Yingcong Yu

892 total citations
22 papers, 644 citations indexed

About

Yingcong Yu is a scholar working on Cellular and Molecular Neuroscience, Physiology and Molecular Biology. According to data from OpenAlex, Yingcong Yu has authored 22 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 6 papers in Physiology and 5 papers in Molecular Biology. Recurrent topics in Yingcong Yu's work include Neuroscience and Neuropharmacology Research (5 papers), Nerve injury and regeneration (4 papers) and Tryptophan and brain disorders (4 papers). Yingcong Yu is often cited by papers focused on Neuroscience and Neuropharmacology Research (5 papers), Nerve injury and regeneration (4 papers) and Tryptophan and brain disorders (4 papers). Yingcong Yu collaborates with scholars based in China and United States. Yingcong Yu's co-authors include Ying Xu, Jianchun Pan, James M. O’Donnell, Jian Kang, Ning Kang, Fan Wu, Meixi Zhang, Ling Chen, Shujie Chen and Jianmin Si and has published in prestigious journals such as Neuroscience, Neuropharmacology and Oncotarget.

In The Last Decade

Yingcong Yu

21 papers receiving 632 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingcong Yu China 13 190 181 140 128 109 22 644
Nejat Gacar Türkiye 13 160 0.8× 272 1.5× 198 1.4× 104 0.8× 82 0.8× 37 776
Michelle Lima Garcez Brazil 16 237 1.2× 319 1.8× 132 0.9× 173 1.4× 184 1.7× 34 745
Kyonghwan Choe Netherlands 14 475 2.5× 288 1.6× 84 0.6× 167 1.3× 207 1.9× 34 983
Shingo Nakajima Japan 17 314 1.7× 263 1.5× 132 0.9× 144 1.1× 77 0.7× 38 1.1k
Toshihiko Hanawa Japan 22 318 1.7× 168 0.9× 71 0.5× 116 0.9× 100 0.9× 133 1.5k
Raghunath Singh India 17 206 1.1× 154 0.9× 81 0.6× 150 1.2× 54 0.5× 36 692
Philip A. Barish United States 8 138 0.7× 148 0.8× 159 1.1× 158 1.2× 76 0.7× 8 619
Hossein Amini‐Khoei Iran 19 327 1.7× 101 0.6× 109 0.8× 233 1.8× 140 1.3× 57 962
Mudan Cai South Korea 17 269 1.4× 194 1.1× 155 1.1× 56 0.4× 140 1.3× 34 853
Debapriya Garabadu India 19 314 1.7× 207 1.1× 164 1.2× 124 1.0× 118 1.1× 69 1.1k

