DaeYong Lee

98 total papers · 1.6k total citations
32 papers, 1.0k citations indexed

About

DaeYong Lee is a scholar working on Molecular Biology, Immunology and Biomedical Engineering. According to data from OpenAlex, DaeYong Lee has authored 32 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Immunology and 11 papers in Biomedical Engineering. Recurrent topics in DaeYong Lee's work include Nanoplatforms for cancer theranostics (11 papers), RNA Interference and Gene Delivery (9 papers) and Immunotherapy and Immune Responses (6 papers). DaeYong Lee is often cited by papers focused on Nanoplatforms for cancer theranostics (11 papers), RNA Interference and Gene Delivery (9 papers) and Immunotherapy and Immune Responses (6 papers). DaeYong Lee collaborates with scholars based in South Korea, United States and China. DaeYong Lee's co-authors include Yeu‐Chun Kim, Jisang Yoo, Betty Y.S. Kim, Wen Jiang, Ilkoo Noh, Kristin Huntoon, N. Sanoj Rejinold, Chan‐Uk Jeong, Yifan Wang and Sangyong Jon and has published in prestigious journals such as Advanced Materials, Nature Nanotechnology and Biomaterials.

In The Last Decade

DaeYong Lee

32 papers receiving 1.0k citations

Hit Papers

Cancer immunotherapy base... 2022 2026 2023 2024 2022 40 80 120

Author Peers

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

Author Last Decade Papers Cites
DaeYong Lee 471 439 250 243 180 32 1.0k
Yu Qin 519 1.1× 389 0.9× 232 0.9× 391 1.6× 159 0.9× 31 1.1k
Huapan Fang 485 1.0× 442 1.0× 249 1.0× 261 1.1× 124 0.7× 43 1.0k
Mengyun Liang 524 1.1× 403 0.9× 189 0.8× 250 1.0× 134 0.7× 27 837
Yue Yan 524 1.1× 378 0.9× 181 0.7× 258 1.1× 171 0.9× 39 857
Jiayan Wu 673 1.4× 557 1.3× 310 1.2× 295 1.2× 219 1.2× 33 1.2k
Kuo‐Ching Mei 482 1.0× 431 1.0× 277 1.1× 327 1.3× 184 1.0× 32 1.1k
Jun‐Long Liang 682 1.4× 325 0.7× 277 1.1× 274 1.1× 285 1.6× 31 1.1k
Guangchao Qing 566 1.2× 568 1.3× 209 0.8× 174 0.7× 186 1.0× 24 1.1k
Mengsi Zhan 468 1.0× 332 0.8× 200 0.8× 241 1.0× 129 0.7× 37 848
Lele Sun 585 1.2× 630 1.4× 247 1.0× 200 0.8× 130 0.7× 53 1.2k

Countries citing papers authored by DaeYong Lee

Since Specialization
Citations

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

Fields of papers citing papers by DaeYong Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of DaeYong Lee

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