Yuxiang Dai

2.0k total citations
113 papers, 1.2k citations indexed

About

Yuxiang Dai is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Yuxiang Dai has authored 113 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Cardiology and Cardiovascular Medicine, 34 papers in Surgery and 27 papers in Molecular Biology. Recurrent topics in Yuxiang Dai's work include Coronary Interventions and Diagnostics (22 papers), Acute Myocardial Infarction Research (17 papers) and Cardiac Imaging and Diagnostics (15 papers). Yuxiang Dai is often cited by papers focused on Coronary Interventions and Diagnostics (22 papers), Acute Myocardial Infarction Research (17 papers) and Cardiac Imaging and Diagnostics (15 papers). Yuxiang Dai collaborates with scholars based in China, United States and Japan. Yuxiang Dai's co-authors include Junbo Ge, Junbo Ge, Shufu Chang, Zheyong Huang, Hongbo Yang, Shalaimaiti Shali, Daoyuan Ren, Chenguang Li, Juying Qian and Weibang Liang and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and PLoS ONE.

In The Last Decade

Yuxiang Dai

103 papers receiving 1.2k citations

Peers

Yuxiang Dai
Jun Huang China
John Y. Chiang Taiwan
Haiqing Li China
Ben He China
Yao Lu China
Firdos Ahmad United Arab Emirates
Shirong Zheng United States
Emily J. Tsai United States
Jun Huang China
Yuxiang Dai
Citations per year, relative to Yuxiang Dai Yuxiang Dai (= 1×) peers Jun Huang

Countries citing papers authored by Yuxiang Dai

Since Specialization
Citations

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

Fields of papers citing papers by Yuxiang Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuxiang Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Yuxiang Dai. A scholar is included among the top collaborators of Yuxiang Dai 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 Yuxiang Dai. Yuxiang Dai 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.
Xia, Mingfeng, Yuxiang Dai, Qingxia Huang, et al.. (2025). Cross-ancestry analyses of Chinese and European populations reveal insights into the genetic architecture and disease implication of metabolites. Cell Genomics. 5(4). 100810–100810. 2 indexed citations
2.
Yin, Chao, Kai Jin, Chiu‐Ching Huang, et al.. (2025). Low-density lipoprotein receptor-related protein 6 ameliorates cardiac hypertrophy by regulating CTSD/HSP90α signaling during pressure overload. Acta Pharmacologica Sinica. 46(3). 606–617. 2 indexed citations
3.
Zhang, Yang, Zhi Zuo, Zhenzhong Zhang, et al.. (2024). Salvianolate injection ameliorates cardiomyopathy by regulating autophagic flux through miR-30a/becn1 axis in zebrafish. Chinese Medical Journal. 138(20). 2604–2614. 3 indexed citations
4.
Mei, Zhendong, Lili Xu, Qingxia Huang, et al.. (2024). Metabonomic Biomarkers of Plaque Burden and Instability in Patients With Coronary Atherosclerotic Disease After Moderate Lipid‐Lowering Therapy. Journal of the American Heart Association. 13(24). e036906–e036906. 4 indexed citations
5.
Jin, Xuejuan, Jian Wu, Jingyi Lin, et al.. (2024). Cardiac secreted HSP90α exacerbates pressure overload myocardial hypertrophy and heart failure. Redox Biology. 79. 103466–103466. 4 indexed citations
6.
Shali, Shalaimaiti, et al.. (2024). CRISPR/Cas9 Mediated Deletion of the Uox Gene Generates a Mouse Model of Hyperuricemia with Multiple Complications. Journal of Cardiovascular Translational Research. 17(6). 1455–1465. 1 indexed citations
7.
Li, Xiao-Bin, Lin Xu, Xiaohong Mu, et al.. (2024). A high-quality dataset featuring classified and annotated cervical spine X-ray atlas. Scientific Data. 11(1). 625–625. 4 indexed citations
8.
Dai, Yuxiang, Chengyan Wang, & He Wang. (2023). Deep compressed sensing MRI via a gradient‐enhanced fusion model. Medical Physics. 50(3). 1390–1405. 3 indexed citations
9.
Dai, Yuxiang & Junbo Ge. (2023). Artificial intelligence in medical practice: current status and future perspectives. 8(1). 1–3. 5 indexed citations
10.
Dai, Yuxiang, et al.. (2023). Recent advances in the gut microbiome and microbial metabolites alterations of coronary artery disease. Science Bulletin. 68(6). 549–552. 7 indexed citations
11.
Wang, Jing, et al.. (2021). Microvascular decompression for hemifacial spasm involving the vertebral artery. Acta Neurochirurgica. 164(3). 827–832. 4 indexed citations
12.
Wu, Runda, Wei Gao, Ya Su, et al.. (2021). Plasma Heat Shock Protein 70 Is Associated With the Onset of Acute Myocardial Infarction and Total Occlusion in Target Vessels. Frontiers in Cardiovascular Medicine. 8. 688702–688702. 6 indexed citations
13.
Yang, Hongbo, Yanan Song, Jing Chen, et al.. (2020). <p>Platelet Membrane-Coated Nanoparticles Target Sclerotic Aortic Valves in ApoE<sup>−/−</sup> Mice by Multiple Binding Mechanisms Under Pathological Shear Stress</p>. International Journal of Nanomedicine. Volume 15. 901–912. 20 indexed citations
14.
Ni, Hongbin, et al.. (2020). Intracranial solitary fibrous tumor mimicking meningioma. Medicine. 99(50). e23504–e23504. 6 indexed citations
15.
Dai, Yuxiang, Shufu Chang, Shen Wang, et al.. (2020). The preservation effect of coronary collateral circulation on left ventricular function in chronic total occlusion and its association with the expression of vascular endothelial growth factor A. Advances in Clinical and Experimental Medicine. 29(4). 493–497. 8 indexed citations
16.
Qu, Yanan, Jie Yang, Chenguang Li, et al.. (2019). Gender-Related Differences in Clinical Characteristics and Outcomes of Premature Coronary Artery Disease: Insight from the FOCUS Registry. Journal of Interventional Cardiology. 2019. 1–8. 5 indexed citations
17.
Qu, Yanan, Jie Yang, Feng Zhang, et al.. (2019). Relationship between body mass index and outcomes of coronary artery disease in Asian population: Insight from the FOCUS registry. International Journal of Cardiology. 300. 262–267. 12 indexed citations
18.
Xu, Yifan, Tianyu Lu, Wu Xu, et al.. (2018). Effects of miR-99a on the migration and proliferation of glioma cells. Revista română de medicină de laborator. 26(2). 145–152. 1 indexed citations
19.
Dai, Yuxiang, Hao Lu, Shen Wang, et al.. (2018). MicroRNA-216b actively modulates diabetic angiopathy through inverse regulation on FZD5. Gene. 658. 129–135. 7 indexed citations
20.
Dai, Yuxiang, Yuanqiang Zhang, & Wei Wu. (2013). Analysis of MEF2A Mutations in a Chinese Population with Premature Coronary Artery Disease. Genetic Testing and Molecular Biomarkers. 17(4). 352–355. 8 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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