Sung Il Im

1.0k total citations
86 papers, 583 citations indexed

About

Sung Il Im is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sung Il Im has authored 86 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Cardiology and Cardiovascular Medicine, 21 papers in Surgery and 14 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Sung Il Im's work include Cardiac Arrhythmias and Treatments (31 papers), Cardiac electrophysiology and arrhythmias (23 papers) and Atrial Fibrillation Management and Outcomes (22 papers). Sung Il Im is often cited by papers focused on Cardiac Arrhythmias and Treatments (31 papers), Cardiac electrophysiology and arrhythmias (23 papers) and Atrial Fibrillation Management and Outcomes (22 papers). Sung Il Im collaborates with scholars based in South Korea, United States and Japan. Sung Il Im's co-authors include June Soo Kim, Young Keun On, Hong Euy Lim, Bong‐Joon Kim, Edward P. Gerstenfeld, Molly Speltz, Jung Ho Heo, Eric Buck, Satoshi Higuchi and Carol Stillson 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

Sung Il Im

72 papers receiving 568 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sung Il Im South Korea 14 413 95 68 63 60 86 583
Л. Б. Митрофанова Russia 12 756 1.8× 69 0.7× 94 1.4× 90 1.4× 73 1.2× 117 972
Yaron Fridman United States 10 347 0.8× 68 0.7× 206 3.0× 170 2.7× 50 0.8× 12 591
Kiyoshi Doyama Japan 12 448 1.1× 69 0.7× 166 2.4× 45 0.7× 83 1.4× 17 601
A Popescu Romania 8 90 0.2× 74 0.8× 74 1.1× 75 1.2× 35 0.6× 20 345
Maria Luisa De Rimini Italy 11 178 0.4× 53 0.6× 134 2.0× 102 1.6× 66 1.1× 28 433
Lianglong Chen China 14 319 0.8× 445 4.7× 46 0.7× 288 4.6× 139 2.3× 80 669
Dougal R. McClean New Zealand 11 263 0.6× 166 1.7× 38 0.6× 62 1.0× 100 1.7× 15 427
Hannu Romppanen Finland 11 333 0.8× 269 2.8× 158 2.3× 100 1.6× 105 1.8× 24 546
Carla Contaldi Italy 11 419 1.0× 87 0.9× 181 2.7× 131 2.1× 51 0.8× 31 605

Countries citing papers authored by Sung Il Im

Since Specialization
Citations

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

Fields of papers citing papers by Sung Il Im

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung Il Im. 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 Sung Il Im. The network helps show where Sung Il Im may publish in the future.

