Hyeon‐Cheol Lee

62 total papers · 1.3k total citations
40 papers, 957 citations indexed

About

Hyeon‐Cheol Lee is a scholar working on Biochemistry, Molecular Biology and Surgery. According to data from OpenAlex, Hyeon‐Cheol Lee has authored 40 papers receiving a total of 957 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Biochemistry, 12 papers in Molecular Biology and 9 papers in Surgery. Recurrent topics in Hyeon‐Cheol Lee's work include Lipid metabolism and biosynthesis (11 papers), Pancreatic function and diabetes (8 papers) and Advanced Statistical Methods and Models (5 papers). Hyeon‐Cheol Lee is often cited by papers focused on Lipid metabolism and biosynthesis (11 papers), Pancreatic function and diabetes (8 papers) and Advanced Statistical Methods and Models (5 papers). Hyeon‐Cheol Lee collaborates with scholars based in Japan, United States and South Korea. Hyeon‐Cheol Lee's co-authors include Takehiko Yokomizo, Hiroyuki Arai, Nozomu Kono, Takao Inoue, Shohei Mitani, Keiko Gengyo‐Ando, Benjamin F. Cravatt, Shinji Matsuda, Gabriel M. Simon and Satoshi Waguri and has published in prestigious journals such as Nature Communications, Biochemistry and The FASEB Journal.

In The Last Decade

Hyeon‐Cheol Lee

35 papers receiving 949 citations

Author Peers

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

Author Last Decade Papers Cites
Hyeon‐Cheol Lee 495 241 231 155 145 40 957
Terhi Vihervaara 466 0.9× 121 0.5× 141 0.6× 172 1.1× 144 1.0× 31 809
Trisha J. Grevengoed 705 1.4× 201 0.8× 144 0.6× 107 0.7× 260 1.8× 25 1.1k
Patricia Lund 464 0.9× 234 1.0× 154 0.7× 224 1.4× 423 2.9× 34 1.2k
Heather A. Hostetler 828 1.7× 177 0.7× 250 1.1× 62 0.4× 211 1.5× 32 1.2k
Suzumi M. Tokuoka 441 0.9× 139 0.6× 89 0.4× 111 0.7× 180 1.2× 39 888
Jiang Wei Wu 395 0.8× 271 1.1× 205 0.9× 68 0.4× 385 2.7× 35 994
Bernard P. Kok 678 1.4× 156 0.6× 109 0.5× 193 1.2× 182 1.3× 23 1.1k
Pamela J. McFie 566 1.1× 381 1.6× 94 0.4× 138 0.9× 174 1.2× 25 946
Honggang Wang 536 1.1× 213 0.9× 206 0.9× 76 0.5× 79 0.5× 57 946
E. Verney 489 1.0× 102 0.4× 109 0.5× 278 1.8× 229 1.6× 47 1.1k

Countries citing papers authored by Hyeon‐Cheol Lee

Since Specialization
Citations

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

Fields of papers citing papers by Hyeon‐Cheol Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyeon‐Cheol 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 Hyeon‐Cheol Lee. The network helps show where Hyeon‐Cheol Lee may publish in the future.

Co-authorship network of co-authors of Hyeon‐Cheol Lee

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