Youn-Su Lee

79 total papers · 781 total citations
38 papers, 541 citations indexed

About

Youn-Su Lee is a scholar working on Plant Science, Molecular Biology and Pharmacology. According to data from OpenAlex, Youn-Su Lee has authored 38 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 7 papers in Molecular Biology and 5 papers in Pharmacology. Recurrent topics in Youn-Su Lee's work include Fungal Biology and Applications (5 papers), Pluripotent Stem Cells Research (5 papers) and CRISPR and Genetic Engineering (4 papers). Youn-Su Lee is often cited by papers focused on Fungal Biology and Applications (5 papers), Pluripotent Stem Cells Research (5 papers) and CRISPR and Genetic Engineering (4 papers). Youn-Su Lee collaborates with scholars based in South Korea, Japan and United States. Youn-Su Lee's co-authors include Hideyuki Sato, Tomoyuki Yamaguchi, Hiromitsu Nakauchi, Sanae Hamanaka, Toshihiro Kobayashi, Megumi Kato‐Itoh, Masumi Hirabayashi, Makoto Ibata, A. S. Knisely and Y. Yamazaki and has published in prestigious journals such as Cell, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Youn-Su Lee

25 papers receiving 504 citations

Author Peers

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

Author Last Decade Papers Cites
Youn-Su Lee 389 141 100 59 48 38 541
Ahad Muhammadnejad 207 0.5× 72 0.5× 71 0.7× 30 0.5× 26 0.5× 51 573
Nidheesh Dadheech 179 0.5× 272 1.9× 110 1.1× 25 0.4× 35 0.7× 36 457
Sini Junttila 278 0.7× 49 0.3× 48 0.5× 45 0.8× 12 0.3× 36 601
Kefeng Dou 244 0.6× 135 1.0× 45 0.5× 23 0.4× 17 0.4× 22 514
Jin Li 251 0.6× 55 0.4× 69 0.7× 88 1.5× 16 0.3× 22 516
HyunJun Kang 356 0.9× 44 0.3× 68 0.7× 39 0.7× 35 0.7× 40 563
Viviane Abreu Nunes 242 0.6× 120 0.9× 29 0.3× 36 0.6× 30 0.6× 38 615
Wei Zhou 221 0.6× 48 0.3× 68 0.7× 29 0.5× 20 0.4× 36 576
Kazumi Nakamura 196 0.5× 111 0.8× 51 0.5× 22 0.4× 17 0.4× 37 569
Jing Yang 162 0.4× 68 0.5× 23 0.2× 62 1.1× 19 0.4× 37 510

Countries citing papers authored by Youn-Su Lee

Since Specialization
Citations

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

Fields of papers citing papers by Youn-Su Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Youn-Su Lee

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