Co-authorship network of co-authors of Sung Il Im

This figure shows the co-authorship network connecting the top 25 collaborators of Sung Il Im. A scholar is included among the top collaborators of Sung Il Im 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 Sung Il Im. Sung Il Im 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, Jino, et al.. (2026). Risk factors of failed electrical cardioversion in patients with persistent or long-standing persistent atrial fibrillation. Acta cardiologica. Supplementum. 81(2). 190–197. 1 indexed citations
2.
Kim, Bong‐Joon, et al.. (2025). Early effects of PCSK9 inhibitors: evolocumab versus alirocumab. Kosin Medical Journal. 40(1). 49–54.
3.
4.
Im, Sung Il, Bong‐Joon Kim, Jung Ho Heo, et al.. (2024). Hemodialysis Efficiency Predictor in End-Stage Kidney Disease Using Real-Time Heart Rate Variability. Biomedicines. 12(3). 474–474.
5.
Han, Ju, et al.. (2024). Predicting Dysglycemia in Patients with Diabetes Using Electrocardiogram. Diagnostics. 14(22). 2489–2489.
6.
Higuchi, Satoshi, Ramkumar Venkateswaran, Sung Il Im, et al.. (2024). Shorter Premature Atrial Complex Coupling Interval Leads to Mechanical Dysfunction, Fibrosis, and AF in Swine. JACC. Clinical electrophysiology. 11(1). 30–42.
7.
Im, Sung Il, Bong‐Joon Kim, Jung Ho Heo, et al.. (2023). Real-time heart rate variability according to ambulatory glucose profile in patients with diabetes mellitus. Frontiers in Cardiovascular Medicine. 10. 1249709–1249709. 4 indexed citations
8.
Im, Sung Il, et al.. (2023). Remote health monitoring services in nursing homes. SHILAP Revista de lepidopterología. 38(1). 21–27.
9.
Higuchi, Satoshi, Aleksandr Voskoboinik, Sung Il Im, et al.. (2023). Frequent Premature Atrial Contractions Lead to Adverse Atrial Remodeling and Atrial Fibrillation in a Swine Model. Circulation. 149(6). 463–474. 3 indexed citations
10.
Kim, Bong‐Joon, et al.. (2023). Pulmonary Hypertension With Unilateral Pulmonary Vein Atresia. PubMed. 5(2). 102–102.
11.
Im, Sung Il, Satoshi Higuchi, Adam Lee, et al.. (2022). Pulsed Field Ablation of Left Ventricular Myocardium in a Swine Infarct Model. JACC. Clinical electrophysiology. 8(6). 722–731. 61 indexed citations
12.
Voskoboinik, Aleksandr, Sung Il Im, Joshua D. Moss, et al.. (2020). Predictors of adverse outcome in patients with frequent premature ventricular complexes: The ABC-VT risk score. Heart Rhythm. 17(7). 1066–1074. 33 indexed citations
13.
Henry, J.L., Sung Il Im, Tony Li, et al.. (2019). General Electrophysiology. Journal of Arrhythmia. 35(S1). 4–75.
14.
Lee, Sung Ho, Tae‐Hoon Kim, Yong‐Seog Oh, et al.. (2019). Usefulness of an Implantable Loop Recorder in Diagnosing Unexplained Syncope and Predictors for Pacemaker Implantation. Journal of Korean Medical Science. 35(2). e11–e11. 13 indexed citations
15.
Park, Kyoung‐Min, Sung Il Im, Seung‐Jung Park, June Soo Kim, & Young Keun On. (2017). Risk factor algorithm used to predict frequent premature ventricular contraction-induced cardiomyopathy. International Journal of Cardiology. 233. 37–42. 14 indexed citations
16.
Park, Kyoung‐Min, Sung Il Im, Eun Kyoung Kim, et al.. (2016). Atrial Fibrillation in Hypertrophic Cardiomyopathy: Is the Extent of Septal Hypertrophy Important?. PLoS ONE. 11(6). e0156410–e0156410. 11 indexed citations
17.
Kang, Dong Oh, Hong Seog Seo, Eun‐Mi Lee, et al.. (2014). Absolute change in fasting plasma glucose over 12months is associated with 2-year and 5-year major adverse cardiovascular events in patients with drug-eluting stent implants. International Journal of Cardiology. 179. 146–152. 6 indexed citations
18.
Im, Sung Il, Byoung Geol Choi, Yoonjee Park, et al.. (2013). TCT-310 Impact of Ischemic EKG Changes during the Acetylcholine Provocation Test on 12-month Clinical Outcomes in Patients with Vasospastic Angina. Journal of the American College of Cardiology. 62(18). B99–B100. 1 indexed citations
19.
Rha, Seung‐Woon, Ji Young Park, Sung Kee Ryu, et al.. (2012). TCT-437 The Impact of Gender difference on Angiographic Characteristics During intracoronary acetylcholine provocation test in Korean patients. Journal of the American College of Cardiology. 60(17). B124–B124. 2 indexed citations
20.
Lee, Sun, et al.. (2007). Diagnostic Value of Urine Cytology in 236 cases; a Comparison of Liquid-Based Preparation and Conventional Cytospin Method. 18(2). 119–125. 5 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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