Jinsik Park

2.5k total citations
39 papers, 1.6k citations indexed

About

Jinsik Park is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Emergency Medicine. According to data from OpenAlex, Jinsik Park has authored 39 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cardiology and Cardiovascular Medicine, 9 papers in Surgery and 8 papers in Emergency Medicine. Recurrent topics in Jinsik Park's work include ECG Monitoring and Analysis (11 papers), Atrial Fibrillation Management and Outcomes (5 papers) and Cardiac Arrest and Resuscitation (5 papers). Jinsik Park is often cited by papers focused on ECG Monitoring and Analysis (11 papers), Atrial Fibrillation Management and Outcomes (5 papers) and Cardiac Arrest and Resuscitation (5 papers). Jinsik Park collaborates with scholars based in South Korea, United States and Japan. Jinsik Park's co-authors include Ki‐Hyun Jeon, Kyung‐Hee Kim, Joon‐myoung Kwon, Byung‐Hee Oh, Yeha Lee, Soo Youn Lee, Seung‐Woo Lee, Joon-myoung Kwon, Hyunho Park and Rak Kyeong Choi and has published in prestigious journals such as Annals of Internal Medicine, PLoS ONE and Scientific Reports.

In The Last Decade

Jinsik Park

39 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinsik Park South Korea 22 917 289 287 270 264 39 1.6k
Joon‐myoung Kwon South Korea 18 609 0.7× 245 0.8× 285 1.0× 188 0.7× 242 0.9× 46 1.2k
Ki‐Hyun Jeon South Korea 29 1.4k 1.5× 213 0.7× 188 0.7× 498 1.8× 185 0.7× 79 2.1k
Yeha Lee South Korea 14 299 0.3× 253 0.9× 180 0.6× 150 0.6× 190 0.7× 40 868
Rishikesan Kamaleswaran United States 16 238 0.3× 286 1.0× 48 0.2× 110 0.4× 393 1.5× 117 1.1k
Supreeth P. Shashikumar United States 16 256 0.3× 578 2.0× 53 0.2× 95 0.4× 534 2.0× 40 1.2k
Andre L. Holder United States 15 164 0.2× 480 1.7× 160 0.6× 147 0.5× 678 2.6× 39 1.4k
Dorothy J. Ladewig United States 12 1.1k 1.2× 114 0.4× 22 0.1× 206 0.8× 59 0.2× 33 1.4k
Zhi Xiong Koh Singapore 16 298 0.3× 161 0.6× 257 0.9× 85 0.3× 162 0.6× 37 754
João Bernardes Portugal 29 926 1.0× 228 0.8× 232 0.8× 52 0.2× 203 0.8× 122 2.7k
Jessica Torres Soto United States 5 369 0.4× 176 0.6× 23 0.1× 233 0.9× 80 0.3× 7 843

Countries citing papers authored by Jinsik Park

Since Specialization
Citations

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

Fields of papers citing papers by Jinsik Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jinsik Park. 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 Jinsik Park. The network helps show where Jinsik Park may publish in the future.

