Chuanxi Tang

646 total citations
33 papers, 466 citations indexed

About

Chuanxi Tang is a scholar working on Neurology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Chuanxi Tang has authored 33 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Neurology, 12 papers in Cellular and Molecular Neuroscience and 9 papers in Molecular Biology. Recurrent topics in Chuanxi Tang's work include Parkinson's Disease Mechanisms and Treatments (12 papers), Nerve injury and regeneration (9 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). Chuanxi Tang is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (12 papers), Nerve injury and regeneration (9 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). Chuanxi Tang collaborates with scholars based in China, United States and Nigeria. Chuanxi Tang's co-authors include Dianshuai Gao, Ye Xiong, Yue Gao, Wei Wang, Jie Xiang, Being‐Sun Wung, Dan Jin, D.L. Wang, Feng Li and Mengting Liu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Chuanxi Tang

30 papers receiving 459 citations

Peers

Chuanxi Tang

CMN

NEURO

PHYSI

Toniella Giallongo Italy

Nadiya Byts Finland

Wanchen Dou China

Alice Braga United Kingdom

Emanuela Paldino Italy

María José Pérez-Álvarez Spain

Lourdes Hontecillas‐Prieto Spain

Kelly A. Chamberlain United States

Goang‐Won Cho South Korea

Tae‐Ryong Riew South Korea

Toniella Giallongo Italy

Chuanxi Tang

155 ×0.8

92 ×1.1

CMN

58 ×0.7

67 ×1.0

NEURO

35 ×0.5

PHYSI

Citations per year, relative to Chuanxi Tang Chuanxi Tang (= 1×) peers Toniella Giallongo

Countries citing papers authored by Chuanxi Tang

Since Specialization

Citations

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

Fields of papers citing papers by Chuanxi Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chuanxi Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Chuanxi Tang. A scholar is included among the top collaborators of Chuanxi Tang 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 Chuanxi Tang. Chuanxi Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Liu, Yehao, Rui Chen, Jianbo Diao, et al.. (2025). Enhanced Microglial Engulfment of Dopaminergic Synapses Induces Parkinson's Disease‐Related Executive Dysfunction in an Acute LPC Infusion Targeting the mPFC. Aging Cell. 24(5). e70003–e70003. 1 indexed citations

Su, Mingyu, Yurong Guo, Yuxiang Qiu, et al.. (2025). Lysophosphatidylcholine promoting α-Synuclein aggregation in Parkinson’s disease: disrupting GCase glycosylation and lysosomal α-Synuclein degradation. npj Parkinson s Disease. 11(1). 47–47. 4 indexed citations

Chen, Jing, Wei Xu, Lin Shao, et al.. (2025). GDNF attenuates a-synuclein aggregation-induced damage to VTA-NAc dopaminergic transmission and alleviates depression-like behaviors in mice. Scientific Reports. 15(1). 30804–30804.

Geng, Zhi, et al.. (2024). High expression of COPZ2 is associated with poor prognosis and cancer progression in glioma. Frontiers in Molecular Neuroscience. 17. 1438135–1438135.

Wu, Jiao, et al.. (2023). Amphiregulin blockade decreases the levodopa‐induced dyskinesia in a 6‐hydroxydopamine Parkinson's disease mouse model. CNS Neuroscience & Therapeutics. 29(10). 2925–2939. 3 indexed citations

Tang, Chuanxi, et al.. (2023). Dopamine in the prefrontal cortex plays multiple roles in the executive function of patients with Parkinson’s disease. Neural Regeneration Research. 19(8). 1759–1767. 12 indexed citations

Tang, Chuanxi, et al.. (2023). Distinct serum GDNF coupling with brain structural and functional changes underlies cognitive status in Parkinson's disease. CNS Neuroscience & Therapeutics. 30(3). e14461–e14461. 10 indexed citations

Tang, Chuanxi, et al.. (2023). Treadmill Exercise Alleviates Cognition Disorder by Activating the FNDC5: Dual Role of Integrin αV/β5 in Parkinson’s Disease. International Journal of Molecular Sciences. 24(9). 7830–7830. 13 indexed citations

Zhang, Na, Chuanxi Tang, Qiong Ma, et al.. (2021). Comprehensive serum metabolic and proteomic characterization on cognitive dysfunction in Parkinson’s disease. Annals of Translational Medicine. 9(7). 559–559. 12 indexed citations

10.

Hou, Shaoping, et al.. (2021). Deciphering Spinal Endogenous Dopaminergic Mechanisms That Modulate Micturition Reflexes in Rats with Spinal Cord Injury. eNeuro. 8(4). ENEURO.0157–21.2021. 4 indexed citations

11.

Cheng, Bo, et al.. (2021). Susceptibility of cytoskeletal-associated proteins for tumor progression. Cellular and Molecular Life Sciences. 79(1). 13–13. 5 indexed citations

12.

Liu, Xinfeng, Chuanxi Tang, Lin Zhang, et al.. (2020). Down-Regulated CUEDC2 Increases GDNF Expression by Stabilizing CREB Through Reducing Its Ubiquitination in Glioma. Neurochemical Research. 45(12). 2915–2925. 9 indexed citations

13.

Ma, Chengcheng, Fangfang Chen, Xiaoyu Zhou, et al.. (2020). Possible role of glial cell line-derived neurotrophic factor for predicting cognitive impairment in Parkinson’s disease: a case-control study. Neural Regeneration Research. 16(5). 885–885. 13 indexed citations

14.

Tang, Chuanxi, Lan Luan, Lin Zhang, et al.. (2019). Golgin-160 and GMAP210 play an important role in U251 cells migration and invasion initiated by GDNF. PLoS ONE. 14(1). e0211501–e0211501. 10 indexed citations

15.

Tang, Chuanxi, et al.. (2018). High Concentration of Glial Cell Line-Derived Neurotrophic Factor Protects Primary Astrocytes from Apoptosis. Developmental Neuroscience. 40(2). 134–144. 13 indexed citations

16.

Li, Feng, Chuanxi Tang, Dan Jin, et al.. (2017). CUEDC2 suppresses glioma tumorigenicity by inhibiting the activation of STAT3 and NF-κB signaling pathway. International Journal of Oncology. 51(1). 115–127. 13 indexed citations

17.

Xiong, Ye, et al.. (2017). Distinct Features of Doublecortin as a Marker of Neuronal Migration and Its Implications in Cancer Cell Mobility. Frontiers in Molecular Neuroscience. 10. 199–199. 97 indexed citations

18.

Li, Chang, Chuanxi Tang, & Gu He. (2016). Tristetraprolin: a novel mediator of the anticancer properties of resveratrol. Genetics and Molecular Research. 15(2). 10 indexed citations

19.

Wang, Ting, et al.. (2016). Inverse Expression Levels of EphrinA3 and EphrinA5 Contribute to Dopaminergic Differentiation of Human SH-SY5Y Cells. Journal of Molecular Neuroscience. 59(4). 483–492. 16 indexed citations

20.

Wang, D.L., et al.. (1993). Cyclical Strain Increases Endothelin-1 Secretion and Gene Expression in Human Endothelial Cells. Biochemical and Biophysical Research Communications. 195(2). 1050–1056. 48 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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