Shu Yan Yu

2.0k total citations
40 papers, 1.5k citations indexed

About

Shu Yan Yu is a scholar working on Biological Psychiatry, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Shu Yan Yu has authored 40 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biological Psychiatry, 17 papers in Neurology and 15 papers in Cellular and Molecular Neuroscience. Recurrent topics in Shu Yan Yu's work include Tryptophan and brain disorders (17 papers), Neuroinflammation and Neurodegeneration Mechanisms (16 papers) and Stress Responses and Cortisol (15 papers). Shu Yan Yu is often cited by papers focused on Tryptophan and brain disorders (17 papers), Neuroinflammation and Neurodegeneration Mechanisms (16 papers) and Stress Responses and Cortisol (15 papers). Shu Yan Yu collaborates with scholars based in China, Canada and United States. Shu Yan Yu's co-authors include Cuiqin Fan, Qiqi Song, Tian Lan, Wenjing Wang, Peng Wang, Ye Li, Ye Li, Mu Yang, Liyan Wang and Minghua Zhang and has published in prestigious journals such as Journal of Clinical Investigation, Neuroscience and Journal of Neurochemistry.

In The Last Decade

Shu Yan Yu

37 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shu Yan Yu China 24 572 548 356 343 311 40 1.5k
Cuiqin Fan China 17 423 0.7× 386 0.7× 248 0.7× 124 0.4× 208 0.7× 23 960
Esther Parada Spain 21 251 0.4× 791 1.4× 118 0.3× 244 0.7× 475 1.5× 26 1.6k
Ana M. Espinosa‐Oliva Spain 19 316 0.6× 508 0.9× 236 0.7× 273 0.8× 683 2.2× 36 1.7k
Majid Motaghinejad Iran 24 236 0.4× 354 0.6× 103 0.3× 361 1.1× 329 1.1× 59 1.3k
Shui‐bing Liu China 27 149 0.3× 714 1.3× 212 0.6× 473 1.4× 335 1.1× 72 2.0k
Zhen‐Zhen Wang China 29 402 0.7× 980 1.8× 241 0.7× 361 1.1× 419 1.3× 80 2.3k
Wengao Jiang China 12 164 0.3× 188 0.3× 148 0.4× 248 0.7× 131 0.4× 26 831
Bo Jiang China 26 589 1.0× 649 1.2× 440 1.2× 487 1.4× 239 0.8× 73 1.8k
Jue He China 27 416 0.7× 449 0.8× 259 0.7× 733 2.1× 414 1.3× 59 1.9k

Countries citing papers authored by Shu Yan Yu

Since Specialization
Citations

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

Fields of papers citing papers by Shu Yan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shu Yan Yu. 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 Shu Yan Yu. The network helps show where Shu Yan Yu may publish in the future.

