Jinyu Chi

576 total citations
26 papers, 487 citations indexed

About

Jinyu Chi is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Jinyu Chi has authored 26 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Epidemiology and 5 papers in Cell Biology. Recurrent topics in Jinyu Chi's work include Pregnancy-related medical research (4 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Inflammasome and immune disorders (4 papers). Jinyu Chi is often cited by papers focused on Pregnancy-related medical research (4 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Inflammasome and immune disorders (4 papers). Jinyu Chi collaborates with scholars based in China. Jinyu Chi's co-authors include Xinhua Yin, Yu Fu, Wenxiu Liu, Meng Zhao, Yue Liu, Xiaohui Zhang, Xiaohui Zhang, Xin Zhang, Yejing Zhu and Zhiyu Shi and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Life Sciences and Biochimie.

In The Last Decade

Jinyu Chi

26 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinyu Chi China 14 257 113 92 69 64 26 487
Ryoko Shinohata Japan 13 171 0.7× 119 1.1× 81 0.9× 91 1.3× 49 0.8× 28 546
Xiangquan Kong China 15 179 0.7× 119 1.1× 114 1.2× 92 1.3× 56 0.9× 36 546
Masoud Pezeshkian Iran 11 183 0.7× 143 1.3× 162 1.8× 47 0.7× 91 1.4× 25 498
Yi‐yuan Li China 10 275 1.1× 91 0.8× 63 0.7× 176 2.6× 61 1.0× 17 597
Bowen Li China 14 226 0.9× 80 0.7× 64 0.7× 64 0.9× 67 1.0× 46 556
Zhongming Zhang China 12 206 0.8× 58 0.5× 58 0.6× 41 0.6× 91 1.4× 20 375
Rasha H. Mohamed Egypt 14 93 0.4× 90 0.8× 67 0.7× 43 0.6× 67 1.0× 24 476

Countries citing papers authored by Jinyu Chi

Since Specialization
Citations

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

Fields of papers citing papers by Jinyu Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinyu Chi

