Jun Kwan

1.9k total citations
78 papers, 1.3k citations indexed

About

Jun Kwan is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jun Kwan has authored 78 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Cardiology and Cardiovascular Medicine, 31 papers in Surgery and 25 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jun Kwan's work include Cardiac Imaging and Diagnostics (25 papers), Cardiovascular Function and Risk Factors (25 papers) and Cardiac Valve Diseases and Treatments (18 papers). Jun Kwan is often cited by papers focused on Cardiac Imaging and Diagnostics (25 papers), Cardiovascular Function and Risk Factors (25 papers) and Cardiac Valve Diseases and Treatments (18 papers). Jun Kwan collaborates with scholars based in South Korea, United States and Ethiopia. Jun Kwan's co-authors include Takahiro Shiota, James D. Thomas, Dae‐Hyeok Kim, Deborah A. Agler, Sung‐Hee Shin, Zoran Popović, Jian Qin, Sang‐Don Park, Keum Soo Park and Marc A. Gillinov and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Jun Kwan

74 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Kwan South Korea 20 1.0k 517 292 273 99 78 1.3k
Kohei Wakabayashi United States 19 796 0.8× 426 0.8× 185 0.6× 280 1.0× 51 0.5× 66 1.1k
Thibault Lhermusier France 18 701 0.7× 797 1.5× 287 1.0× 111 0.4× 31 0.3× 94 1.3k
Jens Dahlgaard Hove Denmark 19 489 0.5× 339 0.7× 522 1.8× 405 1.5× 38 0.4× 95 1.2k
Jei Keon Chae South Korea 18 755 0.7× 531 1.0× 206 0.7× 54 0.2× 32 0.3× 73 1.1k
Keitaro Mahara Japan 12 546 0.5× 200 0.4× 111 0.4× 109 0.4× 58 0.6× 58 780
Mario Kašner Germany 18 2.0k 2.0× 354 0.7× 493 1.7× 177 0.6× 41 0.4× 42 2.3k
Ad F.M. van den Heuvel Netherlands 16 1.4k 1.4× 734 1.4× 556 1.9× 245 0.9× 34 0.3× 41 1.8k
J Zalewski Poland 21 629 0.6× 399 0.8× 206 0.7× 194 0.7× 30 0.3× 79 1.3k
Luigi Oltrona Italy 15 1.1k 1.0× 354 0.7× 266 0.9× 154 0.6× 41 0.4× 32 1.4k
Volker Schächinger Germany 20 1.3k 1.3× 669 1.3× 512 1.8× 427 1.6× 35 0.4× 64 1.7k

Countries citing papers authored by Jun Kwan

Since Specialization
Citations

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

Fields of papers citing papers by Jun Kwan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Kwan

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Kwan. A scholar is included among the top collaborators of Jun Kwan 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 Jun Kwan. Jun Kwan 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.
Park, Jin‐Sun, Joon‐Han Shin, Dong‐Ju Choi, et al.. (2022). Central hemodynamics and the discrepancy between central blood pressure and brachial blood pressure. Medicine. 101(40). e30484–e30484. 2 indexed citations
2.
Jang, Albert Youngwoo, et al.. (2021). Valsartan Dosage on Ventriculo-Vascular Coupling Index Dose-Dependency in Heart Failure Patients. Yonsei Medical Journal. 62(5). 391–391.
4.
Park, Sang‐Don, Yong‐Soo Baek, Man‐Jong Lee, et al.. (2015). Comprehensive assessment of microcirculation after primary percutaneous intervention in ST-segment elevation myocardial infarction. Coronary Artery Disease. 27(1). 34–39. 20 indexed citations
5.
Lee, Jun‐Won, Seung‐Hwan Lee, Young Jin Youn, et al.. (2014). A Randomized, Open-Label, Multicenter Trial for the Safety and Efficacy of Adult Mesenchymal Stem Cells after Acute Myocardial Infarction. Journal of Korean Medical Science. 29(1). 23–23. 136 indexed citations
6.
Kim, Dae‐Hyeok, Sang‐Don Park, Yong‐Soo Baek, et al.. (2014). The Relationship Between J Wave on the Surface Electrocardiography and Ventricular Fibrillation during Acute Myocardial Infarction. Journal of Korean Medical Science. 29(5). 685–685. 14 indexed citations
9.
Shin, Sung‐Hee, et al.. (2012). BLOOD PRESSURE VARIABILITY IS ASSOCIATED WITH LEFT VENTRICULAR DIASTOLIC FUNCTION AND ARTERIAL STIFFNESS IN THE HYPERTENSIVE PATIENTS. Journal of the American College of Cardiology. 59(13). E1638–E1638. 2 indexed citations
10.
Ahn, Sung Gyun, Jang‐Young Kim, Byung‐Su Yoo, et al.. (2011). A RANDOMIZED, OPEN-LABELED, MULTICENTER TRIAL FOR SAFETY AND EFFICACY OF INTRACORONARY ADULT HUMAN MESENCHYMAL STEM CELLS AFTER ACUTE MYOCARDIAL INFARCTION. Journal of the American College of Cardiology. 57(14). E982–E982. 1 indexed citations
11.
Baek, Yong‐Soo, et al.. (2010). A case of asymptomatic cardiac lipoma of the left ventricular posterior papillary muscle. The Korean Journal of Internal Medicine. 79(1). 57–61. 1 indexed citations
12.
Hwang, Hye Jin, Eui‐Young Choi, Jun Kwan, et al.. (2010). Dynamic change of mitral apparatus as potential cause of left ventricular outflow tract obstruction in hypertrophic cardiomyopathy. European Journal of Echocardiography. 12(1). 19–25. 25 indexed citations
13.
Daimon, Masao, Giuseppe Saracino, A. Marc Gillinov, et al.. (2008). Local Dysfunction and Asymmetrical Deformation of Mitral Annular Geometry in Ischemic Mitral Regurgitation: A Novel Computerized 3D Echocardiographic Analysis. Echocardiography. 25(4). 414–423. 39 indexed citations
14.
Kim, Dae‐Hyeok, et al.. (2007). Change of the P wave duration and P wave dispersion according to treatment strategy in patients with a acute myocardial infarction. The Korean Journal of Internal Medicine. 73(5). 489–495. 1 indexed citations
16.
Popović, Zoran, Maureen P. Martin, Kiyotaka Fukamachi, et al.. (2005). Mitral Annulus Size Links Ventricular Dilatation to Functional Mitral Regurgitation. Journal of the American Society of Echocardiography. 18(9). 959–963. 17 indexed citations
17.
Jian, Qin, Takahiro Shiota, Hiroshi Tsujino, et al.. (2004). Mitral annular motion as a surrogate for left ventricular ejection fraction: real-time three-dimensional echocardiography and magnetic resonance imaging studies. European Journal of Echocardiography. 5(6). 407–415. 32 indexed citations
18.
Shiota, Takahiro, Yong-Jin Kim, Jun Kwan, et al.. (2003). False-positive exercise echocardiograms: impact of sex and blood pressure response. American Heart Journal. 146(5). 914–919. 17 indexed citations
19.
Yoon, Yong Han, et al.. (2002). Huge sinus of Valsalva aneurysm causing mitral valve incompetence. The Annals of Thoracic Surgery. 73(6). 1975–1977. 7 indexed citations
20.
Jones, Michael, Takahiro Shiota, Jian Qin, et al.. (2002). Evaluation of left ventricular contractile function using noninvasively derived end-systolic elastance in mitral regurgitation: experimental validation and clinical study. Journal of the American College of Cardiology. 39. 372–372. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026