Jae Woong Choi

726 total citations
63 papers, 468 citations indexed

About

Jae Woong Choi is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Surgery. According to data from OpenAlex, Jae Woong Choi has authored 63 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Cardiology and Cardiovascular Medicine, 32 papers in Epidemiology and 25 papers in Surgery. Recurrent topics in Jae Woong Choi's work include Cardiac Valve Diseases and Treatments (44 papers), Infective Endocarditis Diagnosis and Management (31 papers) and Aortic Disease and Treatment Approaches (17 papers). Jae Woong Choi is often cited by papers focused on Cardiac Valve Diseases and Treatments (44 papers), Infective Endocarditis Diagnosis and Management (31 papers) and Aortic Disease and Treatment Approaches (17 papers). Jae Woong Choi collaborates with scholars based in South Korea, Puerto Rico and Ethiopia. Jae Woong Choi's co-authors include Ho Young Hwang, Youngseob Kim, Kyung Hwan Kim, Ki‐Bong Kim, Suk Ho Sohn, Myoung‐jin Jang, Hyuk Ahn, Cheong Lim, Se Jin Oh and Jaesung Choi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and European Heart Journal.

In The Last Decade

Jae Woong Choi

51 papers receiving 463 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jae Woong Choi South Korea 8 209 179 148 113 88 63 468
Philippe Marty France 14 124 0.6× 336 1.9× 134 0.9× 120 1.1× 60 0.7× 30 609
Dmitry Levin United States 12 223 1.1× 156 0.9× 163 1.1× 142 1.3× 74 0.8× 17 424
Robert Sabiniewicz Poland 9 125 0.6× 156 0.9× 134 0.9× 105 0.9× 150 1.7× 49 391
Kanwal M. Farooqi United States 14 153 0.7× 455 2.5× 390 2.6× 188 1.7× 172 2.0× 42 671
Tinghui Zheng China 15 208 1.0× 254 1.4× 68 0.5× 49 0.4× 317 3.6× 82 694
Daniel Oren United States 9 51 0.2× 99 0.6× 75 0.5× 19 0.2× 8 0.1× 45 271
Jasamine Coles‐Black Australia 11 50 0.2× 232 1.3× 230 1.6× 21 0.2× 91 1.0× 29 385
Takuya Matsumoto Japan 8 43 0.2× 399 2.2× 120 0.8× 100 0.9× 21 0.2× 15 604
Jarosław Meyer-Szary Poland 7 35 0.2× 121 0.7× 119 0.8× 24 0.2× 41 0.5× 32 251
Henry Blair United States 6 264 1.3× 342 1.9× 80 0.5× 50 0.4× 14 0.2× 7 577

Countries citing papers authored by Jae Woong Choi

Since Specialization
Citations

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

Fields of papers citing papers by Jae Woong Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae Woong Choi. 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 Woong Choi. The network helps show where Jae Woong Choi may publish in the future.

