7× 12 0.1× 81 0.4× 50 0.3× 41 0.3× 35 927
Meiyun Liu China 16 360 1.4× 13 0.1× 71 0.4× 35 0.2× 29 0.2× 48 945
Chunmei Chen China 23 379 1.4× 67 0.3× 128 0.6× 69 0.4× 9 0.1× 120 1.6k

Countries citing papers authored by Shuke Nie

Since Specialization
Citations

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

Fields of papers citing papers by Shuke Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuke Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Shuke Nie. A scholar is included among the top collaborators of Shuke Nie 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 Shuke Nie. Shuke Nie 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.
Kim, Young Kwan, Han Jo Kim, Sang Won Seo, et al.. (2025). EBP1 potentiates amyloid β pathology by regulating γ-secretase. Nature Aging. 5(3). 486–503.
2.
Yuan, Xin, Shuke Nie, Danhao Xia, et al.. (2025). Propagation of pathologic α-synuclein from kidney to brain may contribute to Parkinson’s disease. Nature Neuroscience. 28(3). 577–588. 19 indexed citations breakdown →
3.
Zhou, Xiangyu, Shiqi Jin, Xiaohang Ren, et al.. (2025). A framework to assess the operational state of autonomous ships with multi-component degrading systems. Ocean Engineering. 327. 121000–121000. 1 indexed citations
4.
Xia, Danhao, Lanxia Meng, Jiehui Chen, et al.. (2024). Microglia Process α‐Synuclein Fibrils and Enhance their Pathogenicity in a TREM2‐Dependent Manner. Advanced Science. 12(7). e2413451–e2413451. 2 indexed citations
5.
Liu, Yan, et al.. (2024). A predictive model for social participation of middle-aged and older adult stroke survivors: the China Health and Retirement Longitudinal Study. Frontiers in Public Health. 11. 1271294–1271294. 2 indexed citations
6.
Zou, Li, Li Tang, Min Xiong, et al.. (2024). Bridging integrator 1 fragment accelerates tau aggregation and propagation by enhancing clathrin-mediated endocytosis in mice. PLoS Biology. 22(1). e3002470–e3002470. 5 indexed citations
7.
Yu, Ting, Shuke Nie, Lihong Bu, et al.. (2023). Cholestanol accelerates α-synuclein aggregation and spreading by activating asparagine endopeptidase. JCI Insight. 8(21). 5 indexed citations
8.
Ding, Linlin, et al.. (2022). Research on depression in Parkinson disease: A bibliometric and visual analysis of studies published during 2012–2021. Medicine. 101(31). e29931–e29931. 4 indexed citations
10.
Donde, Aneesh, Mingkuan Sun, Yun Ha Jeong, et al.. (2019). Upregulation of ATG7 attenuates motor neuron dysfunction associated with depletion of TARDBP/TDP-43. Autophagy. 16(4). 672–682. 31 indexed citations
11.
Meng, Lanxia, Mingyang He, Min Xiong, et al.. (2018). 2′,3′-Dideoxycytidine, a DNA Polymerase-β Inhibitor, Reverses Memory Deficits in a Mouse Model of Alzheimer’s Disease. Journal of Alzheimer s Disease. 67(2). 515–525. 8 indexed citations
12.
Nie, Shuke, Yang Tan, Zhentao Zhang, et al.. (2018). Bilateral Implantation of Shear Stress Modifier in ApoE Knockout Mouse Induces Cognitive Impairment and Tau Abnormalities. Frontiers in Aging Neuroscience. 10. 303–303. 5 indexed citations
13.
Hu, Dan, et al.. (2018). LRRK2 G2019S Mutation Inhibits Degradation of α-Synuclein in an In Vitro Model of Parkinson’s Disease. Current Medical Science. 38(6). 1012–1017. 15 indexed citations
14.
Chen, Guiqin, Shuke Nie, Chao Han, et al.. (2017). Antidyskinetic Effects of MEK Inhibitor Are Associated with Multiple Neurochemical Alterations in the Striatum of Hemiparkinsonian Rats. Frontiers in Neuroscience. 11. 112–112. 23 indexed citations
15.
Han, Chao, Shuke Nie, Guiqin Chen, et al.. (2016). Intrastriatal injection of ionomycin profoundly changes motor response to l -DOPA and its underlying molecular mechanisms. Neuroscience. 340. 23–33. 4 indexed citations
16.
Tan, Yang, Shuke Nie, Fang Liu, et al.. (2016). 7,8-Dihydroxyflavone Ameliorates Cognitive Impairment by Inhibiting Expression of Tau Pathology in ApoE-Knockout Mice. Frontiers in Aging Neuroscience. 8. 287–287. 16 indexed citations
17.
Gao, Hui, Peipei Yan, Shun Zhang, et al.. (2015). Chronic alpha-linolenic acid treatment alleviates age-associated neuropathology: Roles of PERK/eIF2α signaling pathway. Brain Behavior and Immunity. 57. 314–325. 28 indexed citations
18.
Gao, Hui, Jie Meng, Hui Xing, et al.. (2014). Association of heme oxygenase-1 with the risk of polycystic ovary syndrome in non-obese women. Human Reproduction. 29(5). 1058–1066. 10 indexed citations
19.
Tan, Li, Jie Zhang, Biao Xu, et al.. (2014). Using daily syndrome-specific absence data for early detection of school outbreaks: a pilot study in rural China. Public Health. 128(9). 792–798. 6 indexed citations
20.
Cheng, Jinquan, et al.. (2008). Insulin-like growth factor-1 receptor polymorphism and ischemic stroke: a case-control study in Chinese population. Acta Neurologica Scandinavica. 118(5). 333–338. 15 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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