Jae‐Kwan Song
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- Cardiac Valve Diseases and Treatments 105
- Cardiovascular Function and Risk Factors 67
- Cardiac Arrhythmias and Treatments 19
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- Cardiac Imaging and Diagnostics 78
- Surgery top 0.5%
- Coronary Interventions and Diagnostics 41
- Cardiac Structural Anomalies and Repair 33
- Pulmonary and Respiratory Medicine top 0.5%
- Aortic Disease and Treatment Approaches 31
- Epidemiology top 1%
- Infective Endocarditis Diagnosis and Management 36
- Co-authors
- Jong‐Min SongDuk‐Hyun KangDae‐Hee KimMyeong‐Ki HongJae‐Joong KimCheol Whan LeeSeung‐Jung ParkDuk–Hyun Kang
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Jae‐Kwan Song
210 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Cardiology and Cardiovascular Medicine 5.6k
- Radiology, Nuclear Medicine and Imaging 1.9k
- Surgery 3.4k
- Pulmonary and Respiratory Medicine 2.3k
- Epidemiology 2.3k
Countries citing papers authored by Jae‐Kwan Song
This map shows the geographic impact of Jae‐Kwan Song'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 Jae‐Kwan Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jae‐Kwan Song more than expected).
Fields of papers citing papers by Jae‐Kwan Song
This network shows the impact of papers produced by Jae‐Kwan Song. 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 Jae‐Kwan Song. The network helps show where Jae‐Kwan Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jae‐Kwan Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 7 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 2 | |
| 7 | 2021 | 6 | |
| 8 | 2021 | 6 | |
| 9 | 2020 | 17 | |
| 10 | 2020 | 20 | |
| 11 | 2019 | 24 | |
| 12 | 2019 | 6 | |
| 13 | 2019 | 1 | |
| 14 | Early Surgery or Conservative Care for Asymptomatic Aortic Stenosisbreakdown → | 2019 | 265 |
| 15 | 2018 | 1 | |
| 16 | 2010 | 188 | |
| 17 | Clinical, pathological, and genetic analysis of a Korean family with thoracic aortic aneurysms and dissections carrying a novel Asp26Tyr mutation. | 2010 | 12 |
| 18 | 2009 | 200 | |
| 19 | 2003 | 5 | |
| 20 | 1998 | 0 |
About Jae‐Kwan Song
Jae‐Kwan Song is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 229 papers that have together received 7.7k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (105 papers), Cardiac Imaging and Diagnostics (78 papers), Cardiovascular Function and Risk Factors (67 papers), Coronary Interventions and Diagnostics (41 papers), Infective Endocarditis Diagnosis and Management (36 papers), Cardiac Structural Anomalies and Repair (33 papers), Aortic Disease and Treatment Approaches (31 papers) and Cardiac Arrhythmias and Treatments (19 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (5.6k citations), Radiology, Nuclear Medicine and Imaging (1.9k citations) and Surgery (3.4k citations). Jae‐Kwan Song has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Jong‐Min Song, Duk‐Hyun Kang, Dae‐Hee Kim, Myeong‐Ki Hong, Jae‐Joong Kim, Cheol Whan Lee, Seung‐Jung Park, Duk–Hyun Kang, Seong‐Wook Park and Jae‐Won Lee.
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.