Xinkai Qu

692 total citations
26 papers, 496 citations indexed

About

Xinkai Qu is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Epidemiology. According to data from OpenAlex, Xinkai Qu has authored 26 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cardiology and Cardiovascular Medicine, 11 papers in Molecular Biology and 6 papers in Epidemiology. Recurrent topics in Xinkai Qu's work include Congenital heart defects research (6 papers), Cardiac Imaging and Diagnostics (5 papers) and Cardiac electrophysiology and arrhythmias (4 papers). Xinkai Qu is often cited by papers focused on Congenital heart defects research (6 papers), Cardiac Imaging and Diagnostics (5 papers) and Cardiac electrophysiology and arrhythmias (4 papers). Xinkai Qu collaborates with scholars based in China, Japan and Singapore. Xinkai Qu's co-authors include Weiyi Fang, Yi‐Qing Yang, Ying‐Jia Xu, Xing‐Biao Qiu, Ruogu Li, Fang Yuan, Ruo-Gu Li, Xu Liu, Xing‐Yuan Liu and Cuimei Zhao and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and The American Journal of Cardiology.

In The Last Decade

Xinkai Qu

25 papers receiving 496 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinkai Qu China 15 295 184 128 84 47 26 496
Kuniyoshi Fukai Japan 7 246 0.8× 138 0.8× 137 1.1× 43 0.5× 24 0.5× 13 511
Bingchao Qi China 11 384 1.3× 132 0.7× 92 0.7× 29 0.3× 26 0.6× 18 572
Shin Ito Japan 11 250 0.8× 233 1.3× 67 0.5× 90 1.1× 25 0.5× 37 580
Motoki Uchihashi Japan 6 251 0.9× 131 0.7× 128 1.0× 31 0.4× 23 0.5× 8 499
Kimberly Demos-Davies United States 9 256 0.9× 136 0.7× 41 0.3× 46 0.5× 31 0.7× 13 424
Fuqin Tang China 11 208 0.7× 82 0.4× 114 0.9× 29 0.3× 12 0.3× 22 424
Barbra Toro Chile 10 253 0.9× 87 0.5× 184 1.4× 33 0.4× 12 0.3× 11 490
Xiaolei Bi China 8 175 0.6× 80 0.4× 99 0.8× 18 0.2× 16 0.3× 11 375
Huitong Shan China 10 507 1.7× 46 0.3× 89 0.7× 100 1.2× 15 0.3× 17 753
Yoshimune Hiramoto Japan 5 207 0.7× 78 0.4× 106 0.8× 35 0.4× 7 0.1× 9 380

