Soo Youn Lee

1.0k total citations
23 papers, 643 citations indexed

About

Soo Youn Lee is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Soo Youn Lee has authored 23 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cardiology and Cardiovascular Medicine, 8 papers in Pulmonary and Respiratory Medicine and 4 papers in Surgery. Recurrent topics in Soo Youn Lee's work include ECG Monitoring and Analysis (8 papers), Cardiac Valve Diseases and Treatments (6 papers) and Cardiovascular Function and Risk Factors (6 papers). Soo Youn Lee is often cited by papers focused on ECG Monitoring and Analysis (8 papers), Cardiac Valve Diseases and Treatments (6 papers) and Cardiovascular Function and Risk Factors (6 papers). Soo Youn Lee collaborates with scholars based in South Korea, United States and Japan. Soo Youn Lee's co-authors include Kyung‐Hee Kim, Ki‐Hyun Jeon, Byung‐Hee Oh, Jinsik Park, Joon‐myoung Kwon, Younghoon Cho, Soohyun Cho, Yeha Lee, Joon-myoung Kwon and Yong‐Yeon Jo and has published in prestigious journals such as PLoS ONE, Bioresource Technology and Scientific Reports.

In The Last Decade

Soo Youn Lee

23 papers receiving 626 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Soo Youn Lee South Korea 12 487 110 100 83 66 23 643
Gaurav Satam United States 3 797 1.6× 134 1.2× 183 1.8× 123 1.5× 115 1.7× 6 1.0k
Rak Kyeong Choi South Korea 13 428 0.9× 89 0.8× 131 1.3× 29 0.3× 40 0.6× 45 592
Min Jeong Kim South Korea 9 234 0.5× 47 0.4× 57 0.6× 29 0.3× 35 0.5× 27 460
Alexander Valys United States 4 300 0.6× 69 0.6× 36 0.4× 30 0.4× 66 1.0× 6 394
Joon-myoung Kwon South Korea 5 232 0.5× 60 0.5× 42 0.4× 56 0.7× 22 0.3× 6 296
Conner Galloway United States 5 245 0.5× 67 0.6× 35 0.3× 33 0.4× 46 0.7× 9 321
Lucas A. Ramos Netherlands 14 122 0.3× 160 1.5× 80 0.8× 29 0.3× 55 0.8× 19 547
Jennifer Dugan United States 8 283 0.6× 79 0.7× 46 0.5× 19 0.2× 43 0.7× 14 361
Trygve Eftestøl Norway 14 255 0.5× 62 0.6× 164 1.6× 40 0.5× 158 2.4× 44 562
Laura A. Hallock United States 4 329 0.7× 80 0.7× 287 2.9× 9 0.1× 102 1.5× 6 600

Countries citing papers authored by Soo Youn Lee

Since Specialization
Citations

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

Fields of papers citing papers by Soo Youn Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Soo Youn Lee. 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 Soo Youn Lee. The network helps show where Soo Youn Lee may publish in the future.

