Hee-Eun Lee

76 total papers · 1.0k total citations
48 papers, 798 citations indexed

About

Hee-Eun Lee is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Hee-Eun Lee has authored 48 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 10 papers in Plant Science and 10 papers in Cancer Research. Recurrent topics in Hee-Eun Lee's work include MicroRNA in disease regulation (10 papers), Chromosomal and Genetic Variations (9 papers) and RNA and protein synthesis mechanisms (6 papers). Hee-Eun Lee is often cited by papers focused on MicroRNA in disease regulation (10 papers), Chromosomal and Genetic Variations (9 papers) and RNA and protein synthesis mechanisms (6 papers). Hee-Eun Lee collaborates with scholars based in South Korea, Japan and United States. Hee-Eun Lee's co-authors include Heui‐Soo Kim, Jin Yeul, Hee Ra Park, Won‐Kyung Cho, Ara Jo, Jong‐Il Kim, Hwayong Park, Han Nim Lee, Taijoon Chung and Jang‐Gi Choi and has published in prestigious journals such as The Plant Cell, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Hee-Eun Lee

43 papers receiving 784 citations

Author Peers

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

Author Last Decade Papers Cites
Hee-Eun Lee 314 178 140 129 118 48 798
Hong‐Jin Kim 324 1.0× 120 0.7× 154 1.1× 168 1.3× 106 0.9× 46 835
Yuanyuan Tian 297 0.9× 117 0.7× 117 0.8× 71 0.6× 138 1.2× 50 896
Xiaoyan Huang 329 1.0× 211 1.2× 90 0.6× 94 0.7× 160 1.4× 64 1.0k
Jienny Lee 385 1.2× 79 0.4× 96 0.7× 87 0.7× 147 1.2× 60 1.0k
Zhengxiang Liu 412 1.3× 96 0.5× 79 0.6× 76 0.6× 116 1.0× 71 1.0k
Keiko Morikawa 320 1.0× 147 0.8× 87 0.6× 86 0.7× 205 1.7× 59 1.0k
Shih‐Shun Chen 446 1.4× 158 0.9× 84 0.6× 105 0.8× 192 1.6× 34 983
Guoli Li 295 0.9× 88 0.5× 165 1.2× 81 0.6× 186 1.6× 49 851
Feifei Lv 524 1.7× 151 0.8× 98 0.7× 74 0.6× 64 0.5× 63 995
Min‐Ho Jeong 359 1.1× 214 1.2× 64 0.5× 109 0.8× 117 1.0× 39 912

Countries citing papers authored by Hee-Eun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Hee-Eun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hee-Eun Lee. 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 Hee-Eun Lee. The network helps show where Hee-Eun Lee may publish in the future.

Co-authorship network of co-authors of Hee-Eun Lee

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