Yangyang Qu

484 total citations
31 papers, 297 citations indexed

About

Yangyang Qu is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yangyang Qu has authored 31 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cardiology and Cardiovascular Medicine, 13 papers in Surgery and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yangyang Qu's work include Cardiac Imaging and Diagnostics (9 papers), Coronary Interventions and Diagnostics (7 papers) and Acute Myocardial Infarction Research (7 papers). Yangyang Qu is often cited by papers focused on Cardiac Imaging and Diagnostics (9 papers), Coronary Interventions and Diagnostics (7 papers) and Acute Myocardial Infarction Research (7 papers). Yangyang Qu collaborates with scholars based in China, Germany and United States. Yangyang Qu's co-authors include Genshan Ma, Zhenjun Ji, Rui Zhang, Wenjie Zuo, Yamin Su, Yuyu Yao, Dominik Buckert, Volker Rasche, Mingming Yang and Genshan Ma and has published in prestigious journals such as European Heart Journal, Life Sciences and BioMed Research International.

In The Last Decade

Yangyang Qu

27 papers receiving 291 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yangyang Qu China 9 127 101 68 62 44 31 297
Tiago Pereira‐da‐Silva Portugal 11 179 1.4× 80 0.8× 87 1.3× 30 0.5× 58 1.3× 47 329
Andriana Nikolova United States 9 196 1.5× 89 0.9× 125 1.8× 38 0.6× 38 0.9× 33 383
Jialu Yao China 9 382 3.0× 142 1.4× 116 1.7× 85 1.4× 48 1.1× 26 582
António Galzerano Portugal 8 63 0.5× 45 0.4× 74 1.1× 69 1.1× 49 1.1× 26 282
Angela Susana Italy 7 149 1.2× 44 0.4× 41 0.6× 24 0.4× 47 1.1× 10 308
Alessia d’Aiello Italy 9 113 0.9× 45 0.4× 70 1.0× 28 0.5× 18 0.4× 22 243
Pedro Canas da Silva Portugal 9 165 1.3× 66 0.7× 78 1.1× 45 0.7× 59 1.3× 33 273
Xiaohai Ma China 12 359 2.8× 61 0.6× 80 1.2× 214 3.5× 19 0.4× 36 525
Yongle Ruan United States 11 191 1.5× 83 0.8× 204 3.0× 41 0.7× 26 0.6× 24 401
John Bahadorani United States 9 61 0.5× 44 0.4× 180 2.6× 102 1.6× 18 0.4× 16 327

Countries citing papers authored by Yangyang Qu

Since Specialization
Citations

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

Fields of papers citing papers by Yangyang Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yangyang Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Yangyang Qu. A scholar is included among the top collaborators of Yangyang 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 Yangyang Qu. Yangyang 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
2.
Qu, Yangyang, et al.. (2024). Association between omega-6 fatty acid intake and asthma in US children and adolescents. BMC Pediatrics. 24(1). 691–691. 3 indexed citations
3.
Ji, Zhenjun, Rui Zhang, Wenjie Zuo, et al.. (2024). ADAM8 deficiency in macrophages promotes cardiac repair after myocardial infarction via ANXA2-mTOR-autophagy pathway. Journal of Advanced Research. 73. 483–499. 6 indexed citations
5.
Zhang, Rui, Zhenjun Ji, Yangyang Qu, et al.. (2023). Upregulation of Biomarker Limd1 Was Correlated with Immune Infiltration in Doxorubicin-Related Cardiotoxicity. Mediators of Inflammation. 2023. 1–23. 3 indexed citations
6.
Ji, Zhenjun, Rui Zhang, Wenjie Zuo, et al.. (2023). Inhibition of miR-195-3p protects against cardiac dysfunction and fibrosis after myocardial infarction. International Journal of Cardiology. 387. 131128–131128. 9 indexed citations
7.
Qu, Yangyang, Xiaoguo Zhang, Yamin Su, et al.. (2022). Age-Related Utilization of Thrombus Aspiration in Patients With ST-Segment Elevation Myocardial Infarction: Findings From the Improving Care for Cardiovascular Disease in China Project. Frontiers in Cardiovascular Medicine. 9. 791007–791007. 1 indexed citations
8.
Li, Hao, et al.. (2021). Quantification of Biventricular Myocardial Strain Using CMR Feature Tracking: Reproducibility in Small Animals. BioMed Research International. 2021(1). 8492705–8492705. 3 indexed citations
9.
Wang, Liang, Jian Zhu, Akiko Maehara, et al.. (2021). Quantifying Patient-Specific in vivo Coronary Plaque Material Properties for Accurate Stress/Strain Calculations: An IVUS-Based Multi-Patient Study. Frontiers in Physiology. 12. 721195–721195. 8 indexed citations
10.
Qu, Yangyang, Dominik Buckert, Genshan Ma, & Volker Rasche. (2021). Quantitative Assessment of Left and Right Atrial Strains Using Cardiovascular Magnetic Resonance Based Tissue Tracking. Frontiers in Cardiovascular Medicine. 8. 690240–690240. 15 indexed citations
11.
Zuo, Wenjie, Rui Zhang, Mingming Yang, et al.. (2021). Clinical prediction models of fractional flow reserve: an exploration of the current evidence and appraisal of model performance. Quantitative Imaging in Medicine and Surgery. 11(6). 2642–2657. 3 indexed citations
12.
Zuo, Wenjie, Xiaoguo Zhang, Yangyang Qu, et al.. (2021). The Association Between Quantitative Flow Ratio and Intravascular Imaging-defined Vulnerable Plaque Characteristics in Patients With Stable Angina and Non-ST-segment Elevation Acute Coronary Syndrome. Frontiers in Cardiovascular Medicine. 8. 690262–690262. 8 indexed citations
13.
Qu, Yangyang, et al.. (2021). Left ventricular myocardial strain quantification with two- and three-dimensional cardiovascular magnetic resonance based tissue tracking. Quantitative Imaging in Medicine and Surgery. 11(4). 1421–1436. 16 indexed citations
14.
Ji, Zhenjun, Rui Zhang, Mingming Yang, et al.. (2021). Accuracy of triggering receptor expressed on myeloid cells 1 in diagnosis and prognosis of acute myocardial infarction: a prospective cohort study. PeerJ. 9. e11655–e11655. 6 indexed citations
15.
Zhang, Rui, Zhenjun Ji, Yuyu Yao, et al.. (2020). Identification of hub genes in unstable atherosclerotic plaque by conjoint analysis of bioinformatics. Life Sciences. 262. 118517–118517. 10 indexed citations
16.
Su, Yamin, Rui Zhang, Yangyang Qu, et al.. (2020). N-methyladenosine methyltransferase plays a role in hypoxic preconditioning partially through the interaction with lncRNA H19. Acta Biochimica et Biophysica Sinica. 52(12). 1306–1315. 24 indexed citations
17.
Qu, Yangyang, Hao Li, Wolfgang Rottbauer, et al.. (2020). Right ventricular free wall longitudinal strain and strain rate quantification with cardiovascular magnetic resonance based tissue tracking. International journal of cardiac imaging. 36(10). 1985–1996. 23 indexed citations
20.
Buckert, Dominik, Michael Radermacher, Yangyang Qu, et al.. (2013). Myocardial strain characteristics and outcomes after transcatheter aortic valve replacement. Cardiology Journal. 25(2). 203–212. 7 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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