Shan Yang

529 total citations
36 papers, 395 citations indexed

About

Shan Yang is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Shan Yang has authored 36 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Surgery and 10 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Shan Yang's work include Cardiac Imaging and Diagnostics (17 papers), Advanced MRI Techniques and Applications (14 papers) and Cardiovascular Function and Risk Factors (7 papers). Shan Yang is often cited by papers focused on Cardiac Imaging and Diagnostics (17 papers), Advanced MRI Techniques and Applications (14 papers) and Cardiovascular Function and Risk Factors (7 papers). Shan Yang collaborates with scholars based in China, United States and Japan. Shan Yang's co-authors include Hang Jin, Hong Yun, Mengsu Zeng, Liang Liang, Zhiyong Zhang, Juying Qian, Mengsu Zeng, Zheyong Huang, Junbo Ge and Jianfeng Xu and has published in prestigious journals such as Biomaterials, Radiology and Journal of Leukocyte Biology.

In The Last Decade

Shan Yang

35 papers receiving 395 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shan Yang China 12 151 128 99 90 65 36 395
Hollins Clark United States 10 135 0.9× 98 0.8× 70 0.7× 181 2.0× 22 0.3× 20 436
Benjamin King United States 10 116 0.8× 98 0.8× 191 1.9× 128 1.4× 44 0.7× 29 467
Nils A. Kraemer Germany 12 195 1.3× 187 1.5× 132 1.3× 79 0.9× 63 1.0× 30 505
C. Franzius Germany 5 105 0.7× 83 0.6× 72 0.7× 189 2.1× 15 0.2× 7 336
Jean‐Pierre Tasu France 12 107 0.7× 161 1.3× 58 0.6× 40 0.4× 35 0.5× 28 344
Sergio Casillas United States 11 37 0.2× 354 2.8× 51 0.5× 117 1.3× 21 0.3× 18 572
Jingfang Mao China 11 74 0.5× 58 0.5× 10 0.1× 130 1.4× 34 0.5× 31 286
Xiangwu Zheng China 14 305 2.0× 142 1.1× 37 0.4× 267 3.0× 92 1.4× 53 522
Karin Palmowski Germany 10 40 0.3× 26 0.2× 11 0.1× 445 4.9× 49 0.8× 15 551
Mona-Elisabeth Revheim Norway 11 204 1.4× 50 0.4× 63 0.6× 173 1.9× 29 0.4× 43 389

Countries citing papers authored by Shan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shan Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Shan Yang. A scholar is included among the top collaborators of Shan Yang 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 Shan Yang. Shan Yang 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.
Qiao, Guanyu, Shan Yang, Hang Jin, et al.. (2023). Comparison of CT-derived Plaque Characteristic Index With CMR Perfusion for Ischemia Diagnosis in Stable CAD. Circulation Cardiovascular Imaging. 16(9). e015773–e015773. 2 indexed citations
3.
Yao, Zhifeng, Shan Yang, Hong Yun, et al.. (2023). Fully automated pixel-wise quantitative CMR-myocardial perfusion with CMR-coronary angiography to detect hemodynamically significant coronary artery disease. European Radiology. 33(10). 7238–7249. 8 indexed citations
4.
Yang, Shuyi, Fei Shan, Yuxin Shi, et al.. (2022). Sensitivity and specificity of magnetic resonance imaging in routine diagnosis of pulmonary lesions: a comparison with computed tomography. Journal of Thoracic Disease. 14(10). 3762–3772. 4 indexed citations
5.
Jin, Hang, et al.. (2021). Coronary CT Angiography in Asymptomatic Adults with Hepatic Steatosis. Radiology. 301(3). 593–601. 4 indexed citations
6.
Taniguchi, Akira, Shan Yang, Hong Yun, et al.. (2021). Prospective comparison of integrated on-site CT-fractional flow reserve and static CT perfusion with coronary CT angiography for detection of flow-limiting coronary stenosis. European Radiology. 31(7). 5096–5105. 12 indexed citations
7.
Yang, Shuyi, Yida Wang, Yuxin Shi, et al.. (2021). Radiomics nomogram analysis of T2-fBLADE-TSE in pulmonary nodules evaluation. Magnetic Resonance Imaging. 85. 80–86. 7 indexed citations
8.
Guo, Jiajun, Shan Yang, Jianying Ma, et al.. (2021). Assessment of Non-contrast-enhanced Dixon Water-fat Separation Compressed Sensing Whole-heart Coronary MR Angiography at 3.0 T: A Single-center Experience. Academic Radiology. 29. S82–S90. 12 indexed citations
9.
Chen, Yinyin, Shan Yang, Hong Yun, et al.. (2020). Role of free-breathing motion-corrected late gadolinium enhancement technique for image quality assessment and LGE quantification. European Journal of Radiology. 135. 109510–109510. 6 indexed citations
10.
Lu, Yanfeng, et al.. (2017). The I2R-NWPU Text-to-Speech System for Blizzard Challenge 2017. 38–43. 1 indexed citations
11.
Yun, Hong, et al.. (2017). Association of native T1 times with biventricular function and hemodynamics in precapillary pulmonary hypertension. International journal of cardiac imaging. 33(8). 1179–1189. 20 indexed citations
12.
Ren, Daoyuan, Shan Yang, Hong Yun, et al.. (2016). Myocardial extracellular volume fraction measurement in chronic total coronary occlusion: Association with myocardial injury, angiographic collateral flow, and functional recovery. Journal of Magnetic Resonance Imaging. 44(4). 972–982. 8 indexed citations
13.
Zhang, Weiguo, Shan Yang, Hong Yun, et al.. (2015). Extracellular volume fraction in coronary chronic total occlusion patients. International journal of cardiac imaging. 31(6). 1211–1221. 4 indexed citations
14.
Li­, ­Jun, Kai Zhu, Shan Yang, et al.. (2015). Fibrin patch-based insulin-like growth factor-1 gene-modified stem cell transplantation repairs ischemic myocardium. Experimental Biology and Medicine. 240(5). 585–592. 5 indexed citations
15.
16.
Huang, Zheyong, Yunli Shen, Aijun Sun, et al.. (2013). The effect of nonuniform magnetic targeting of intracoronary-delivering mesenchymal stem cells on coronary embolisation. Biomaterials. 34(38). 9905–9916. 32 indexed citations
17.
Shan, Fei, et al.. (2013). First-Pass CT Perfusion in Small Peripheral Lung Cancers. Academic Radiology. 20(8). 972–979. 7 indexed citations
18.
Yun, Hong, et al.. (2013). Coronary artery angiography and myocardial viability imaging: a 3.0-T contrast-enhanced magnetic resonance coronary artery angiography with Gd-BOPTA. International journal of cardiac imaging. 30(1). 99–108. 6 indexed citations
19.
Shan, Fei, Zhiyong Zhang, Xing Wei, et al.. (2012). Differentiation between malignant and benign solitary pulmonary nodules: Use of volume first-pass perfusion and combined with routine computed tomography. European Journal of Radiology. 81(11). 3598–3605. 14 indexed citations
20.
Jin, Hang, et al.. (2009). A study of in vitro and in vivo MR of free-breathing whole-heart 3D coronary angiography using parallel imaging. International journal of cardiac imaging. 25(S1). 121–129. 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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