Young Sun Lee

39 total papers · 1.2k total citations
17 papers, 578 citations indexed

About

Young Sun Lee is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Young Sun Lee has authored 17 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pulmonary and Respiratory Medicine, 6 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Young Sun Lee's work include Prostate Cancer Treatment and Research (7 papers), PI3K/AKT/mTOR signaling in cancer (5 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers). Young Sun Lee is often cited by papers focused on Prostate Cancer Treatment and Research (7 papers), PI3K/AKT/mTOR signaling in cancer (5 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers). Young Sun Lee collaborates with scholars based in United States, South Korea and Iceland. Young Sun Lee's co-authors include Hrafn Tulinius, R. A. B. Drury, G. Dhom, Chun Wai Chan, N. E. Breslow, B Gellei, Sven Lundberg, L. M. Franks, Gong Yong Jin and Young Min Han and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Genetics.

In The Last Decade

Young Sun Lee

14 papers receiving 550 citations

Hit Papers

Latent carcinoma of prost... 1977 2026 1993 2009 1977 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Young Sun Lee 370 133 125 112 95 17 578
Kaneyoshi Akazaki 344 0.9× 139 1.0× 95 0.8× 76 0.7× 104 1.1× 21 628
Gabriel Olmedilla 239 0.6× 125 0.9× 237 1.9× 132 1.2× 55 0.6× 17 556
Martin Y. Heshmat 358 1.0× 123 0.9× 58 0.5× 121 1.1× 109 1.1× 16 653
Cecilia Bosco 248 0.7× 93 0.7× 101 0.8× 113 1.0× 96 1.0× 23 536
Pam Unger 451 1.2× 66 0.5× 124 1.0× 61 0.5× 83 0.9× 17 683
Claude Darte 220 0.6× 111 0.8× 115 0.9× 36 0.3× 57 0.6× 15 518
Dimitrios Delakas 287 0.8× 69 0.5× 159 1.3× 85 0.8× 212 2.2× 23 559
Ranko Miocinovic 230 0.6× 128 1.0× 179 1.4× 65 0.6× 278 2.9× 32 638
Nanor Sirab 256 0.7× 94 0.7× 273 2.2× 90 0.8× 72 0.8× 14 627
Marcus V. Sadi 426 1.2× 86 0.6× 176 1.4× 120 1.1× 48 0.5× 22 629

Countries citing papers authored by Young Sun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Young Sun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young Sun Lee

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