Seokhun Yang

1.6k total citations
47 papers, 583 citations indexed

About

Seokhun Yang is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Seokhun Yang has authored 47 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Cardiology and Cardiovascular Medicine, 25 papers in Surgery and 25 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Seokhun Yang's work include Cardiac Imaging and Diagnostics (24 papers), Coronary Interventions and Diagnostics (24 papers) and Acute Myocardial Infarction Research (16 papers). Seokhun Yang is often cited by papers focused on Cardiac Imaging and Diagnostics (24 papers), Coronary Interventions and Diagnostics (24 papers) and Acute Myocardial Infarction Research (16 papers). Seokhun Yang collaborates with scholars based in South Korea, Japan and China. Seokhun Yang's co-authors include Bon‐Kwon Koo, Seung‐Pyo Lee, Soongu Kwak, Jun‐Bean Park, Soonil Kwon, Heesun Lee, Kyungdo Han, Hyun‐Jung Lee, Yong‐Jin Kim and Jagat Narula and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Seokhun Yang

44 papers receiving 577 citations

Peers

Seokhun Yang

CCM

RNMI

SURGE

EPIDE

HTM

Wen-Hsien Lee Taiwan

Soe Moe Aung Türkiye

Giulia Iannaccone Italy

Emma Coady United Kingdom

Jin Kyung Hwang South Korea

D. Schoors Belgium

Jeonggeun Moon South Korea

Karim D. Mahmoud Netherlands

Paweł Kralisz Poland

Salvatore La Carrubba Italy

Wen-Hsien Lee Taiwan

Seokhun Yang

526 ×1.5

CCM

136 ×0.7

RNMI

168 ×0.9

SURGE

55 ×0.6

EPIDE

28 ×0.4

HTM

Citations per year, relative to Seokhun Yang Seokhun Yang (= 1×) peers Wen-Hsien Lee

Countries citing papers authored by Seokhun Yang

Since Specialization

Citations

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

Fields of papers citing papers by Seokhun Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seokhun Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Seokhun Yang. A scholar is included among the top collaborators of Seokhun 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 Seokhun Yang. Seokhun Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Hwang, Doyeon, Jae-Wook Chung, Seokhun Yang, et al.. (2025). Long-Term and Temporal Relationships Between Post-Stent Fractional Flow Reserve and Clinical Outcomes. JACC: Cardiovascular Interventions. 18(23). 2863–2874. 1 indexed citations

Rioufol, Gilles, Joo-Yong Hahn, Bon‐Kwon Koo, et al.. (2025). Fractional flow reserve vs angiography to guide percutaneous coronary intervention: an individual patient data meta-analysis. European Heart Journal. 46(39). 3851–3859. 2 indexed citations

Yang, Seokhun, et al.. (2025). Towards Green Cardiovascular Care: Carbon Footprint Analysis in the Management of Coronary Artery Disease. Korean Circulation Journal. 56(1). 1–1.

Han, Jung‐Kyu, Seokhun Yang, Han‐Mo Yang, et al.. (2025). Short-Term DAPT After Complex PCI With Third-Generation DES: A Post Hoc Analysis of the HOST-IDEA Trial. Circulation Cardiovascular Interventions. 18(5). e014623–e014623.

Rhee, Tae‐Min, Seokhun Yang, Heesun Lee, et al.. (2024). Combined Effect of Air Pollution and Genetic Risk on Incident Cardiovascular Diseases. Journal of the American Heart Association. 13(22). e033497–e033497. 6 indexed citations

Kwak, Soongu, Seung‐Ah Lee, Jaehyun Lim, et al.. (2023). Data-driven mortality risk prediction of severe degenerative mitral regurgitation patients undergoing mitral valve surgery. European Heart Journal - Cardiovascular Imaging. 24(9). 1156–1165. 3 indexed citations

Kwak, Soongu, Jaehyun Lim, Seokhun Yang, et al.. (2023). Atrial Functional Tricuspid Regurgitation. JACC. Cardiovascular imaging. 16(5). 575–587. 18 indexed citations

Yang, Seokhun, Masahiro Hoshino, Taishi Yonetsu, et al.. (2023). Outcomes of non-ischaemic coronary lesions with high-risk plaque characteristics on coronary CT angiography. EuroIntervention. 18(12). 1011–1021. 3 indexed citations

Yang, Seokhun & Bon‐Kwon Koo. (2023). Physiology Versus Imaging-Guided Revascularization. JACC Asia. 3(3). 521–525. 4 indexed citations

10.

Kwak, Soongu, Seung‐Ah Lee, Jaehyun Lim, et al.. (2022). Long-term outcomes in distinct phenogroups of patients with primary mitral regurgitation undergoing valve surgery. Heart. 109(4). 305–313. 8 indexed citations

11.

Yang, Seokhun, Masahiro Hoshino, Bon‐Kwon Koo, et al.. (2022). Relationship of Plaque Features at Coronary CT to Coronary Hemodynamics and Cardiovascular Events. Radiology. 305(3). 578–587. 21 indexed citations

12.

Yang, Seokhun, Soongu Kwak, Seung Seok Han, et al.. (2022). Association of Longitudinal Trajectories of Insulin Resistance With Adverse Renal Outcomes. Diabetes Care. 45(5). 1268–1275. 17 indexed citations

13.

Kim, Chee Hae, Seokhun Yang, Jinlong Zhang, et al.. (2022). Differences in Plaque Characteristics and Myocardial Mass. JACC Asia. 2(2). 157–167. 4 indexed citations

14.

Zhang, Jinlong, Doyeon Hwang, Seokhun Yang, et al.. (2021). Differential Prognostic Implications of Pre- and Post-Stent Fractional Flow Reserve in Patients Undergoing Percutaneous Coronary Intervention. Korean Circulation Journal. 52(1). 47–47. 3 indexed citations

15.

Yang, Seokhun, Bon‐Kwon Koo, Doyeon Hwang, et al.. (2021). High-Risk Morphological and Physiological Coronary Disease Attributes as Outcome Markers After Medical Treatment and Revascularization. JACC. Cardiovascular imaging. 14(10). 1977–1989. 15 indexed citations

16.

Yang, Seokhun, Joo Myung Lee, Masahiro Hoshino, et al.. (2021). Prognostic Implications of Comprehensive Whole Vessel Plaque Quantification Using Coronary Computed Tomography Angiography. JACC Asia. 1(1). 37–48. 10 indexed citations

17.

Yang, Seokhun, Bon‐Kwon Koo, & Jagat Narula. (2021). Interactions Between Morphological Plaque Characteristics and Coronary Physiology. JACC. Cardiovascular imaging. 15(6). 1139–1151. 24 indexed citations

18.

Yang, Seokhun, Jinlong Zhang, Doyeon Hwang, et al.. (2021). Effect of Coronary Disease Characteristics on Prognostic Relevance of Residual Ischemia After Stent Implantation. Frontiers in Cardiovascular Medicine. 8. 696756–696756.

19.

Kwak, Soongu, You‐Jung Choi, Soonil Kwon, et al.. (2020). De novo malignancy risk in patients undergoing the first percutaneous coronary intervention: A nationwide population-based cohort study. International Journal of Cardiology. 313. 25–31. 9 indexed citations

20.

Park, Jiesuck, Myung‐Jin Cha, You‐Jung Choi, et al.. (2018). Prognostic efficacy of platelet count in patients with nonvalvular atrial fibrillation. Heart Rhythm. 16(2). 197–203. 20 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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