Chuan Qu

539 total citations
30 papers, 380 citations indexed

About

Chuan Qu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Chuan Qu has authored 30 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 12 papers in Cardiology and Cardiovascular Medicine and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Chuan Qu's work include Pharmacological Receptor Mechanisms and Effects (9 papers), Receptor Mechanisms and Signaling (7 papers) and Cardiac electrophysiology and arrhythmias (5 papers). Chuan Qu is often cited by papers focused on Pharmacological Receptor Mechanisms and Effects (9 papers), Receptor Mechanisms and Signaling (7 papers) and Cardiac electrophysiology and arrhythmias (5 papers). Chuan Qu collaborates with scholars based in China and Japan. Chuan Qu's co-authors include Shaobo Shi, Tianxin Ye, Bo Yang, Jinjun Liang, Xin Liu, Cui Zhang, Yan Guo, Hongjie Yang, Weiguo Wan and Bo Yang and has published in prestigious journals such as Life Sciences, Psychopharmacology and American Journal of Physiology-Heart and Circulatory Physiology.

In The Last Decade

Chuan Qu

28 papers receiving 377 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chuan Qu China 14 212 128 47 34 29 30 380
Tianxin Ye China 12 172 0.8× 117 0.9× 35 0.7× 23 0.7× 11 0.4× 21 305
Larissa Pernomian Brazil 12 180 0.8× 127 1.0× 44 0.9× 9 0.3× 29 1.0× 24 438
Hanlai Zhang China 8 183 0.9× 68 0.5× 14 0.3× 17 0.5× 42 1.4× 10 398
Jinsheng Qi China 16 239 1.1× 77 0.6× 19 0.4× 12 0.4× 29 1.0× 33 525
Aurélia Vergeade United States 9 163 0.8× 73 0.6× 10 0.2× 21 0.6× 40 1.4× 12 379
Liwei Ren China 14 282 1.3× 196 1.5× 16 0.3× 44 1.3× 44 1.5× 30 574
Mengli Chen China 10 125 0.6× 57 0.4× 30 0.6× 8 0.2× 23 0.8× 20 300
Leilei Zhu China 10 116 0.5× 36 0.3× 32 0.7× 13 0.4× 102 3.5× 24 361
Christopher Morrell United States 7 121 0.6× 142 1.1× 10 0.2× 18 0.5× 36 1.2× 12 330
Qiong Lai China 12 232 1.1× 60 0.5× 11 0.2× 9 0.3× 56 1.9× 19 389

Countries citing papers authored by Chuan Qu

Since Specialization
Citations

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

Fields of papers citing papers by Chuan Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chuan Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Chuan Qu. A scholar is included among the top collaborators of Chuan Qu 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 Chuan Qu. Chuan Qu 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.
Chen, Zhilong, et al.. (2025). The combination of FLI, ITS, pFF, and citrate improves the developmental potential of gilt oocytes during in vitro maturation. Animal Reproduction Science. 279. 107945–107945.
2.
3.
Li, Zixuan, et al.. (2024). AMPA receptor inhibition alleviates inflammatory response and myocardial apoptosis after myocardial infarction by inhibiting TLR4/NF-κB signaling pathway. International Immunopharmacology. 133. 112080–112080. 2 indexed citations
4.
5.
Xu, Shengnan, Xueyu Han, Xiukun Wang, et al.. (2024). The role of oxidative stress in aortic dissection: a potential therapeutic target. Frontiers in Cardiovascular Medicine. 11. 1410477–1410477. 8 indexed citations
6.
Liu, Xin, et al.. (2023). Dapagliflozin ameliorates sepsis-induced heart injury by inhibiting cardiomyocyte apoptosis and electrical remodeling through the PI3K/Akt pathway. European Journal of Pharmacology. 955. 175930–175930. 24 indexed citations
7.
Liu, Yating, et al.. (2023). Dapagliflozin attenuates the vulnerability to atrial fibrillation in rats with lipopolysaccharide-induced myocardial injury. International Immunopharmacology. 125(Pt A). 111038–111038. 9 indexed citations
8.
9.
Chen, Xiaoli, Weiguo Wan, Qian Ran, et al.. (2022). Pinocembrin mediates antiarrhythmic effects in rats with isoproterenol-induced cardiac remodeling. European Journal of Pharmacology. 920. 174799–174799. 21 indexed citations
10.
Shi, Shaobo, Xin Liu, Tianxin Ye, et al.. (2021). Retrospective cohort study of new-onset atrial fibrillation in acute pulmonary embolism on prognosis. BMJ Open. 11(9). e047658–e047658. 9 indexed citations
11.
Wan, Weiguo, Tianxin Ye, Xiaoli Chen, et al.. (2021). Pinocembrin alleviates lipopolysaccharide-induced myocardial injury and cardiac dysfunction in rats by inhibiting p38/JNK MAPK pathway. Life Sciences. 277. 119418–119418. 28 indexed citations
12.
Wan, Weiguo, Yan Guo, Tianxin Ye, et al.. (2021). Pinocembrin ameliorates post-infarct heart failure through activation of Nrf2/HO-1 signaling pathway. Molecular Medicine. 27(1). 100–100. 41 indexed citations
13.
Zhang, Cui, Yan Guo, Xin Liu, et al.. (2020). Chronic stimulation of the sigma-1 receptor ameliorates ventricular ionic and structural remodeling in a rodent model of depression. Life Sciences. 257. 118047–118047. 13 indexed citations
14.
Guo, Yan, Cui Zhang, Xin Liu, et al.. (2020). Sigma-1 receptor ligands improves ventricular repolarization-related ion remodeling in rats with major depression disorder. Psychopharmacology. 238(2). 487–499. 7 indexed citations
15.
Qu, Chuan, et al.. (2020). MiR-128-3p inhibits vascular smooth muscle cell proliferation and migration by repressing FOXO4/MMP9 signaling pathway. Molecular Medicine. 26(1). 116–116. 17 indexed citations
16.
Zhang, Cui, Xin Liu, Tianxin Ye, et al.. (2020). Chronic sigma-1 receptor activation ameliorates ventricular remodeling and decreases susceptibility to ventricular arrhythmias after myocardial infarction in rats. European Journal of Pharmacology. 889. 173614–173614. 21 indexed citations
17.
Liu, Xin, Chuan Qu, Shaobo Shi, et al.. (2019). The Reversal Effect of Sigma-1 Receptor (S1R) Agonist, SA4503, on Atrial Fibrillation After Depression and Its Underlying Mechanism. Frontiers in Physiology. 10. 1346–1346. 16 indexed citations
18.
Yang, Hongjie, et al.. (2018). Usefulness of upright T wave in lead aVR for predicting short‐term prognosis of patients with ischemic stroke. Chronic Diseases and Translational Medicine. 4(3). 192–198. 4 indexed citations
19.
Liu, Xin, Shaobo Shi, Hongjie Yang, et al.. (2017). The activation of N-methyl-d-aspartate receptors downregulates transient outward potassium and L-type calcium currents in rat models of depression. American Journal of Physiology-Cell Physiology. 313(2). C187–C196. 11 indexed citations
20.
Liang, Jinjun, Shaobo Shi, Fang Wang, et al.. (2015). Effect and mechanism of fluoxetine on electrophysiology in vivo in a rat model of postmyocardial infarction depression. Drug Design Development and Therapy. 9. 763–763. 17 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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