Co-authorship network of co-authors of Soo Youn Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Soo Youn Lee. A scholar is included among the top collaborators of Soo Youn Lee 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 Soo Youn Lee. Soo Youn Lee 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.
Lee, Soo Youn, Mi‐Hyang Jung, Jong‐Chan Youn, et al.. (2023). Korean Society of Heart Failure Guidelines for the Management of Heart Failure: Management of the Underlying Etiologies and Comorbidities of Heart Failure. Korean Circulation Journal. 53(7). 425–425. 5 indexed citations
2.
Lee, Soo Youn, Mi‐Hyang Jung, Jong‐Chan Youn, et al.. (2023). Korean Society of Heart Failure Guidelines for the Management of Heart Failure: Management of the Underlying Etiologies and Comorbidities of Heart Failure. PubMed. 5(3). 127–127. 8 indexed citations
3.
Kwon, Joon‐myoung, Kyung‐Hee Kim, Yong‐Yeon Jo, et al.. (2022). Artificial intelligence assessment for early detection and prediction of renal impairment using electrocardiography. International Urology and Nephrology. 54(10). 2733–2744. 7 indexed citations
4.
Lee, Sangmin, Yu Rim Lee, Won-Heong Lee, et al.. (2022). Valorization of CO2 to β-farnesene in Rhodobacter sphaeroides. Bioresource Technology. 363. 127955–127955. 11 indexed citations
5.
Jo, Yong‐Yeon, Joon‐myoung Kwon, Ki‐Hyun Jeon, et al.. (2021). Artificial intelligence to diagnose paroxysmal supraventricular tachycardia using electrocardiography during normal sinus rhythm. European Heart Journal - Digital Health. 2(2). 290–298. 9 indexed citations
6.
Kwon, Joon‐myoung, et al.. (2021). Deep-learning model for screening sepsis using electrocardiography. Scandinavian Journal of Trauma Resuscitation and Emergency Medicine. 29(1). 145–145. 16 indexed citations
7.
Kwon, Joon-myoung, Ki‐Hyun Jeon, Jae Hyun Shin, et al.. (2021). Detection and classification of arrhythmia using an explainable deep learning model. Journal of Electrocardiology. 67. 124–132. 33 indexed citations
8.
Cho, Younghoon, Soo Youn Lee, Joon-myoung Kwon, et al.. (2020). Explainable artificial intelligence to detect atrial fibrillation using electrocardiogram. International Journal of Cardiology. 328. 104–110. 76 indexed citations
9.
Kwon, Joon‐myoung, Kyung‐Hee Kim, Ki‐Hyun Jeon, et al.. (2020). Artificial intelligence algorithm for predicting cardiac arrest using electrocardiography. Scandinavian Journal of Trauma Resuscitation and Emergency Medicine. 28(1). 98–98. 49 indexed citations
10.
Cho, Younghoon, Joon‐myoung Kwon, Kyung‐Hee Kim, et al.. (2020). Artificial intelligence algorithm for detecting myocardial infarction using six-lead electrocardiography. Scientific Reports. 10(1). 20495–20495. 83 indexed citations
11.
Lee, Soo Youn, Ki‐Hyun Jeon, Yeha Lee, et al.. (2020). Deep Learning–Based Algorithm for Detecting Aortic Stenosis Using Electrocardiography. Journal of the American Heart Association. 9(7). e014717–e014717. 143 indexed citations
12.
Lee, Soo Youn, Ki‐Hyun Jeon, Hyun‐Jong Lee, et al.. (2019). Complications of veno-arterial extracorporeal membrane oxygenation for refractory cardiogenic shock or cardiac arrest. The International Journal of Artificial Organs. 43(1). 37–44. 11 indexed citations
13.
Shim, Chi Young, Darae Kim, Jah Yeon Choi, et al.. (2019). Prevalence, Characteristics, and Clinical Significance of Concomitant Cardiomyopathies in Subjects with Bicuspid Aortic Valves. Yonsei Medical Journal. 60(9). 816–816. 8 indexed citations
14.
Lee, Soo Youn, Chi Young Shim, Geu‐Ru Hong, et al.. (2018). Adverse effects of left ventricular electrical dyssynchrony on cardiac reverse remodeling and prognosis after aortic valve surgery. Journal of Cardiology. 72(5). 385–392. 2 indexed citations
15.
Lee, Soo Youn, Chi Young Shim, Darae Kim, et al.. (2017). Factors Determining Aortic Valve Dysfunction in Korean Subjects With a Bicuspid Aortic Valve. The American Journal of Cardiology. 119(12). 2049–2055. 10 indexed citations
16.
Lee, Soo Youn, Chi Young Shim, Geu‐Ru Hong, et al.. (2017). Determinants and Prognostic Significance of Symptomatic Status in Patients with Moderately Dysfunctional Bicuspid Aortic Valves. PLoS ONE. 12(1). e0169285–e0169285. 6 indexed citations
17.
Lee, Soo Youn, Eung Ju Kim, Sung Hwan Park, et al.. (2016). Statin Intensity and Clinical Outcome in Patients with Stable Coronary Artery Disease and Very Low LDL-Cholesterol. PLoS ONE. 11(11). e0166246–e0166246. 12 indexed citations
18.
19.
Lee, Soo Youn, Cheol Woong Yu, Young Jin Choi, et al.. (2014). A comparison of clinical features of coronary artery spasm with and without thyrotoxicosis. Coronary Artery Disease. 25(2). 125–132. 11 indexed citations
20.
Lee, Hyun‐Chul, et al.. (2007). Tool life prediction for the bolt forming process based on high-cycle fatigue and wear. Journal of Materials Processing Technology. 201(1-3). 348–353. 19 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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