Eung‐Kyun Kim

13 total papers · 628 total citations
12 papers, 523 citations indexed

About

Eung‐Kyun Kim is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Eung‐Kyun Kim has authored 12 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Physiology and 3 papers in Epidemiology. Recurrent topics in Eung‐Kyun Kim's work include Peroxisome Proliferator-Activated Receptors (3 papers), Adipose Tissue and Metabolism (3 papers) and Metabolism, Diabetes, and Cancer (2 papers). Eung‐Kyun Kim is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (3 papers), Adipose Tissue and Metabolism (3 papers) and Metabolism, Diabetes, and Cancer (2 papers). Eung‐Kyun Kim collaborates with scholars based in South Korea, United States and China. Eung‐Kyun Kim's co-authors include Pann‐Ghill Suh, Sung Ho Ryu, Hyun‐Jun Jang, Kyong‐Tai Kim, Jang Hyun Choi, Yong Ryoul Yang, Seyoung Lim, Jeong Kon Seo, Whaseon Lee‐Kwon and Minseok Song and has published in prestigious journals such as Diabetes, Journal of Cellular Physiology and Journal of Cellular Biochemistry.

In The Last Decade

Eung‐Kyun Kim

12 papers receiving 521 citations

Author Peers

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

Author Last Decade Papers Cites
Eung‐Kyun Kim 370 126 115 83 81 12 523
Shunichi Yokoe 403 1.1× 173 1.4× 82 0.7× 57 0.7× 38 0.5× 21 553
Benjamin Lefkove 234 0.6× 84 0.7× 65 0.6× 41 0.5× 86 1.1× 10 473
Yusuke Suzuki 359 1.0× 60 0.5× 106 0.9× 30 0.4× 49 0.6× 25 541
Judith Nordberg 309 0.8× 58 0.5× 44 0.4× 30 0.4× 70 0.9× 9 493
Joanne Uhl 278 0.8× 87 0.7× 44 0.4× 32 0.4× 113 1.4× 19 587
Yihui Ma 365 1.0× 52 0.4× 60 0.5× 70 0.8× 28 0.3× 18 614
Daniel Floryk 408 1.1× 36 0.3× 52 0.5× 69 0.8× 104 1.3× 17 568
Jaya Gautam 245 0.7× 85 0.7× 59 0.5× 39 0.5× 39 0.5× 18 464
Mei-Shiue Kuo 370 1.0× 88 0.7× 62 0.5× 23 0.3× 36 0.4× 11 481
Ryota Maeda 327 0.9× 85 0.7× 26 0.2× 90 1.1× 52 0.6× 18 551

Countries citing papers authored by Eung‐Kyun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Eung‐Kyun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eung‐Kyun Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Eung‐Kyun Kim. A scholar is included among the top collaborators of Eung‐Kyun 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 Eung‐Kyun Kim. Eung‐Kyun 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