Hyoeun Kim

2.9k total citations · 1 hit paper
98 papers, 1.7k citations indexed

About

Hyoeun Kim is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Hyoeun Kim has authored 98 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 22 papers in Cardiology and Cardiovascular Medicine and 16 papers in Surgery. Recurrent topics in Hyoeun Kim's work include Extracellular vesicles in disease (10 papers), Cardiomyopathy and Myosin Studies (8 papers) and Nutrition and Health in Aging (5 papers). Hyoeun Kim is often cited by papers focused on Extracellular vesicles in disease (10 papers), Cardiomyopathy and Myosin Studies (8 papers) and Nutrition and Health in Aging (5 papers). Hyoeun Kim collaborates with scholars based in South Korea, United States and United Kingdom. Hyoeun Kim's co-authors include Hyeonseob Nam, Hyunjae Lee, Dasom Mun, Nuri Yun, Boyoung Joung, Sangheum Hwang, Ji-Hoon Jeong, Hee Jin Kim, Hyelim Park and Hyewon Park and has published in prestigious journals such as Nature, Nature Communications and Journal of the American College of Cardiology.

In The Last Decade

Hyoeun Kim

82 papers receiving 1.7k citations

Hit Papers

The CH25H–CYP7B1–RORα axi... 2019 2026 2021 2023 2019 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The CH25H–CYP7B1–RORα axis of cholesterol metabolism regulates osteoarthritis
    2019 235 citations Ji-Sun Kwak, Hyoeun Kim et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hyoeun Kim South Korea 20 597 298 218 210 200 98 1.7k
Daisuke Yamamoto Japan 26 937 1.6× 246 0.8× 96 0.4× 172 0.8× 132 0.7× 144 2.1k
Zongfang Li China 32 1.2k 2.1× 551 1.8× 184 0.8× 115 0.5× 216 1.1× 116 2.7k
Yining Li China 28 965 1.6× 370 1.2× 330 1.5× 124 0.6× 348 1.7× 113 2.8k
Yingjian Li China 33 2.0k 3.3× 250 0.8× 242 1.1× 209 1.0× 503 2.5× 68 4.4k
Jianhui Chang China 26 1.3k 2.1× 303 1.0× 70 0.3× 54 0.3× 117 0.6× 76 3.8k
Ling Yuan China 27 634 1.1× 156 0.5× 96 0.4× 128 0.6× 285 1.4× 101 2.0k
Jun Han China 34 1.2k 2.0× 686 2.3× 225 1.0× 189 0.9× 447 2.2× 275 4.3k
Pedro Carmona‐Sáez Spain 24 1.7k 2.8× 562 1.9× 50 0.2× 86 0.4× 127 0.6× 62 2.7k
Kun Liu China 25 1.3k 2.2× 721 2.4× 121 0.6× 120 0.6× 401 2.0× 237 3.0k

Countries citing papers authored by Hyoeun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Hyoeun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyoeun Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Hyoeun Kim. A scholar is included among the top collaborators of Hyoeun 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 Hyoeun Kim. Hyoeun 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.
Kim, Hyoeun, David Suh, Hyo‐Kyoung Choi, et al.. (2024). Generation of an induced pluripotent stem cell line from a patient with arrhythmogenic right ventricular cardiomyopathy harboring a TMEM43 splice-site variant. Stem Cell Research. 78. 103453–103453. 2 indexed citations
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Lee, Yeon Sun, Hyoeun Kim, Ji-Sun Kwak, Chul‐Seung Park, & Jang‐Soo Chun. (2024). The cereblon-AMPK (AMP-activated protein kinase) axis in chondrocytes regulates the pathogenesis of osteoarthritis. Osteoarthritis and Cartilage. 32(12). 1579–1590.
5.
Hashemi, Ashkan, et al.. (2023). The Utility of Leadless Atrioventricular Synchronous Pacemaker Implantation as a Novel Alternative to a Traditional Pacemaker During Pregnancy. Journal of Innovations in Cardiac Rhythm Management. 14(8). 5558–5562. 1 indexed citations
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Kang, Jiyoung, et al.. (2023). Engineered small extracellular vesicle‑mediated NOX4 siRNA delivery for targeted therapy of cardiac hypertrophy. Journal of Extracellular Vesicles. 12(10). e12371–e12371. 39 indexed citations
8.
Choi, Naya, et al.. (2023). Comparison of Development and Home Literacy Environments of First Graders with Hangeul Acquisition Difficulties with Their Peers. The Korean Journal of the Human Development. 30(4). 165–183.
9.
Shin, Youngnim, et al.. (2023). Prokineticin 2 is a catabolic regulator of osteoarthritic cartilage destruction in mouse. Arthritis Research & Therapy. 25(1). 236–236. 1 indexed citations
10.
Kim, Hyoeun, Hyeong-Jin Kim, Jaewon Oh, et al.. (2022). An induced pluripotent stem cell line (YCMi006-A) generated from a patient with hypertrophic cardiomyopathy who carries the ACTA1 mutation p.Ile343Met. Stem Cell Research. 63. 102874–102874. 1 indexed citations
11.
Kim, Hyoeun, Chan Joo Lee, Donghoon Choi, et al.. (2020). Lipid-Lowering Efficacy and Safety of a New Generic Rosuvastatin in Koreans: an 8-Week Randomized Comparative Study with a Proprietary Rosuvastatin. Journal of Lipid and Atherosclerosis. 9(2). 283–283. 3 indexed citations
12.
Lee, Hyunjae, Hyoeun Kim, & Hyeonseob Nam. (2019). SRM: A Style-Based Recalibration Module for Convolutional Neural Networks. 1854–1862. 192 indexed citations
13.
Hong, Sung‐Jin, Hyoeun Kim, Chul‐Min Ahn, et al.. (2019). Coronary Artery Aneurysm after Second-Generation Drug-Eluting Stent Implantation. Yonsei Medical Journal. 60(9). 824–824. 6 indexed citations
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Kim, Hyoeun & Sangheum Hwang. (2016). Scale-Invariant Feature Learning using Deconvolutional Neural Networks for Weakly-Supervised Semantic Segmentation.. arXiv (Cornell University). 11 indexed citations
16.
Kim, Hyoeun, et al.. (2011). Influence of friendship to academic persistence and drop out and mediation effect of school adaptation. Fashion business. 15(4). 87–109. 4 indexed citations
17.
Kim, Hyoeun, et al.. (2010). 인간 대장암 세포주에서 capsaicin 처리에 의한 차별적인 유전자 발현의 p53 의존성 분석. 생명과학회지. 20(2). 213–218. 4 indexed citations
18.
Kim, Hyoeun. (2010). The education program majored in fashion for improving interest in schoolwork. Fashion business. 14(1). 184–197. 1 indexed citations
19.
Kim, Hyoeun, et al.. (2004). Changes in Student Nurses' Perception between Initial and Final Clinical Practice. Journal of Korean Academy of Fundamentals of Nursing. 11(1). 21–30. 2 indexed citations
20.
Kim, Hyoeun, et al.. (1998). A Study on The Manufacturing Industries of Women's Wear in Taegu Through the Sewing Technicians. Fashion business. 2(4). 102–111. 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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