This figure shows the co-authorship network connecting the top 25 collaborators of Jinyu Chi. A scholar is included among the top collaborators of Jinyu Chi 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 Jinyu Chi. Jinyu Chi 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.
Liu, Wenxiu, Meng Zhao, Xin Zhang, et al.. (2023). Alcohol Intake Provoked Cardiomyocyte Apoptosis Via Activating Calcium-Sensing Receptor and Increasing Endoplasmic Reticulum Stress and Cytosolic [Ca2+]i. Cell Biochemistry and Biophysics. 81(4). 707–716. 8 indexed citations
2.
Chi, Jinyu, Wanlin Li, Yang Xu, et al.. (2023). PDZK1 improves ventricular remodeling in hypertensive rats by regulating the stability of the Mas receptor. Amino Acids. 55(11). 1573–1585. 1 indexed citations
3.
Zhu, Yejing, et al.. (2023). High-dose remifentanil exacerbates myocardial ischemia-reperfusion injury through activation of calcium-sensing receptor-mediated pyroptosis. International Journal of Medical Sciences. 20(12). 1570–1583. 7 indexed citations
4.
Wang, Ying, Xin Zhang, Wen-Jia Chen, et al.. (2020). Cortistatin ameliorates Ang II-induced proliferation of vascular smooth muscle cells by inhibiting autophagy through SSTR3 and SSTR5. Life Sciences. 253. 117726–117726. 8 indexed citations
5.
Gao, Lei, Yue Liu, Ying Wang, et al.. (2019). H2 relaxin ameliorates angiotensin II-induced endothelial dysfunction through inhibition of excessive mitochondrial fission. Biochemical and Biophysical Research Communications. 512(4). 799–805. 6 indexed citations
6.
Zhao, Meng, Wenxiu Liu, Xin Zhang, et al.. (2019). Calcium-Sensing Receptor on Neutrophil Promotes Myocardial Apoptosis and Fibrosis After Acute Myocardial Infarction via NLRP3 Inflammasome Activation. Canadian Journal of Cardiology. 36(6). 893–905. 38 indexed citations
7.
8.
Chi, Jinyu, Xiaoyu Zhao, Yuting Liang, et al.. (2018). Nox4-dependent ROS production is involved in CVB3-induced myocardial apoptosis. Biochemical and Biophysical Research Communications. 503(3). 1641–1644. 20 indexed citations
9.
Chi, Jinyu, Lei Wang, Yu Fu, et al.. (2018). Cyclosporin A induces autophagy in cardiac fibroblasts through the NRP-2/WDFY-1 axis. Biochimie. 148. 55–62. 13 indexed citations
10.
Chi, Jinyu, Lei Wang, Xiaohui Zhang, et al.. (2018). Activation of calcium-sensing receptor-mediated autophagy in angiotensinII-induced cardiac fibrosis in vitro. Biochemical and Biophysical Research Communications. 497(2). 571–576. 14 indexed citations
11.
Zhang, Xin, Xiaohui Zhang, Wenxiu Liu, et al.. (2017). Role of the calcium sensing receptor in cardiomyocyte apoptosis via mitochondrial dynamics in compensatory hypertrophied myocardium of spontaneously hypertensive rat. Biochemical and Biophysical Research Communications. 487(3). 728–733. 14 indexed citations
12.
Zhang, Xiaohui, Liya Pan, Yu Fu, et al.. (2017). H3 Relaxin Protects Against Myocardial Injury in Experimental Diabetic Cardiomyopathy by Inhibiting Myocardial Apoptosis, Fibrosis and Inflammation. Cellular Physiology and Biochemistry. 43(4). 1311–1324. 45 indexed citations
13.
Chi, Jinyu, et al.. (2015). MicroRNA-377 Mediates Cardiomyocyte Apoptosis Induced by Cyclosporin A. Canadian Journal of Cardiology. 32(10). 1249–1259. 20 indexed citations
14.
Liu, Wenxiu, Xin Zhang, Meng Zhao, et al.. (2015). Activation in M1 but not M2 Macrophages Contributes to Cardiac Remodeling after Myocardial Infarction in Rats: a Critical Role of the Calcium Sensing Receptor/NRLP3 Inflammasome. Cellular Physiology and Biochemistry. 35(6). 2483–2500. 83 indexed citations
15.
Fu, Yu, Yue Liu, Hui Li, et al.. (2015). Tissue factor pathway inhibitor gene transfer prevents vascular smooth muscle cell proliferation by interfering with the MCP-3/CCR2 pathway. Laboratory Investigation. 95(11). 1246–1257. 14 indexed citations
16.
Zhang, Xiaohui, Xiao Ma, Meng Zhao, et al.. (2014). H2 and H3 relaxin inhibit high glucose-induced apoptosis in neonatal rat ventricular myocytes. Biochimie. 108. 59–67. 25 indexed citations
18.
Chi, Jinyu, Yejing Zhu, Yu Fu, et al.. (2012). Cyclosporin A induces apoptosis in H9c2 cardiomyoblast cells through calcium-sensing receptor-mediated activation of the ERK MAPK and p38 MAPK pathways. Molecular and Cellular Biochemistry. 367(1-2). 227–236. 37 indexed citations
19.
Zhu, Yejing, Jinyu Chi, Yue Liu, et al.. (2012). Knockdown of dishevelled-1 attenuates cyclosporine A-induced apoptosis in H9c2 cardiomyoblast cells. Molecular and Cellular Biochemistry. 374(1-2). 113–123. 13 indexed citations
20.
Zhao, Yanru, Yuquan Zhang, Jinyu Chi, et al.. (2011). Involvement of the calcium-sensing receptor in cyclosporin A-induced cardiomyocyte apoptosis in rats.. PubMed. 66(12). 968–74. 9 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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