Jae‐Ki Ko

805 total citations
8 papers, 457 citations indexed

About

Jae‐Ki Ko is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jae‐Ki Ko has authored 8 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 6 papers in Cardiology and Cardiovascular Medicine and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jae‐Ki Ko's work include Coronary Interventions and Diagnostics (7 papers), Cardiac Imaging and Diagnostics (4 papers) and Cardiac Valve Diseases and Treatments (3 papers). Jae‐Ki Ko is often cited by papers focused on Coronary Interventions and Diagnostics (7 papers), Cardiac Imaging and Diagnostics (4 papers) and Cardiac Valve Diseases and Treatments (3 papers). Jae‐Ki Ko collaborates with scholars based in South Korea and United States. Jae‐Ki Ko's co-authors include Seung‐Whan Lee, In Whan Seong, Jae‐Hwan Lee, Jae‐Hyeong Park, Si Wan Choi, Hyun‐Sook Kim, Kook-Jin Chun, Cheol Whan Lee, Myeong‐Ki Hong and Seong‐Wook Park and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and The American Journal of Cardiology.

In The Last Decade

Jae‐Ki Ko

8 papers receiving 445 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‐Ki Ko South Korea 8 334 333 87 77 32 8 457
Dhavalkumar Patel United States 14 126 0.4× 189 0.6× 38 0.4× 105 1.4× 29 0.9× 22 389
Yoshinori Yasaka Japan 11 212 0.6× 301 0.9× 146 1.7× 39 0.5× 10 0.3× 35 450
Femi Philip United States 10 156 0.5× 330 1.0× 55 0.6× 127 1.6× 9 0.3× 34 420
RJ Gibbons 2 105 0.3× 226 0.7× 192 2.2× 26 0.3× 10 0.3× 4 346
Roberto Mattioli Italy 11 157 0.5× 459 1.4× 255 2.9× 80 1.0× 17 0.5× 20 570
Dean A. Bramlet United States 10 180 0.5× 511 1.5× 205 2.4× 52 0.7× 4 0.1× 15 658
Claudia Zemmrich Germany 9 73 0.2× 110 0.3× 58 0.7× 30 0.4× 34 1.1× 21 303
William G. O’Callaghan United States 11 224 0.7× 442 1.3× 123 1.4× 28 0.4× 21 0.7× 16 506
F.W.A. Verheugt Netherlands 7 102 0.3× 279 0.8× 84 1.0× 11 0.1× 37 1.2× 28 348
Hans Kragten Netherlands 7 98 0.3× 180 0.5× 69 0.8× 18 0.2× 7 0.2× 11 307

Countries citing papers authored by Jae‐Ki Ko

Since Specialization
Citations

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

Fields of papers citing papers by Jae‐Ki Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae‐Ki Ko. 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‐Ki Ko. The network helps show where Jae‐Ki Ko may publish in the future.

Co-authorship network of co-authors of Jae‐Ki Ko

This figure shows the co-authorship network connecting the top 25 collaborators of Jae‐Ki Ko. A scholar is included among the top collaborators of Jae‐Ki Ko 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‐Ki Ko. Jae‐Ki Ko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Lee, Sang Rok, Sun Hwa Lee, Jei Keon Chae, et al.. (2016). Rosuvastatin Reduces Blood Viscosity in Patients with Acute Coronary Syndrome. Korean Circulation Journal. 46(2). 147–147. 11 indexed citations
2.
Jung, Su‐Jin, Soo‐Hyun Park, Youn-Soo Cha, et al.. (2014). Beneficial Effects of Korean Traditional Diets in Hypertensive and Type 2 Diabetic Patients. Journal of Medicinal Food. 17(1). 161–171. 55 indexed citations
3.
Lee, Jae‐Hwan, Hyun Sook Kim, Seung‐Whan Lee, et al.. (2008). Prospective randomized comparison of sirolimus‐ versus paclitaxel‐eluting stents for the treatment of acute ST‐elevation myocardial infarction. Catheterization and Cardiovascular Interventions. 72(1). 25–32. 29 indexed citations
4.
Lee, Seung‐Whan, Seong‐Wook Park, Young‐Hak Kim, et al.. (2008). Drug-Eluting Stenting Followed by Cilostazol Treatment Reduces Late Restenosis in Patients With Diabetes Mellitus. Journal of the American College of Cardiology. 51(12). 1181–1187. 150 indexed citations
5.
Kim, Hyun‐Sook, Young‐Hak Kim, Seung‐Whan Lee, et al.. (2008). Incidence and predictors of drug-eluting stent fractures in long coronary disease. International Journal of Cardiology. 133(3). 354–358. 32 indexed citations
6.
Lee, Seung‐Whan, Seong‐Wook Park, Young‐Hak Kim, et al.. (2007). Comparison of Triple Versus Dual Antiplatelet Therapy After Drug-Eluting Stent Implantation (from the DECLARE–Long Trial). The American Journal of Cardiology. 100(7). 1103–1108. 87 indexed citations
7.
Kim, Young‐Hak, Seong‐Wook Park, Seung‐Whan Lee, et al.. (2006). Sirolimus-Eluting Stent Versus Paclitaxel-Eluting Stent for Patients With Long Coronary Artery Disease. Circulation. 114(20). 2148–2153. 83 indexed citations
8.
Ko, Jae‐Ki, et al.. (1991). Predictors of early mortality in patients with angiographically documented left main coronary artery disease. Catheterization and Cardiovascular Diagnosis. 24(2). 84–87. 10 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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