Yeunjung Kim

613 total citations
17 papers, 437 citations indexed

About

Yeunjung Kim is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Epidemiology. According to data from OpenAlex, Yeunjung Kim has authored 17 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 4 papers in Surgery and 3 papers in Epidemiology. Recurrent topics in Yeunjung Kim's work include Cardiac Valve Diseases and Treatments (4 papers), Hearing, Cochlea, Tinnitus, Genetics (3 papers) and Cardiac Imaging and Diagnostics (3 papers). Yeunjung Kim is often cited by papers focused on Cardiac Valve Diseases and Treatments (4 papers), Hearing, Cochlea, Tinnitus, Genetics (3 papers) and Cardiac Imaging and Diagnostics (3 papers). Yeunjung Kim collaborates with scholars based in United States, Puerto Rico and China. Yeunjung Kim's co-authors include Xi Lin, Qing Chang, Binfei Zhou, Yunfeng Wang, Huawei Li, Qi Li, Jianjun Wang, Michael Miller, Qing Chang and Wenxue Tang and has published in prestigious journals such as Journal of the American College of Cardiology, The American Journal of Cardiology and American Heart Journal.

In The Last Decade

Yeunjung Kim

16 papers receiving 434 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yeunjung Kim United States 9 143 132 114 74 69 17 437
Paola Iacotucci Italy 15 27 0.2× 54 0.4× 52 0.5× 45 0.6× 57 0.8× 38 540
Zachary Grimes United States 8 42 0.3× 22 0.2× 65 0.6× 27 0.4× 38 0.6× 11 918
Stephen Winbery United States 11 73 0.5× 14 0.1× 46 0.4× 83 1.1× 15 0.2× 20 380
Mariusz Dąbrowski Poland 11 39 0.3× 29 0.2× 74 0.6× 48 0.6× 52 0.8× 33 341
Jonathan Sen Australia 10 10 0.1× 168 1.3× 125 1.1× 128 1.7× 38 0.6× 23 529
Atalay Şahin Türkiye 12 14 0.1× 30 0.2× 31 0.3× 186 2.5× 19 0.3× 50 456
María Eugenia Garay-Sevilla Mexico 7 56 0.4× 19 0.1× 49 0.4× 14 0.2× 41 0.6× 7 428
Mika Takeshita Japan 12 13 0.1× 92 0.7× 31 0.3× 53 0.7× 108 1.6× 35 431
Andrew Krumerman United States 16 7 0.0× 826 6.3× 273 2.4× 51 0.7× 53 0.8× 68 947
YS Kim South Korea 12 10 0.1× 33 0.3× 98 0.9× 27 0.4× 18 0.3× 31 385

Countries citing papers authored by Yeunjung Kim

Since Specialization
Citations

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

Fields of papers citing papers by Yeunjung Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yeunjung Kim

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

All Works

17 of 17 papers shown
1.
Kaewkes, Danon, Vivek Patel, Tomoki Ochiai, et al.. (2022). Usefulness of computed tomography to predict residual mitral regurgitation after transcatheter mitral valve edge-to-edge repair. Journal of Cardiology. 80(6). 563–572. 4 indexed citations
2.
Kim, Yeunjung, et al.. (2021). Outcomes of mechanical circulatory support for acute myocardial infarction complicated by cardiogenic shock. Catheterization and Cardiovascular Interventions. 99(3). 658–663. 22 indexed citations
3.
Kim, Yeunjung, et al.. (2020). Frequency of Management of Cardiogenic Shock With Mechanical Circulatory Support Devices According to Race. The American Journal of Cardiology. 125(12). 1782–1787. 8 indexed citations
4.
Hernández-Suárez, Dagmar F., Sagar Ranka, Yeunjung Kim, et al.. (2020). Machine-Learning-Based In-Hospital Mortality Prediction for Transcatheter Mitral Valve Repair in the United States. Cardiovascular revascularization medicine. 22. 22–28. 29 indexed citations
5.
Do, Albert, et al.. (2019). IMPACT OF DRUG ABUSE IN ACUTE CORONARY SYNDROME: ANALYSIS OF THE NATIONAL INPATIENT SAMPLE 2012-2015. Journal of the American College of Cardiology. 73(9). 163–163. 1 indexed citations
6.
Hernández-Suárez, Dagmar F., Yeunjung Kim, Pedro Villablanca, et al.. (2019). Machine Learning Prediction Models for In-Hospital Mortality After Transcatheter Aortic Valve Replacement. JACC: Cardiovascular Interventions. 12(14). 1328–1338. 95 indexed citations
7.
Hernández-Suárez, Dagmar F., et al.. (2019). Qualitative Assessment of Color M-Mode Signals in the Evaluation of Left Ventricular Diastolic Function: A Proof of Concept Study. Journal of Cardiothoracic and Vascular Anesthesia. 33(10). 2658–2662.
8.
Kim, Yeunjung, Morgan Soffler, Summer Paradise, et al.. (2017). Depression is associated with recurrent chest pain with or without coronary artery disease: A prospective cohort study in the emergency department. American Heart Journal. 191. 47–54. 25 indexed citations
9.
Kim, Yeunjung, et al.. (2017). Patient Ethnicity Predicts Poor Health Access and Gaps in Perception of Personal Cardiovascular Risk Factors. Critical Pathways in Cardiology A Journal of Evidence-Based Medicine. 16(4). 147–157. 3 indexed citations
10.
Bartlett, Jacquelaine, Irene M. Predazzi, Scott M. Williams, et al.. (2016). Is Isolated Low High-Density Lipoprotein Cholesterol a Cardiovascular Disease Risk Factor?. Circulation Cardiovascular Quality and Outcomes. 9(3). 206–212. 63 indexed citations
11.
Kim, Yeunjung, Morgan Soffler, Summer Paradise, et al.. (2016). DEPRESSION AND ANXIETY ARE ASSOCIATED WITH HIGH RATES OF RECURRENT CHEST PAIN. Journal of the American College of Cardiology. 67(13). 581–581. 2 indexed citations
12.
Chang, Qing, Jianjun Wang, Qi Li, et al.. (2015). Virally mediated Kcnq1 gene replacement therapy in the immature scala media restores hearing in a mouse model of human Jervell and Lange‐Nielsen deafness syndrome. EMBO Molecular Medicine. 7(8). 1077–1086. 94 indexed citations
13.
Kim, Yeunjung, et al.. (2015). Relation of Vitamin E and Selenium Exposure to Prostate Cancer Risk by Smoking Status: A Review and Meta-Analysis.. PubMed. 35(9). 4983–96. 14 indexed citations
14.
Miller, Michael, Yeunjung Kim, Stephen Havas, Peter O. Kwiterovich, & Sergio Fazio. (2014). DOES LOW HDL-C INCREASE CHD RISK WHEN TG & LDL-C ARE NORMAL? THE FRAMINGHAM OFFSPRING STUDY. Journal of the American College of Cardiology. 63(12). A1286–A1286. 1 indexed citations
15.
Chang, Qing, Wenxue Tang, Yeunjung Kim, & Xi Lin. (2014). Timed conditional null of connexin26 in mice reveals temporary requirements of connexin26 in key cochlear developmental events before the onset of hearing. Neurobiology of Disease. 73. 418–427. 31 indexed citations
16.
Kim, Yeunjung & Michael Miller. (2014). Marked hypertriglyceridemia in a woman receiving metoprolol succinate. Journal of clinical lipidology. 8(6). 640–643. 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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