Hee-Yeol Kim

2.1k total citations
80 papers, 1.0k citations indexed

About

Hee-Yeol Kim is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hee-Yeol Kim has authored 80 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Cardiology and Cardiovascular Medicine, 34 papers in Surgery and 21 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hee-Yeol Kim's work include Coronary Interventions and Diagnostics (25 papers), Acute Myocardial Infarction Research (24 papers) and Cardiac Imaging and Diagnostics (21 papers). Hee-Yeol Kim is often cited by papers focused on Coronary Interventions and Diagnostics (25 papers), Acute Myocardial Infarction Research (24 papers) and Cardiac Imaging and Diagnostics (21 papers). Hee-Yeol Kim collaborates with scholars based in South Korea, United States and South Africa. Hee-Yeol Kim's co-authors include Ki‐Bae Seung, Kiyuk Chang, Sang‐Hyun Ihm, Dong‐Bin Kim, Ki‐Dong Yoo, Ho‐Joong Youn, Sung‐Ho Her, Jong Min Lee, Doo Soo Jeon and Myung Ho Jeong and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Scientific Reports.

In The Last Decade

Hee-Yeol Kim

75 papers receiving 1000 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hee-Yeol Kim South Korea 16 638 498 379 157 106 80 1.0k
Sung‐Ho Her South Korea 19 759 1.2× 564 1.1× 404 1.1× 133 0.8× 133 1.3× 122 1.2k
Mamoru Toyofuku Japan 17 674 1.1× 411 0.8× 242 0.6× 197 1.3× 64 0.6× 54 979
Giuseppe Di Gioia Italy 19 701 1.1× 573 1.2× 564 1.5× 131 0.8× 100 0.9× 66 1.2k
Claude Le Feuvre France 18 619 1.0× 481 1.0× 309 0.8× 162 1.0× 62 0.6× 85 1.1k
Wen‐Chol Voon Taiwan 20 950 1.5× 369 0.7× 265 0.7× 166 1.1× 114 1.1× 147 1.3k
Takumi Higuma Japan 18 697 1.1× 538 1.1× 388 1.0× 152 1.0× 43 0.4× 81 1.1k
Po‐Chao Hsu Taiwan 19 903 1.4× 315 0.6× 217 0.6× 150 1.0× 87 0.8× 119 1.2k
Bülent Özin Türkiye 19 838 1.3× 281 0.6× 189 0.5× 121 0.8× 80 0.8× 101 1.2k
Si Wan Choi South Korea 18 1.0k 1.6× 699 1.4× 252 0.7× 234 1.5× 79 0.7× 92 1.4k
Hirohiko Ando Japan 17 542 0.8× 547 1.1× 434 1.1× 169 1.1× 57 0.5× 83 883

Countries citing papers authored by Hee-Yeol Kim

Since Specialization
Citations

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

Fields of papers citing papers by Hee-Yeol Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hee-Yeol Kim. 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 Hee-Yeol Kim. The network helps show where Hee-Yeol Kim may publish in the future.

