Eun Su Jeon

33 total papers · 1.7k total citations
29 papers, 1.4k citations indexed

About

Eun Su Jeon is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Eun Su Jeon has authored 29 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 12 papers in Genetics and 8 papers in Cancer Research. Recurrent topics in Eun Su Jeon's work include Mesenchymal stem cell research (12 papers), Sphingolipid Metabolism and Signaling (9 papers) and Fibroblast Growth Factor Research (6 papers). Eun Su Jeon is often cited by papers focused on Mesenchymal stem cell research (12 papers), Sphingolipid Metabolism and Signaling (9 papers) and Fibroblast Growth Factor Research (6 papers). Eun Su Jeon collaborates with scholars based in South Korea, United States and Sweden. Eun Su Jeon's co-authors include Jae Ho Kim, Hae Young Song, Jin Sup Jung, Mi‐Jeong Lee, Young Mi Kim, Soon Chul Heo, Il Hwan Lee, Hyun Jung Moon, Yong Chan Bae and Hoon‐Soo Kim and has published in prestigious journals such as Circulation Research, Biochemical and Biophysical Research Communications and Journal of Cell Science.

In The Last Decade

Eun Su Jeon

29 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Eun Su Jeon 721 588 335 249 194 29 1.4k
Rebekah M. Samsonraj 696 1.0× 664 1.1× 410 1.2× 145 0.6× 218 1.1× 31 1.6k
Stefania Elena Navone 670 0.9× 549 0.9× 311 0.9× 238 1.0× 194 1.0× 58 1.8k
Fernando A. Fierro 763 1.1× 878 1.5× 392 1.2× 244 1.0× 194 1.0× 55 1.8k
Chika Koike 656 0.9× 652 1.1× 500 1.5× 192 0.8× 150 0.8× 26 1.8k
Yao-Hua Song 686 1.0× 466 0.8× 318 0.9× 220 0.9× 225 1.2× 16 1.4k
Nathalie Gallay 819 1.1× 739 1.3× 348 1.0× 312 1.3× 116 0.6× 33 1.8k
Hyun Hwa Cho 701 1.0× 692 1.2× 337 1.0× 166 0.7× 119 0.6× 20 1.5k
Ludovic Zimmerlin 629 0.9× 976 1.7× 662 2.0× 400 1.6× 235 1.2× 30 1.7k
Kengo Kusano 901 1.2× 381 0.6× 351 1.0× 289 1.2× 162 0.8× 14 1.4k
Yulin Li 564 0.8× 396 0.7× 290 0.9× 127 0.5× 113 0.6× 62 1.3k

Countries citing papers authored by Eun Su Jeon

Since Specialization
Citations

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

Fields of papers citing papers by Eun Su Jeon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eun Su Jeon. 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 Eun Su Jeon. The network helps show where Eun Su Jeon may publish in the future.

Co-authorship network of co-authors of Eun Su Jeon

This figure shows the co-authorship network connecting the top 25 collaborators of Eun Su Jeon. A scholar is included among the top collaborators of Eun Su Jeon 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 Eun Su Jeon. Eun Su Jeon 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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