Young-Kwon Kim

13 total papers · 464 total citations
12 papers, 366 citations indexed

About

Young-Kwon Kim is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Young-Kwon Kim has authored 12 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cardiology and Cardiovascular Medicine, 2 papers in Molecular Biology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Young-Kwon Kim's work include Cardiac electrophysiology and arrhythmias (3 papers), Cardiovascular Health and Disease Prevention (3 papers) and Cardiac Ischemia and Reperfusion (2 papers). Young-Kwon Kim is often cited by papers focused on Cardiac electrophysiology and arrhythmias (3 papers), Cardiovascular Health and Disease Prevention (3 papers) and Cardiac Ischemia and Reperfusion (2 papers). Young-Kwon Kim collaborates with scholars based in South Korea and United States. Young-Kwon Kim's co-authors include Song-Jung Kim, Stephen F. Vatner, Atsuko Yatani, Dorothy E. Vatner, Gen Takagi, Moo‐Yong Rhee, Yong‐Seok Kim, Jun Ho Bae, Deuk-Young Nah and Myoung-Mook Lee and has published in prestigious journals such as Journal of Biological Chemistry, Circulation Research and American Journal of Physiology-Heart and Circulatory Physiology.

In The Last Decade

Young-Kwon Kim

11 papers receiving 360 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Young-Kwon Kim 198 162 71 47 42 12 366
Wen Ding 83 0.4× 135 0.8× 30 0.4× 36 0.8× 34 0.8× 24 373
Rudo F. Mapanga 75 0.4× 130 0.8× 38 0.5× 76 1.6× 27 0.6× 13 360
Claire Zhang 101 0.5× 144 0.9× 37 0.5× 18 0.4× 45 1.1× 14 363
Elen A. Chaves 108 0.5× 108 0.7× 32 0.5× 49 1.0× 12 0.3× 10 400
Dawit Zewdu Wondafrash 55 0.3× 132 0.8× 28 0.4× 70 1.5× 40 1.0× 16 388
Wei Zhu 240 1.2× 99 0.6× 91 1.3× 31 0.7× 44 1.0× 19 392
Orna Avlas 90 0.5× 145 0.9× 57 0.8× 30 0.6× 25 0.6× 10 385
Christoph Ziskoven 86 0.4× 120 0.7× 35 0.5× 76 1.6× 68 1.6× 15 309
Paramesha Bugga 67 0.3× 135 0.8× 33 0.5× 85 1.8× 29 0.7× 18 370
Lynette Wroblewski Lissin 109 0.6× 58 0.4× 190 2.7× 46 1.0× 29 0.7× 8 392

Countries citing papers authored by Young-Kwon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Young-Kwon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young-Kwon Kim

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

All Works

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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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2026