Co-authorship network of co-authors of Jinsik Park

This figure shows the co-authorship network connecting the top 25 collaborators of Jinsik Park. A scholar is included among the top collaborators of Jinsik Park 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 Jinsik Park. Jinsik Park 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
2.
Lee, Hyun‐Jong, Juneyoung Lee, Mi‐Young Oh, et al.. (2023). Decompression Illness in Divers With or Without Patent Foramen Ovale. Annals of Internal Medicine. 176(7). 934–939. 3 indexed citations
3.
Kwon, Joon‐myoung, Kyung‐Hee Kim, Yong‐Yeon Jo, et al.. (2022). Artificial intelligence assessment for early detection and prediction of renal impairment using electrocardiography. International Urology and Nephrology. 54(10). 2733–2744. 7 indexed citations
4.
Jo, Yong‐Yeon, Joon‐myoung Kwon, Ki‐Hyun Jeon, et al.. (2021). Artificial intelligence to diagnose paroxysmal supraventricular tachycardia using electrocardiography during normal sinus rhythm. European Heart Journal - Digital Health. 2(2). 290–298. 9 indexed citations
5.
Lee, Yeon Joo, Hwa Jin Cho, Oyeon Kwon, et al.. (2021). A multicentre validation study of the deep learning-based early warning score for predicting in-hospital cardiac arrest in patients admitted to general wards. Resuscitation. 163. 78–85. 32 indexed citations
6.
Kwon, Joon‐myoung, Yeha Lee, Hyunho Park, et al.. (2020). Artificial Intelligence Algorithm for Screening Heart Failure with Reduced Ejection Fraction Using Electrocardiography. ASAIO Journal. 67(3). 314–321. 57 indexed citations
7.
Cho, Younghoon, Soo Youn Lee, Joon-myoung Kwon, et al.. (2020). Explainable artificial intelligence to detect atrial fibrillation using electrocardiogram. International Journal of Cardiology. 328. 104–110. 76 indexed citations
8.
Kwon, Joon‐myoung, Kyung‐Hee Kim, Ki‐Hyun Jeon, et al.. (2020). Artificial intelligence algorithm for predicting cardiac arrest using electrocardiography. Scandinavian Journal of Trauma Resuscitation and Emergency Medicine. 28(1). 98–98. 49 indexed citations
9.
Kwon, Joon-myoung, Kyung‐Hee Kim, José R. Medina‐Inojosa, et al.. (2020). Artificial intelligence for early prediction of pulmonary hypertension using electrocardiography. The Journal of Heart and Lung Transplantation. 39(8). 805–814. 59 indexed citations
10.
Cho, Hwa Jin, Oyeon Kwon, Joon‐myoung Kwon, et al.. (2020). Artificial intelligence algorithm to predict the need for critical care in prehospital emergency medical services. Scandinavian Journal of Trauma Resuscitation and Emergency Medicine. 28(1). 17–17. 76 indexed citations
11.
Kwon, Joon-myoung, Kyung‐Hee Kim, Zeynettin Akkus, et al.. (2020). Artificial intelligence for detecting mitral regurgitation using electrocardiography. Journal of Electrocardiology. 59. 151–157. 54 indexed citations
12.
Kwon, Joon-myoung, Younghoon Cho, Ki‐Hyun Jeon, et al.. (2020). A deep learning algorithm to detect anaemia with ECGs: a retrospective, multicentre study. The Lancet Digital Health. 2(7). e358–e367. 74 indexed citations
13.
Kwon, Joon‐myoung, Ki‐Hyun Jeon, Hyue Mee Kim, et al.. (2019). Comparing the performance of artificial intelligence and conventional diagnosis criteria for detecting left ventricular hypertrophy using electrocardiography. EP Europace. 22(3). 412–419. 77 indexed citations
14.
Kwon, Joon‐myoung, Ki‐Hyun Jeon, Hyue Mee Kim, et al.. (2019). High Incidence and Mortality of Out-of-Hospital Cardiac Arrest on Traditional Holiday in South Korea. Korean Circulation Journal. 49(10). 945–945. 4 indexed citations
15.
Kim, Kyung‐Hee, Hyue Mee Kim, Jinsik Park, & Yong Jin Kim. (2019). Differential Transcriptome Profile and Exercise Capacity in Cardiac Remodeling by Pressure Overload versus Volume Overload. Europe PMC (PubMed Central). 27(1). 50–50. 7 indexed citations
16.
Jeon, Ki‐Hyun, Hyue Mee Kim, Min Jeong Kim, et al.. (2019). Deep-learning-based risk stratification for mortality of patients with acute myocardial infarction. PLoS ONE. 14(10). e0224502–e0224502. 63 indexed citations
17.
Kwon, Joon‐myoung, et al.. (2018). Validation of deep-learning-based triage and acuity score using a large national dataset. PLoS ONE. 13(10). e0205836–e0205836. 62 indexed citations
18.
Kim, Joonghee, Jinsik Park, Hwan Jun Jae, et al.. (2010). Efficacy and Safety of the Computed Tomography Coronary Angiography Based Approach for Patients with Acute Chest Pain at an Emergency Department: One Month Clinical Follow-up Study. Journal of Korean Medical Science. 25(3). 466–466. 5 indexed citations
19.
Kondo, Tetsuro, et al.. (2010). Round-Trip System Available to Measure Path Length Variation in Korea VLBI System for Geodesy. NASA Technical Reports Server (NASA). 449–453. 1 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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