Co-authorship network of co-authors of Shu Yan Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Shu Yan Yu. A scholar is included among the top collaborators of Shu Yan Yu 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 Shu Yan Yu. Shu Yan Yu 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.
Li, Ye, et al.. (2025). Stress induces behavioral disorders by promoting microglial phagocytosis via decreasing neuronal Dkk3. Molecular Psychiatry. 30(12). 5731–5748.
2.
Yu, Shu Yan, et al.. (2025). Harmonizing AI: A GAN–Transformer fusion for expressive multimodal music synthesis in IoT systems. Alexandria Engineering Journal. 131. 368–382.
3.
Gan, Yan, Kaiqi Zhang, Yizheng Wu, et al.. (2025). MicroRNA‐204‐5p Deficiency within the vmPFC Region Contributes to Neuroinflammation and Behavioral Disorders via the JAK2/STAT3 Signaling Pathway in Rats. Advanced Science. 12(10). e2403080–e2403080. 3 indexed citations
4.
Chen, Xi, Ye Li, Tian Lan, et al.. (2025). p53 promote oxidative stress, neuroinflammation and behavioral disorders via DDIT4-NF-κB signaling pathway. Redox Biology. 86. 103836–103836. 1 indexed citations
5.
6.
Ji, Shang‐Rong, Fei Ding, Xiaosong Gu, et al.. (2024). Salidroside exerts neuroprotective effects on retrograde neuronal death following neonatal axotomy via activation of PI3K/Akt pathway and deactivation of p38 MAPK pathway. Toxicology and Applied Pharmacology. 494. 117178–117178.
7.
Wang, Zhuoran, Qiang Li, Brad J. Kolls, et al.. (2023). Sustained overexpression of spliced X-box-binding protein-1 in neurons leads to spontaneous seizures and sudden death in mice. Communications Biology. 6(1). 252–252. 7 indexed citations
8.
Wang, Changmin, Ye Li, Guiyu Liu, et al.. (2022). Hippocampal microRNA-26a-3p deficit contributes to neuroinflammation and behavioral disorders via p38 MAPK signaling pathway in rats. Journal of Neuroinflammation. 19(1). 283–283. 16 indexed citations
9.
Shen, Yuntian, Ran Li, Shu Yan Yu, et al.. (2021). Activation of the ATF6 (Activating Transcription Factor 6) Signaling Pathway in Neurons Improves Outcome After Cardiac Arrest in Mice. Journal of the American Heart Association. 10(12). e020216–e020216. 27 indexed citations
10.
Lan, Tian, Ye Li, Cuiqin Fan, et al.. (2021). MicroRNA-204-5p reduction in rat hippocampus contributes to stress-induced pathology via targeting RGS12 signaling pathway. Journal of Neuroinflammation. 18(1). 243–243. 28 indexed citations
11.
Fan, Cuiqin, Ye Li, Tian Lan, et al.. (2021). Prophylactic treatment of curcumin in a rat model of depression by attenuating hippocampal synaptic loss. Food & Function. 12(22). 11202–11213. 23 indexed citations
12.
Fan, Cuiqin, et al.. (2021). Microglia secrete miR-146a-5p-containing exosomes to regulate neurogenesis in depression. Molecular Therapy. 30(3). 1300–1314. 156 indexed citations
13.
Wang, Peng, Liyan Wang, Ye Li, et al.. (2019). Interleukin-6: Its role and mechanisms in rescuing depression-like behaviors in rat models of depression. Brain Behavior and Immunity. 82. 106–121. 28 indexed citations
14.
Song, Qiqi, Cuiqin Fan, Peng Wang, et al.. (2018). Hippocampal CA1 βCaMKII mediates neuroinflammatory responses via COX-2/PGE2 signaling pathways in depression. Journal of Neuroinflammation. 15(1). 338–338. 101 indexed citations
15.
16.
Zhang, Lin, et al.. (2014). Effects of curcumin on chronic, unpredictable, mild, stress-induced depressive-like behaviour and structural plasticity in the lateral amygdala of rats. The International Journal of Neuropsychopharmacology. 17(5). 793–806. 98 indexed citations
17.
Yu, Shu Yan, et al.. (2013). Curcumin ameliorates ethanol-induced memory deficits and enhanced brain nitric oxide synthase activity in mice. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 44. 210–216. 29 indexed citations
18.
Zhang, Lin, et al.. (2012). NMDA GluN2B receptors involved in the antidepressant effects of curcumin in the forced swim test. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 40. 12–17. 37 indexed citations
19.
Zhang, Lin, et al.. (2012). Curcumin produces antidepressant effects via activating MAPK/ERK-dependent brain-derived neurotrophic factor expression in the amygdala of mice. Behavioural Brain Research. 235(1). 67–72. 77 indexed citations
20.
Yu, Shu Yan, Dong Wu, & Ren‐Zhi Zhan. (2010). GluN2B subunits of the NMDA receptor contribute to the AMPA receptor internalization during long-term depression in the lateral amygdala of juvenile rats. Neuroscience. 171(4). 1102–1108. 19 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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