Co-authorship network of co-authors of Hee-Yeol Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Hee-Yeol Kim. A scholar is included among the top collaborators of Hee-Yeol Kim 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 Hee-Yeol Kim. Hee-Yeol Kim 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, Kyusup, Jinseob Kim, Sungmin Lim, et al.. (2022). Clinical impact of statin intensity according to age in patients with acute myocardial infarction. PLoS ONE. 17(6). e0269301–e0269301. 1 indexed citations
2.
Lim, Sungmin, Eun Ho Choo, Ik Jun Choi, et al.. (2022). Impact of the risk of malnutrition on bleeding, mortality, and ischemic events in patients with acute myocardial infarction. Nutrition Metabolism and Cardiovascular Diseases. 33(1). 65–74. 5 indexed citations
3.
Lee, Su Nam, Ik Jun Choi, Sungmin Lim, et al.. (2021). Effects of Smoking on Long-Term Clinical Outcomes and Lung Cancer in Patients with Acute Myocardial Infarction. Korean Circulation Journal. 51(4). 336–336. 3 indexed citations
4.
Kim, Yongcheol, Masahiro Takahata, Yasutsugu Shiono, et al.. (2021). Optimal hemostasis duration for percutaneous coronary intervention via the snuffbox approach: A prospective, multi-center, observational study (HEMOBOX). International Journal of Cardiology. 338. 79–82. 11 indexed citations
5.
Hong, Sung‐Jin, Byeong‐Keuk Kim, Iksung Cho, et al.. (2021). Effect of Coronary CTA on Chronic Total Occlusion Percutaneous Coronary Intervention. JACC. Cardiovascular imaging. 14(10). 1993–2004. 43 indexed citations
6.
Choi, Ik Jun, Eun Ho Choo, Hwa Jung Kim, et al.. (2021). J-curve relationship between long term glycemic control and mortality in diabetic patients with acute myocardial infarction undergoing percutaneous coronary intervention. Cardiovascular Diabetology. 20(1). 234–234. 6 indexed citations
8.
Ahn, Hyo–Suk, Ho Chul Song, Euy Jin Choi, et al.. (2017). The impact of preload on 3-dimensional deformation parameters: principal strain, twist and torsion. Cardiovascular Ultrasound. 15(1). 22–22. 11 indexed citations
9.
Park, Hoon Suk, Chan Joon Kim, Byung‐Hee Hwang, et al.. (2016). HDL Cholesterol Level Is Associated with Contrast Induced Acute Kidney Injury in Chronic Kidney Disease Patients Undergoing PCI. Scientific Reports. 6(1). 35774–35774. 15 indexed citations
10.
Lim, Sungmin, Yoon‐Seok Koh, Pum-Joon Kim, et al.. (2016). Incidence, Implications, and Predictors of Stent Thrombosis in Acute Myocardial Infarction. The American Journal of Cardiology. 117(10). 1562–1568. 25 indexed citations
12.
Hwang, Byung‐Hee, Sungmin Lim, Eun Ho Choo, et al.. (2015). TCT-243 Long-term residual risk according to optimal medical treatment in acute myocardial infarction treated with percutaneous coronary. Journal of the American College of Cardiology. 66(15). B95–B95. 1 indexed citations
13.
Lee, Su-Hyun, Dong‐Bin Kim, Hun‐Jun Park, et al.. (2014). Left ventricular diastolic dyssynchrony in patients with treatment-naive hypertension and the effects of antihypertensive therapy. Journal of Hypertension. 33(2). 354–365. 13 indexed citations
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16.
Park, Keun Ho, Myung Ho Jeong, Youngkeun Ahn, et al.. (2013). The Impact of Vascular Access for In-Hospital Major Bleeding in Patients with Acute Coronary Syndrome at Moderate- to Very High-Bleeding Risk. Journal of Korean Medical Science. 28(9). 1307–1307. 6 indexed citations
17.
Park, Mahn‐Won, Sung‐Ho Her, Ho-Sook Kim, et al.. (2013). Impact of the CYP2C19*17 polymorphism on the clinical outcome of clopidogrel therapy in Asian patients undergoing percutaneous coronary intervention. Pharmacogenetics and Genomics. 23(10). 558–562. 13 indexed citations
19.
Park, Hun‐Jun, Suk Min Seo, Hee-Yeol Kim, et al.. (2010). Soluble receptor for advanced glycation end products is associated with in-stent restenosis in patients with type 2 diabetes with drug-eluting coronary stents. Coronary Artery Disease. 22(1). 12–17. 9 indexed citations
20.
Cho, Eun Ju, Hee-Yeol Kim, Chong Jin Kim, et al.. (2000). Recurrent Asystoles Associated with Vasovagal Reaction during Venipuncture. The Korean Journal of Internal Medicine. 15(3). 232–235. 3 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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