Co-authorship network of co-authors of Jae Woong Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Jae Woong Choi. A scholar is included among the top collaborators of Jae Woong Choi 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 Jae Woong Choi. Jae Woong Choi 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.
Sohn, Suk Ho, Jae Woong Choi, Karam Nam, et al.. (2024). Differences in Brain Metabolite Profiles Between Normothermia and Hypothermia. Journal of Korean Medical Science. 39(7). e79–e79. 1 indexed citations
2.
Choi, Jae Woong, et al.. (2024). Outcomes of Leaflet Resection vs Chordal Replacement for Degenerative Mitral Regurgitation. The Annals of Thoracic Surgery. 118(5). 1161–1166.
3.
Sohn, Suk Ho, et al.. (2024). The impact of perivascular tissue preservation on 5-year patency of saphenous vein composite grafts. Interdisciplinary CardioVascular and Thoracic Surgery. 38(5). 1 indexed citations
4.
Hwang, Ho Young, et al.. (2023). Aortic Valve Replacement by Subannular Endomyocardial Implantation of Valve Prosthesis in Behçet’s Disease. Annals of Thoracic and Cardiovascular Surgery. 29(3). 157–161.
5.
Kim, Kyung Hwan, et al.. (2023). Comparable Outcomes of Bicuspid Aortic Valves for Rapid-Deployment Aortic Valve Replacement. SHILAP Revista de lepidopterología. 56(6). 435–444.
6.
Sohn, Suk Ho, et al.. (2023). Long-term clinical outcomes of tricuspid valve replacement using bovine versus porcine valves: a nationwide population-based study. European Journal of Cardio-Thoracic Surgery. 64(1). 3 indexed citations
7.
Je, Hyung Gon, Jae Woong Choi, Ho Young Hwang, et al.. (2023). 2023 KASNet Guidelines on Atrial Fibrillation Surgery. SHILAP Revista de lepidopterología. 57(1). 1–24. 1 indexed citations
8.
Sohn, Suk Ho, et al.. (2023). Machine-learning-based prediction of survival and mitral regurgitation recurrence in patients undergoing mitral valve repair. Interdisciplinary CardioVascular and Thoracic Surgery. 37(5).
9.
Choi, Jae Woong, Joon Bum Kim, Ho Young Hwang, et al.. (2022). Trends in Heart Valve Surgery in Korea: A Report from the Heart Valve Surgery Registry Database. SHILAP Revista de lepidopterología. 55(5). 388–396. 5 indexed citations
11.
Kim, Ho Jin, Joon Bum Kim, Seon‐Ok Kim, et al.. (2021). A Risk Prediction Model for Operative Mortality after Heart Valve Surgery in a Korean Cohort. SHILAP Revista de lepidopterología. 54(2). 88–98. 5 indexed citations
12.
Choi, Jae Woong, Ho Jin Kim, Joon Bum Kim, et al.. (2021). Early and Two-year Outcomes after Sutureless and Conventional Aortic Valve Replacement: a Nationwide Population-based Study. Journal of Korean Medical Science. 36(9). e57–e57. 4 indexed citations
13.
14.
Choi, Jae Woong, Ho Young Hwang, & Ki‐Bong Kim. (2021). The Performance of the Current Risk Prediction Scoring Systems in Patients Undergoing Anaortic Off-pump Coronary Artery Bypass Grafting. Journal of Korean Medical Science. 36(22). e163–e163. 2 indexed citations
15.
Hwang, Ho Young, Suk Ho Sohn, Jae Woong Choi, et al.. (2020). Hemodynamic Performance of Pericardial Bioprostheses in the Aortic Position. The Korean Journal of Thoracic and Cardiovascular Surgery. 53(5). 285–290. 6 indexed citations
16.
Park, Ji Hyeon, Suk Ho Sohn, Jae Woong Choi, Eun‐Ah Park, & Ho Young Hwang. (2020). Safety and Efficacy of Left Atrial Appendage Excision Using a Vascular Stapler. The Korean Journal of Thoracic and Cardiovascular Surgery. 53(3). 127–131. 2 indexed citations
17.
Moon, Inki, Minkwan Kim, Jae Woong Choi, et al.. (2020). Early Surgery versus Watchful Waiting in Patients with Moderate Aortic Stenosis and Left Ventricular Systolic Dysfunction. Korean Circulation Journal. 50(9). 791–791. 15 indexed citations
18.
Choi, Jae Woong, et al.. (2020). Optimal Tricuspid Annular Size for Tricuspid Annuloplasty in Patients with Less-Than-Moderate Functional Tricuspid Regurgitation. The Korean Journal of Thoracic and Cardiovascular Surgery. 53(6). 325–331. 1 indexed citations
19.
Ahn, Hyuk, et al.. (2019). Long-Term Results of the Leaflet Extension Technique for Rheumatic Aortic Regurgitation: A 20-Year Follow-up. The Korean Journal of Thoracic and Cardiovascular Surgery. 52(1). 9–15. 4 indexed citations
20.
Choi, Jae Woong, et al.. (2001). Successful management of pheochromocytoma in early pregnancy.. Journal of Korean Endocrine Society. 6(2). 179–186.

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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