Yingkun Guo

3.4k total citations
202 papers, 2.2k citations indexed

About

Yingkun Guo is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yingkun Guo has authored 202 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Cardiology and Cardiovascular Medicine, 102 papers in Radiology, Nuclear Medicine and Imaging and 36 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yingkun Guo's work include Cardiac Imaging and Diagnostics (84 papers), Cardiovascular Function and Risk Factors (77 papers) and Advanced MRI Techniques and Applications (51 papers). Yingkun Guo is often cited by papers focused on Cardiac Imaging and Diagnostics (84 papers), Cardiovascular Function and Risk Factors (77 papers) and Advanced MRI Techniques and Applications (51 papers). Yingkun Guo collaborates with scholars based in China, United States and United Kingdom. Yingkun Guo's co-authors include Zhi‐gang Yang, Huayan Xu, Linjun Xie, Ke Shi, Yue Gao, Mengting Shen, Xi Liu, Li Jiang, Ke Shi and Lingyi Wen and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and PLoS ONE.

In The Last Decade

Yingkun Guo

186 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingkun Guo China 24 1.0k 963 331 267 249 202 2.2k
Chia‐Ying Liu United States 24 1.3k 1.3× 1.2k 1.2× 214 0.6× 363 1.4× 315 1.3× 43 2.3k
Daniele De Marchi Italy 26 748 0.7× 668 0.7× 293 0.9× 213 0.8× 320 1.3× 101 2.5k
Georgeta Mihai United States 17 676 0.7× 858 0.9× 276 0.8× 195 0.7× 158 0.6× 37 2.0k
Albert Flotats Spain 23 973 1.0× 1.2k 1.2× 385 1.2× 279 1.0× 188 0.8× 79 2.2k
Shin‐ichiro Kumita Japan 26 740 0.7× 1.0k 1.0× 635 1.9× 709 2.7× 253 1.0× 236 2.6k
Kelvin Chow United States 25 1.7k 1.7× 1.6k 1.6× 332 1.0× 220 0.8× 238 1.0× 109 2.7k
Montserrat Estorch Spain 28 616 0.6× 703 0.7× 273 0.8× 217 0.8× 129 0.5× 78 1.7k
James W. Lester United States 14 494 0.5× 734 0.8× 265 0.8× 145 0.5× 169 0.7× 17 1.9k
Rodrigo Fernández‐Jiménez Spain 24 1.2k 1.2× 682 0.7× 265 0.8× 244 0.9× 185 0.7× 98 2.0k
Marc Fatar Germany 25 474 0.5× 381 0.4× 150 0.5× 468 1.8× 636 2.6× 78 2.3k

Countries citing papers authored by Yingkun Guo

Since Specialization
Citations

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

Fields of papers citing papers by Yingkun Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingkun Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Yingkun Guo. A scholar is included among the top collaborators of Yingkun Guo 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 Yingkun Guo. Yingkun Guo 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.
Xiong, Hu, et al.. (2025). Open-world multi-modal machine learning decision model based on uncertain data analysis for fetal heart diagnosis. Information Sciences. 701. 121868–121868. 1 indexed citations
2.
Jiang, Li, Wei‐Feng Yan, Lu Zhang, et al.. (2024). Early left ventricular microvascular dysfunction in diabetic pigs: a longitudinal quantitative myocardial perfusion CMR study. Cardiovascular Diabetology. 23(1). 9–9. 5 indexed citations
3.
Xu, Huayan, et al.. (2024). Evaluation of cardiac remodeling in pediatric chronic kidney disease by cardiovascular magnetic resonance. BMC Cardiovascular Disorders. 24(1). 526–526.
5.
Wen, Lingyi, Xiaomin Fu, Huan Zhang, et al.. (2024). Tailoring Zinc Ferrite Nanoparticle Surface Coating for Macrophage-Affinity Magnetic Resonance Imaging of Atherosclerosis. ACS Applied Materials & Interfaces. 16(11). 13496–13508. 14 indexed citations
6.
Zhou, Ziqi, Rong Xu, Hang Fu, et al.. (2024). Association Between Myocardial Oxygenation and Fibrosis in Duchenne Muscular Dystrophy: Analysis by Rest Oxygenation‐Sensitive Magnetic Resonance Imaging. Journal of Magnetic Resonance Imaging. 60(5). 1989–1999. 2 indexed citations
7.
Zhang, Huan, et al.. (2024). Progress in ultrasmall ferrite nanoparticles enhanced T1 magnetic resonance angiography. Journal of Materials Chemistry B. 12(27). 6521–6531. 1 indexed citations
9.
Qian, Wen‐Lei, Rong Xu, Rui Shi, et al.. (2023). The worsening effect of anemia on left ventricular function and global strain in type 2 diabetes mellitus patients: a 3.0 T CMR feature tracking study. Cardiovascular Diabetology. 22(1). 15–15. 13 indexed citations
10.
Ning, Gang, et al.. (2023). Clinical significance of enlarged cardiophrenic lymph nodes by CT in advanced ovarian cancer. Frontiers in Oncology. 13. 1149139–1149139. 2 indexed citations
12.
Shi, Ke, Ge Zhang, Hang Fu, et al.. (2023). Association of insulin use with LV remodeling and clinical outcomes in diabetic patients with heart failure and reduced ejection fraction: assessed by cardiac MRI. Cardiovascular Diabetology. 22(1). 201–201. 3 indexed citations
13.
Ding, Yi, et al.. (2023). A cascaded framework with cross-modality transfer learning for whole heart segmentation. Pattern Recognition. 147. 110088–110088. 15 indexed citations
14.
Sun, Ran, Lei Wang, Xiaoyong Chen, et al.. (2022). Biocompatible Iron Oxide Nanoring-Labeled Mesenchymal Stem Cells: An Innovative Magnetothermal Approach for Cell Tracking and Targeted Stroke Therapy. ACS Nano. 16(11). 18806–18821. 32 indexed citations
15.
16.
Shi, Ke, Huayan Xu, Yong He, et al.. (2021). Inflammation in Remote Myocardium and Left Ventricular Remodeling After Acute Myocardial Infarction: A Pilot Study Using T2 Mapping. Journal of Magnetic Resonance Imaging. 55(2). 555–564. 6 indexed citations
17.
Cheng, Bochao, Yajing Meng, Yan Zuo, et al.. (2021). Functional connectivity patterns of the subgenual anterior cingulate cortex in first-episode refractory major depressive disorder. Brain Imaging and Behavior. 15(5). 2397–2405. 9 indexed citations
18.
19.
Yang, Zhi‐gang, Huayan Xu, Rong Xu, et al.. (2020). Histological Validation of Cardiovascular Magnetic Resonance T1 Mapping for Assessing the Evolution of Myocardial Injury in Myocardial Infarction: An Experimental Study. Korean Journal of Radiology. 21(12). 1294–1294. 9 indexed citations
20.
Huang, Lei, Yun Wang, Juan Liu, et al.. (2020). Short report: factors determining perceived stress among medical staff in radiology departments during the COVID-19 outbreak. Psychology Health & Medicine. 26(1). 56–61. 12 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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