Yingling Zhou

783 total citations
33 papers, 521 citations indexed

About

Yingling Zhou is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yingling Zhou has authored 33 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cardiology and Cardiovascular Medicine, 10 papers in Surgery and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yingling Zhou's work include Lipoproteins and Cardiovascular Health (7 papers), Acute Myocardial Infarction Research (6 papers) and Cardiac Imaging and Diagnostics (5 papers). Yingling Zhou is often cited by papers focused on Lipoproteins and Cardiovascular Health (7 papers), Acute Myocardial Infarction Research (6 papers) and Cardiac Imaging and Diagnostics (5 papers). Yingling Zhou collaborates with scholars based in China, United States and Australia. Yingling Zhou's co-authors include Anping Cai, Ling Wang, Tsung O. Cheng, Weiyi Mai, Dongdan Zheng, Ruofeng Qiu, Ji-yan Chen, Jiyan Chen, Tao Huang and Yigao Huang and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and European Heart Journal.

In The Last Decade

Yingling Zhou

32 papers receiving 503 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingling Zhou China 13 271 156 129 114 106 33 521
Hidetomo Maruyoshi Japan 11 270 1.0× 109 0.7× 338 2.6× 140 1.2× 56 0.5× 16 523
Rıdvan Yalçin Türkiye 15 292 1.1× 127 0.8× 48 0.4× 60 0.5× 63 0.6× 46 630
Necati Dağlı Türkiye 10 153 0.6× 121 0.8× 122 0.9× 59 0.5× 26 0.2× 24 426
Takashi Kohno Japan 15 395 1.5× 118 0.8× 81 0.6× 66 0.6× 53 0.5× 40 635
Masanobu Yoshida Japan 15 437 1.6× 69 0.4× 59 0.5× 127 1.1× 150 1.4× 36 627
Anestis Moumtzouoglou Greece 8 144 0.5× 89 0.6× 105 0.8× 31 0.3× 108 1.0× 12 351
Ming‐Lung Tsai Taiwan 15 156 0.6× 153 1.0× 53 0.4× 57 0.5× 39 0.4× 33 465
Ernesto Di Betta Italy 14 101 0.4× 331 2.1× 85 0.7× 135 1.2× 57 0.5× 30 621
Choy Lewis United States 6 172 0.6× 95 0.6× 255 2.0× 327 2.9× 31 0.3× 11 596
Evanthia Bletsa Greece 10 154 0.6× 67 0.4× 37 0.3× 70 0.6× 53 0.5× 33 460

Countries citing papers authored by Yingling Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Yingling Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingling Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Yingling Zhou. A scholar is included among the top collaborators of Yingling Zhou 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 Yingling Zhou. Yingling Zhou 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.
Cai, Anping, Zhiqiang Nie, Yanqiu Ou, et al.. (2022). Association between sociodemographic status and cardiovascular risk factors burden in community populations: implication for reducing cardiovascular disease burden. BMC Public Health. 22(1). 1996–1996. 5 indexed citations
4.
Zhang, Ying, Yongbin Chen, Guo Chen, et al.. (2020). Upregulation of miR-361-3p suppresses serotonin-induced proliferation in human pulmonary artery smooth muscle cells by targeting SERT. Cellular & Molecular Biology Letters. 25(1). 45–45. 11 indexed citations
5.
Feng, Zhe, et al.. (2020). Exploring biomarkers and therapeutic targets for pressure overload induced heart failure based on microarray data. Cardiovascular Diagnosis and Therapy. 10(5). 1226–1237. 1 indexed citations
6.
Liu, Yong, Qiang Li, Shiqun Chen, et al.. (2018). A Simple Modified Framingham Scoring System to Predict Obstructive Coronary Artery Disease. Journal of Cardiovascular Translational Research. 11(6). 495–502. 1 indexed citations
7.
Cai, Anping, Chaofan Liu, Dan Zhou, et al.. (2017). Ambulatory blood pressure is superior to clinic blood pressure in relation to ischemic stroke in both diabetic and nondiabetic patients. Blood Pressure Monitoring. 22(6). 314–321. 9 indexed citations
8.
Cai, Anping, Yingling Zhou, Jiawei Zhang, et al.. (2017). Epidemiological characteristics and gender-specific differences of obstructive sleep apnea in a Chinese hypertensive population: a cross-sectional study. BMC Cardiovascular Disorders. 17(1). 8–8. 10 indexed citations
9.
Cai, Anping, Ling Wang, & Yingling Zhou. (2016). Hypertension and obstructive sleep apnea. Hypertension Research. 39(6). 391–395. 79 indexed citations
10.
Cai, Anping, Qi Zhong, Chaofan Liu, et al.. (2016). Associations of systolic and diastolic blood pressure night-to-day ratios with atherosclerotic cardiovascular diseases. Hypertension Research. 39(12). 874–878. 23 indexed citations
11.
Wang, Ling, Anping Cai, Jiawei Zhang, et al.. (2016). Association of obstructive sleep apnea plus hypertension and prevalent cardiovascular diseases. Medicine. 95(39). e4691–e4691. 15 indexed citations
12.
13.
Zhang, Jinxia, Zhihua Gong, Yingqing Feng, et al.. (2015). [Association between body mass index and cardiovascular events in male elderly hypertensive patients].. PubMed. 43(3). 239–43. 1 indexed citations
14.
Huang, Yuqing, Lei Jiang, Xuebiao Wei, et al.. (2015). [Clinical features of 17 cases of rhabdomyolysis].. PubMed. 43(1). 68–71. 1 indexed citations
15.
Wei, Xuebiao, et al.. (2014). Framingham Risk Score for the prediction of coronary artery disease in patients with chronic rheumatic heart disease. Diagnosis. 1(3). 233–238. 2 indexed citations
16.
Qiu, Ruofeng, Anping Cai, Yugang Dong, et al.. (2012). SDF-1α upregulation by atorvastatin in rats with acute myocardial infarction via nitric oxide production confers anti-inflammatory and anti-apoptotic effects. Journal of Biomedical Science. 19(1). 99–99. 21 indexed citations
17.
Yu, Danqing, Ji-yan Chen, Ling Xue, et al.. (2011). Effect of atorvastatin therapy on borderline vulnerable lesions in patients with acute coronary syndrome. Archives of Medical Science. 3(3). 433–439. 12 indexed citations
18.
Cheng, Tsung O., et al.. (1996). Percutaneous Balloon Valvuloplasty for Pulmonic Stenosis in Adolescents and Adults. New England Journal of Medicine. 335(1). 21–25. 83 indexed citations
19.
Cheng, Tsung O., et al.. (1993). Percutaneous balloon mitral valvuloplasty for mitral stenosis with and without associated aortic regurgitation. American Heart Journal. 125(1). 128–137. 8 indexed citations
20.
Cheng, Tsung O., et al.. (1992). Long-term results of percutaneous mitral valvuloplasty with the Inoue balloon catheter. The American Journal of Cardiology. 70(18). 1445–1448. 56 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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