Chan‐Hyeong Lee

26 total papers · 1.1k total citations
19 papers, 703 citations indexed

About

Chan‐Hyeong Lee is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Chan‐Hyeong Lee has authored 19 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Immunology. Recurrent topics in Chan‐Hyeong Lee's work include Extracellular vesicles in disease (14 papers), MicroRNA in disease regulation (4 papers) and Cell Adhesion Molecules Research (2 papers). Chan‐Hyeong Lee is often cited by papers focused on Extracellular vesicles in disease (14 papers), MicroRNA in disease regulation (4 papers) and Cell Adhesion Molecules Research (2 papers). Chan‐Hyeong Lee collaborates with scholars based in South Korea, United States and Germany. Chan‐Hyeong Lee's co-authors include Moon‐Chang Baek, Byoung‐Joon Song, Ju‐Hyun Bae, Jong Hyun Kim, Seong‐Sik Park, Ju‐Mi Park, Pyong‐Gon Moon, Hee Jin Cho, Jihoon Kim and Do‐Kyun Kim and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Journal of Controlled Release.

In The Last Decade

Chan‐Hyeong Lee

19 papers receiving 697 citations

Hit Papers

Yam-derived exosome-like ... 2023 2026 2024 2023 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Chan‐Hyeong Lee 522 269 168 95 85 19 703
Francesca Pezzuto 362 0.7× 266 1.0× 107 0.6× 18 0.2× 109 1.3× 16 670
Zhuochao Zhang 623 1.2× 488 1.8× 110 0.7× 21 0.2× 99 1.2× 22 822
B M McManus 273 0.5× 55 0.2× 162 1.0× 117 1.2× 60 0.7× 16 745
Lihong Lv 621 1.2× 434 1.6× 140 0.8× 43 0.5× 47 0.6× 19 747
Roman Sukhovershin 522 1.0× 115 0.4× 106 0.6× 107 1.1× 26 0.3× 15 878
Steve Boukedes 196 0.4× 270 1.0× 258 1.5× 19 0.2× 162 1.9× 21 908
Peter Chockley 271 0.5× 143 0.5× 414 2.5× 59 0.6× 294 3.5× 18 828
John Corr 260 0.5× 165 0.6× 86 0.5× 29 0.3× 156 1.8× 12 856
Fen Ning 356 0.7× 121 0.4× 348 2.1× 24 0.3× 229 2.7× 31 846
Peng Zhang 506 1.0× 316 1.2× 207 1.2× 80 0.8× 74 0.9× 22 732

Countries citing papers authored by Chan‐Hyeong Lee

Since Specialization
Citations

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

Fields of papers citing papers by Chan‐Hyeong Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chan‐Hyeong Lee

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