Countries citing papers authored by Yingcong Yu

Since Specialization
Citations

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

Fields of papers citing papers by Yingcong Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingcong Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Yingcong Yu. A scholar is included among the top collaborators of Yingcong 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 Yingcong Yu. Yingcong 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.
2.
Wang, Yajing, Xinjun Yang, Ziwei Ding, et al.. (2025). NMN reverses D-galactose-induced neurodegeneration and enhances the intestinal barrier of mice by activating the Sirt1 pathway. Frontiers in Pharmacology. 16. 1545585–1545585. 4 indexed citations
3.
Wang, Yajing, et al.. (2025). Advances in the Study for Modulators of Transient Receptor Potential Vanilloid (TRPV) Channel Family. Current Topics in Medicinal Chemistry. 25(12). 1403–1450. 3 indexed citations
4.
He, Jiamin, Tongyao Hou, Qiwen Wang, et al.. (2024). L‐arginine metabolism ameliorates age‐related cognitive impairment by Amuc_1100‐mediated gut homeostasis maintaining. Aging Cell. 23(4). e14081–e14081. 17 indexed citations
5.
Huang, Yi, Zheng Liang, Xiaoge Geng, et al.. (2023). Comprehensive analysis of circular RNA-associated competing endogenous RNA networks and immune infiltration in gastric cancer. Transplant Immunology. 77. 101793–101793. 1 indexed citations
6.
Yu, Yingcong, et al.. (2023). Design and synthesis of novel PDE4 inhibitors as potential candidates for antidepressant agents. Journal of Chemical Research. 47(5). 1 indexed citations
7.
Yu, Yingcong, Jinhui Wang, & Xianfeng Huang. (2021). The anti-depressant effects of a novel PDE4 inhibitor derived from resveratrol. Pharmaceutical Biology. 59(1). 416–421. 9 indexed citations
8.
Li, Jianxin, Gaowen Li, Xiaojuan Chen, et al.. (2020). Sub-Acute Treatment of Curcumin Derivative J147 Ameliorates Depression-Like Behavior Through 5-HT1A-Mediated cAMP Signaling. Frontiers in Neuroscience. 14. 701–701. 22 indexed citations
9.
Yu, Yingcong, Jing Li, Meixi Zhang, et al.. (2019). Resveratrol Improves Brain-Gut Axis by Regulation of 5-HT-Dependent Signaling in the Rat Model of Irritable Bowel Syndrome. Frontiers in Cellular Neuroscience. 13. 30–30. 64 indexed citations
10.
Wang, Ying, et al.. (2018). IL-17 gene rs3748067 C>T polymorphism and gastric cancer risk: A meta-analysis. Open Life Sciences. 13(1). 71–76. 1 indexed citations
11.
Xu, Ying, Jianbo Zhang, Yingcong Yu, et al.. (2018). Antidepressant-like effects of a novel curcumin derivative J147: Involvement of 5-HT1A receptor. Neuropharmacology. 135. 506–513. 40 indexed citations
12.
Wang, Weijie, Yingcong Yu, Jing Li, et al.. (2017). The analgesic effect of trans-resveratrol is regulated by calcium channels in the hippocampus of mice. Metabolic Brain Disease. 32(4). 1311–1321. 7 indexed citations
13.
Zhang, Yi, et al.. (2017). Role of brain-derived neurotrophic factor in the molecular neurobiology of major depressive disorder.. PubMed. 4(1). 20–30. 3 indexed citations
14.
Xu, Ying, Chong Zhang, Xiaoxiao Xu, et al.. (2016). Piperine potentiates the effects of trans-resveratrol on stress-induced depressive-like behavior: involvement of monoaminergic system and cAMP-dependent pathway. Metabolic Brain Disease. 31(4). 837–848. 23 indexed citations
15.
Pang, Cong, Fan Wu, Li Wang, et al.. (2015). The effect of trans-resveratrol on post-stroke depression via regulation of hypothalamus–pituitary–adrenal axis. Neuropharmacology. 97. 447–456. 63 indexed citations
16.
Yu, Yingcong, Jianxin Li, Xuefeng Yu, et al.. (2014). The effect of curcumin on the brain-gut axis in rat model of irritable bowel syndrome: involvement of 5-HT-dependent signaling. Metabolic Brain Disease. 30(1). 47–55. 59 indexed citations
17.
Kang, Ning, Hong Peng, Yingcong Yu, et al.. (2013). Astrocytes release d-serine by a large vesicle. Neuroscience. 240. 243–257. 44 indexed citations
18.
Yu, Yingcong, Rui Wang, Xia Du, et al.. (2012). Antidepressant-like effect of trans-resveratrol in chronic stress model: Behavioral and neurochemical evidences. Journal of Psychiatric Research. 47(3). 315–322. 92 indexed citations
19.
Kang, Jian, Ning Kang, Yingcong Yu, et al.. (2010). Sulforhodamine 101 induces long-term potentiation of intrinsic excitability and synaptic efficacy in hippocampal CA1 pyramidal neurons. Neuroscience. 169(4). 1601–1609. 40 indexed citations
20.
Chen, Shujie, et al.. (2006). A probiotic treatment containing Lactobacillus, Bifidobacterium and Enterococcus improves IBS symptoms in an open label trial. Journal of Zhejiang University SCIENCE B. 7(12). 987–991. 44 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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