Gádor Cantón

2.1k total citations
65 papers, 1.6k citations indexed

About

Gádor Cantón is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Gádor Cantón has authored 65 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Pulmonary and Respiratory Medicine, 29 papers in Radiology, Nuclear Medicine and Imaging and 28 papers in Surgery. Recurrent topics in Gádor Cantón's work include Cerebrovascular and Carotid Artery Diseases (57 papers), Cardiovascular Health and Disease Prevention (25 papers) and Coronary Interventions and Diagnostics (24 papers). Gádor Cantón is often cited by papers focused on Cerebrovascular and Carotid Artery Diseases (57 papers), Cardiovascular Health and Disease Prevention (25 papers) and Coronary Interventions and Diagnostics (24 papers). Gádor Cantón collaborates with scholars based in United States, China and United Kingdom. Gádor Cantón's co-authors include Chun Yuan, Thomas S. Hatsukami, David I. Levy, Juan C. Lasheras, Dalin Tang, Chun Yang, Marina S. Ferguson, Zhongzhao Teng, Daniel S. Hippe and Xueying Huang and has published in prestigious journals such as PLoS ONE, Stroke and Scientific Reports.

In The Last Decade

Gádor Cantón

62 papers receiving 1.6k citations

Peers

Gádor Cantón
Xihai Zhao China
Niranjan Balu United States
Randy Small United States
Harald C. Groen Netherlands
Yiemeng Hoi United States
Hediyeh Baradaran United States
Jianming Cai China
Michael Kallmayer Germany
Xihai Zhao China
Qingsheng Lu China
Xihai Zhao China
Gádor Cantón
Citations per year, relative to Gádor Cantón Gádor Cantón (= 1×) peers Xihai Zhao

Countries citing papers authored by Gádor Cantón

Since Specialization
Citations

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

Fields of papers citing papers by Gádor Cantón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gádor Cantón

