Jun Hwan Cho

493 total citations
25 papers, 329 citations indexed

About

Jun Hwan Cho is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jun Hwan Cho has authored 25 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cardiology and Cardiovascular Medicine, 10 papers in Surgery and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jun Hwan Cho's work include Cardiac Imaging and Diagnostics (5 papers), Lipoproteins and Cardiovascular Health (4 papers) and Coronary Interventions and Diagnostics (4 papers). Jun Hwan Cho is often cited by papers focused on Cardiac Imaging and Diagnostics (5 papers), Lipoproteins and Cardiovascular Health (4 papers) and Coronary Interventions and Diagnostics (4 papers). Jun Hwan Cho collaborates with scholars based in South Korea, United States and Puerto Rico. Jun Hwan Cho's co-authors include Hae‐Young Lee, Chang‐Hwan Yoon, Si‐Hyuck Kang, Tae‐Jin Youn, Hyun‐Jai Cho, Byung‐Hee Oh, Kyung‐Kuk Hwang, Sang Hong Baek, Seok‐Min Kang and Kye Hun Kim and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Jun Hwan Cho

20 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Hwan Cho South Korea 9 185 45 43 43 42 25 329
Joyce Njoroge United States 9 320 1.7× 28 0.6× 47 1.1× 35 0.8× 40 1.0× 18 450
M Cespon Fernandez Spain 8 150 0.8× 34 0.8× 45 1.0× 18 0.4× 22 0.5× 22 262
Cristina Barreiro Pardal Spain 7 160 0.9× 56 1.2× 53 1.2× 20 0.5× 22 0.5× 16 291
Annagrazia Cecere Italy 11 219 1.2× 30 0.7× 74 1.7× 37 0.9× 17 0.4× 50 360
Ying‐Chang Tung Taiwan 13 200 1.1× 71 1.6× 100 2.3× 46 1.1× 61 1.5× 55 483
Congcong Ding China 9 119 0.6× 62 1.4× 67 1.6× 44 1.0× 27 0.6× 28 300
Ilaria Dentamaro Italy 10 186 1.0× 48 1.1× 41 1.0× 37 0.9× 112 2.7× 39 395
Wolney de Andrade Martins Brazil 10 141 0.8× 27 0.6× 21 0.5× 32 0.7× 45 1.1× 51 334
Leon Hsueh United States 5 134 0.7× 47 1.0× 59 1.4× 22 0.5× 43 1.0× 9 294
Alexandr Ceasovschih Romania 12 87 0.5× 59 1.3× 58 1.3× 10 0.2× 47 1.1× 56 337

Countries citing papers authored by Jun Hwan Cho

Since Specialization
Citations

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

Fields of papers citing papers by Jun Hwan Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Hwan Cho. 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 Jun Hwan Cho. The network helps show where Jun Hwan Cho may publish in the future.