Countries citing papers authored by Xinkai Qu

Since Specialization
Citations

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

Fields of papers citing papers by Xinkai Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinkai Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Xinkai Qu. A scholar is included among the top collaborators of Xinkai 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 Xinkai Qu. Xinkai 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.
Joo, Hyung Joon, Seung‐Cheol Choi, Lihua Huang, et al.. (2024). Nanotopography promotes cardiogenesis of pluripotent stem cell-derived embryoid bodies through focal adhesion kinase signaling. Biochemical and Biophysical Research Communications. 735. 150796–150796. 1 indexed citations
2.
3.
Zhang, Youjun, et al.. (2017). Comparison of transcatheter and surgical treatment of paravalvular leak: Results from a 5‐year follow‐up study. Catheterization and Cardiovascular Interventions. 94(2). E88–E95. 6 indexed citations
4.
Zhang, Min, Shuping Wang, Zhicheng Pan, et al.. (2017). AMPK/NF-κB signaling pathway regulated by ghrelin participates in the regulation of HUVEC and THP1 Inflammation. Molecular and Cellular Biochemistry. 437(1-2). 45–53. 15 indexed citations
5.
Liu, Hua, et al.. (2015). Associations between pentraxin 3 and severity of coronary artery disease. BMJ Open. 5(4). e007123–e007123. 18 indexed citations
6.
Qu, Xinkai, Fang Yuan, Ruogu Li, et al.. (2015). Prevalence and spectrum of LRRC10 mutations associated with idiopathic dilated cardiomyopathy. Molecular Medicine Reports. 12(3). 3718–3724. 20 indexed citations
7.
Ma, Yingxin, Hui Nie, Heyu Chen, et al.. (2015). NAD<sup>+</sup>/NADH Metabolism and NAD<sup>+</sup>-Dependent Enzymes in Cell Death and Ischemic Brain Injury: Current Advances and Therapeutic Implications. Current Medicinal Chemistry. 22(10). 1239–1247. 36 indexed citations
8.
Wang, Jun, Zhang Dai-fu, Yu‐Min Sun, et al.. (2014). NKX2-6 mutation predisposes to familial atrial fibrillation. International Journal of Molecular Medicine. 34(6). 1581–1590. 23 indexed citations
9.
Dai, Neng, Kai Tang, Yanqing Chen, et al.. (2014). GATA5 loss-of-function mutation in familial dilated cardiomyopathy. International Journal of Molecular Medicine. 35(3). 763–770. 31 indexed citations
10.
Qu, Xinkai, Weiyi Fang, Kaizheng Gong, et al.. (2014). Clinical Significance of A Single Multi-Slice CT Assessment in Patients with Coronary Chronic Total Occlusion Lesions Prior to Revascularization. PLoS ONE. 9(6). e98242–e98242. 5 indexed citations
11.
Zhao, Lan, Xing‐Yuan Liu, Dong‐Qing Wei, et al.. (2014). Prevalence and spectrum of Nkx2.6 mutations in patients with congenital heart disease. European Journal of Medical Genetics. 57(10). 579–586. 22 indexed citations
12.
Xu, Lei, Lan Zhao, Fang Yuan, et al.. (2014). GATA6 loss-of-function mutations contribute to familial dilated cardiomyopathy. International Journal of Molecular Medicine. 34(5). 1315–1322. 29 indexed citations
13.
Qu, Xinkai, Xing‐Biao Qiu, Fang Yuan, et al.. (2014). A Novel NKX2.5 Loss-of-Function Mutation Associated With Congenital Bicuspid Aortic Valve. The American Journal of Cardiology. 114(12). 1891–1895. 66 indexed citations
14.
Wang, Juan, Keke Ding, Weijun Xu, et al.. (2014). A Novel NKX2.6 Mutation Associated with Congenital Ventricular Septal Defect. Pediatric Cardiology. 36(3). 646–656. 24 indexed citations
15.
Li, Ruogu, Xinkai Qu, Lei Tang, et al.. (2013). Fosinoprilat alleviates lipopolysaccharide (LPS)-induced inflammation by inhibiting TLR4/NF-κB signaling in monocytes. Cellular Immunology. 284(1-2). 182–186. 9 indexed citations
16.
Qu, Xinkai, Weiyi Fang, Jianding Ye, et al.. (2013). Utility of 64-MSCT in assessing acute non-reperfused myocardial infarct size.. PubMed. 10(3). 247–52. 1 indexed citations
17.
Li, Ruogu, Qian Wang, Ying‐Jia Xu, et al.. (2013). Mutations of the SCN4B-encoded sodium channel β4 subunit in familial atrial fibrillation. International Journal of Molecular Medicine. 32(1). 144–150. 52 indexed citations
18.
Li, Ruo-Gu, et al.. (2012). Atorvastatin decreases Toll-like receptor 4 expression and downstream signaling in human monocytic leukemia cells. Cellular Immunology. 279(1). 96–102. 26 indexed citations
19.
Shi, Haifeng, Qian Wang, Ruogu Li, et al.. (2012). Prevalence and spectrum of GJA5 mutations associated with lone atrial fibrillation. Molecular Medicine Reports. 7(3). 767–774. 26 indexed citations
20.
Qu, Xinkai, Weiyi Fang, Jianding Ye, et al.. (2011). Acute and chronic myocardial infarction in a pig model: Utility of multi-slice cardiac computed tomography in assessing myocardial viability and infarct parameters. European Journal of Radiology. 81(4). e431–e437. 4 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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