This figure shows the co-authorship network connecting the top 25 collaborators of Gádor Cantón. A scholar is included among the top collaborators of Gádor Cantón 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 Gádor Cantón. Gádor Cantón 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.
Zhang, Kaiyu, Gádor Cantón, Yin Guo, et al.. (2024). Estimating Flow Direction of Circle of Willis Using Dynamic Arterial Spin-Labeling MR Angiography. American Journal of Neuroradiology. 45(10). 1419–1426.
2.
Cantón, Gádor, et al.. (2024). DANTE-CAIPI Accelerated Contrast-Enhanced 3D T1: Deep Learning–Based Image Quality Improvement for Vessel Wall MRI. American Journal of Neuroradiology. 46(1). 49–56. 2 indexed citations
3.
Cantón, Gádor, Daniel S. Hippe, Jie Sun, et al.. (2024). Pathophysiology of carotid atherosclerosis: Calcification, intraplaque haemorrhage and pulse pressure as key players. European Journal of Radiology. 178. 111647–111647. 3 indexed citations
4.
Zhang, Kaiyu, Zhensen Chen, Li Chen, et al.. (2022). Alterations in cerebral distal vascular features and effect on cognition in a high cardiovascular risk population: A prospective longitudinal study. Magnetic Resonance Imaging. 98. 36–43. 3 indexed citations
5.
Sun, Jie, Mahmud Mossa‐Basha, Gádor Cantón, et al.. (2022). Characterization of non-stenotic plaques in intracranial arteries with multi-contrast, multi-planar vessel wall image analysis. Journal of Stroke and Cerebrovascular Diseases. 31(10). 106719–106719. 4 indexed citations
6.
Sun, Jie, Norman E. Lepor, Gádor Cantón, et al.. (2021). Serial magnetic resonance imaging detects a rapid reduction in plaque lipid content under PCSK9 inhibition with alirocumab. International journal of cardiac imaging. 37(4). 1415–1422. 17 indexed citations
7.
Chen, Zhensen, Niranjan Balu, Zechen Zhou, et al.. (2021). Vessel length on SNAP MRA and TOF MRA is a potential imaging biomarker for brain blood flow. Magnetic Resonance Imaging. 79. 20–27. 8 indexed citations
8.
Chen, Li, Jie Sun, Gádor Cantón, et al.. (2020). Automated Artery Localization and Vessel Wall Segmentation Using Tracklet Refinement and Polar Conversion. IEEE Access. 8. 217603–217614. 16 indexed citations
9.
Wei, H., Xihai Zhao, Gádor Cantón, et al.. (2019). Evaluation of 3D multi-contrast carotid vessel wall MRI: a comparative study. Quantitative Imaging in Medicine and Surgery. 10(1). 269–282. 11 indexed citations
10.
Sun, Jie, Xue-Qiao Zhao, Niranjan Balu, et al.. (2017). Carotid Plaque Lipid Content and Fibrous Cap Status Predict Systemic CV Outcomes. JACC. Cardiovascular imaging. 10(3). 241–249. 79 indexed citations
11.
O’Brien, Kevin D., Daniel S. Hippe, Huijun Chen, et al.. (2016). Summary of clinical and laboratory data of study subjects with and without DCE-MRI plaque measurements in the AIM-HIGH clinical trial. Data in Brief. 6. 476–481. 2 indexed citations
12.
Yuan, Chun, et al.. (2015). Quest for the Vulnerable Atheroma: Carotid Stenosis and Diametric Strain—A Feasibility Study. Ultrasound in Medicine & Biology. 42(3). 699–716. 6 indexed citations
13.
Helck, Andreas, Gádor Cantón, Chun Yuan, et al.. (2015). Intra-individual comparison of carotid and femoral atherosclerotic plaque features with in vivo MR plaque imaging. International journal of cardiac imaging. 31(8). 1611–1618. 9 indexed citations
14.
Tang, Dalin, et al.. (2013). Correlations between carotid plaque progression and mechanical stresses change sign over time: a patient follow up study using MRI and 3D FSI models. BioMedical Engineering OnLine. 12(1). 105–105. 20 indexed citations
15.
Tang, Dalin, Chun Yang, Jie Zheng, et al.. (2013). Image-Based Modeling and Precision Medicine: Patient-Specific Carotid and Coronary Plaque Assessment and Predictions. IEEE Transactions on Biomedical Engineering. 60(3). 643–651. 8 indexed citations
16.
Cantón, Gádor, Daniel S. Hippe, Jie Sun, et al.. (2012). Characterization of distensibility, plaque burden, and composition of the atherosclerotic carotid artery using magnetic resonance imaging. Medical Physics. 39(10). 6247–6253. 18 indexed citations
17.
Wang, Jinnan, Niranjan Balu, Gádor Cantón, & Chun Yuan. (2010). Imaging biomarkers of cardiovascular disease. Journal of Magnetic Resonance Imaging. 32(3). 502–515. 15 indexed citations
18.
Chu, Baocheng, Marina S. Ferguson, Huijun Chen, et al.. (2009). Cardiac Magnetic Resonance Features of the Disruption-Prone and the Disrupted Carotid Plaque. JACC. Cardiovascular imaging. 2(7). 883–896. 33 indexed citations
19.
Tang, Dalin, Zhongzhao Teng, Gádor Cantón, et al.. (2009). Local critical stress correlates better than global maximum stress with plaque morphological features linked to atherosclerotic plaque vulnerability: an in vivo multi-patient study. BioMedical Engineering OnLine. 8(1). 15–15. 58 indexed citations
20.
Tang, Dalin, Chun Yang, Sayan Mondal, et al.. (2008). A negative correlation between human carotid atherosclerotic plaque progression and plaque wall stress: In vivo MRI-based 2D/3D FSI models. Journal of Biomechanics. 41(4). 727–736. 100 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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