Co-authorship network of co-authors of Jun Hwan Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Hwan Cho. A scholar is included among the top collaborators of Jun Hwan Cho 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 Jun Hwan Cho. Jun Hwan Cho 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.
2.
Son, Youn‐Jung, JiYeon Choi, Hyue Mee Kim, et al.. (2025). Development and Evaluation of a Patient–Family Caregiver Dyad mHealth Intervention for Heart Failure Self-Care: Quasi-Experimental Study. Journal of Medical Internet Research. 27. e74922–e74922. 1 indexed citations
3.
Won, Ki‐Bum, Jun Hwan Cho, Sang Yup Lee, et al.. (2024). Different association of atherogenic index of plasma with the risk of high platelet reactivity according to the presentation of acute myocardial infarction. Scientific Reports. 14(1). 10894–10894. 4 indexed citations
4.
Kim, Hyue Mee, et al.. (2024). Pregnancy related complications in women with hypertrophic cardiomyopathy: a nationwide population-based cohort study. BMC Cardiovascular Disorders. 24(1). 268–268. 1 indexed citations
5.
Kim, Hyeonmin, June‐Goo Lee, Geunyoung Lee, et al.. (2024). Deep learning model for intravascular ultrasound image segmentation with temporal consistency. The International Journal of Cardiovascular Imaging. 40(11). 2283–2292. 4 indexed citations
6.
Shin, Seung Yong, et al.. (2024). Machine Learning Model Using Heart Rate Variability for the Prediction of Vasovagal Syncope. IEEE Access. 12. 151153–151160.
7.
Cho, Jun Hwan, Hyue Mee Kim, Sang Yeub Lee, et al.. (2024). Temporal trends in adherence to lifestyle recommendations of patients with hypertension in Korea, 2007–2021. Hypertension Research. 48(1). 157–167.
8.
9.
Cho, Jun Hwan, Eue‐Keun Choi, Inki Moon, et al.. (2020). Chromosomal abnormalities and atrial fibrillation and ischemic stroke incidence: a nationwide population-based study. Scientific Reports. 10(1). 15872–15872. 11 indexed citations
10.
Lim, Cheong, Jin-Haeng Chung, Young‐Seok Cho, et al.. (2019). Association of Plasma Marker of Oxidized Lipid with Histologic Plaque Instability in Patients with Peripheral Artery Disease. Annals of Vascular Surgery. 66. 554–565.
11.
Cho, Jun Hwan, Jung‐Kyu Han, Han‐Mo Yang, Bon‐Kwon Koo, & Hyo‐Soo Kim. (2019). Acute ST-elevation myocardial infarction due to prosthetic valve endocarditis after transcatheter aortic valve implantation. The Korean Journal of Internal Medicine. 35(4). 1020–1021. 1 indexed citations
12.
Kang, Si‐Hyuck, Sun–Hwa Kim, Jun Hwan Cho, et al.. (2019). Prevalence, Awareness, Treatment, and Control of Hypertension in Korea. Scientific Reports. 9(1). 10970–10970. 54 indexed citations
13.
Moon, Inki, Eue‐Keun Choi, Jin‐Hyung Jung, et al.. (2018). Ankylosing spondylitis: A novel risk factor for atrial fibrillation — A nationwide population-based study. International Journal of Cardiology. 275. 77–82. 30 indexed citations
14.
Lee, Ji Hyun, Sun-Hwa Kim, Si‐Hyuck Kang, et al.. (2018). Blood Pressure Control and Cardiovascular Outcomes: Real-world Implications of the 2017 ACC/AHA Hypertension Guideline. Scientific Reports. 8(1). 13155–13155. 41 indexed citations
15.
Cho, Jun Hwan, Won-Seok Choe, Hyun‐Jai Cho, et al.. (2018). Comparison of Characteristics and 3-Year Outcomes in Patients With Acute Heart Failure With Preserved, Mid-Range, and Reduced Ejection Fraction. Circulation Journal. 83(2). 347–356. 36 indexed citations
16.
Senguttuvan, Nagendra Boopathy, Sharath Kumar, Wang Soo Lee, et al.. (2016). Plaque Vulnerability as Assessed by Radiofrequency Intravascular Ultrasound in Patients with Valvular Calcification. PLoS ONE. 11(11). e0165885–e0165885. 1 indexed citations
17.
Kim, Sang‐Wook, Gary S. Mintz, Wang Soo Lee, et al.. (2014). DICOM-based intravascular ultrasound signal intensity analysis. Coronary Artery Disease. 25(3). 236–241. 15 indexed citations
18.
Cho, Jun Hwan, Young Hwan Choi, Eun Young Kim, et al.. (2013). Effect of Fenofibrate Therapy on Blood Creatinine Levels in Patients with Hypertension and Hypertriglyceridemia. Journal of Lipid and Atherosclerosis. 2(1). 19–19. 3 indexed citations
19.
Choi, Young Hwan, Jun Hwan Cho, Eun Young Kim, et al.. (2012). Fenofibrate Reduces C-Reactive Protein Levels in Hypertriglyceridemic Patients With High Risks for Cardiovascular Diseases. Korean Circulation Journal. 42(11). 741–741. 8 indexed citations
20.
Cho, Jun Hwan, Wang Soo Lee, Kwang Je Lee, et al.. (2012). Effect of Statins on C-reactive Protein, Lipoprotein(a) and Fibrinogen in Hypercholesterolemic Patients. Journal of Lipid and Atherosclerosis. 1(1). 21–21. 2 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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