Jae W. Lee

12 total papers · 891 total citations
7 papers, 638 citations indexed

About

Jae W. Lee is a scholar working on Cancer Research, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Jae W. Lee has authored 7 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cancer Research, 3 papers in Molecular Biology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Jae W. Lee's work include Cancer, Hypoxia, and Metabolism (5 papers), Cardiac Ischemia and Reperfusion (3 papers) and Nausea and vomiting management (1 paper). Jae W. Lee is often cited by papers focused on Cancer, Hypoxia, and Metabolism (5 papers), Cardiac Ischemia and Reperfusion (3 papers) and Nausea and vomiting management (1 paper). Jae W. Lee collaborates with scholars based in United States, Germany and China. Jae W. Lee's co-authors include Holger K. Eltzschig, Cynthia Ju, Junsuk Ko, Xiaoyi Yuan, Jessica L. Bowser, Tobias Eckle, Michael Koeppen, Srikanth Sridhar, Viola Neudecker and Simone Kreth and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and Journal of Applied Physiology.

In The Last Decade

Jae W. Lee

7 papers receiving 628 citations

Hit Papers

Hypoxia signaling in huma... 2019 2026 2021 2023 2019 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Jae W. Lee 220 196 104 96 94 7 638
Junsuk Ko 263 1.2× 136 0.7× 103 1.0× 116 1.2× 56 0.6× 18 650
Melroy Miranda 243 1.1× 167 0.9× 52 0.5× 36 0.4× 112 1.2× 10 582
Julia Rivo 314 1.4× 102 0.5× 100 1.0× 66 0.7× 71 0.8× 11 661
Dagmar Schumacher 232 1.1× 113 0.6× 27 0.3× 90 0.9× 68 0.7× 14 755
Minjia Zhu 296 1.3× 113 0.6× 108 1.0× 92 1.0× 196 2.1× 11 566
Baochen Bai 394 1.8× 103 0.5× 137 1.3× 61 0.6× 45 0.5× 7 613
Yuta Takagaki 288 1.3× 84 0.4× 47 0.5× 73 0.8× 152 1.6× 15 702
Thomas Weissmüller 229 1.0× 56 0.3× 75 0.7× 78 0.8× 70 0.7× 9 654
Eva Tarantino 193 0.9× 70 0.4× 81 0.8× 159 1.7× 45 0.5× 18 592
Angelical Martin 278 1.3× 120 0.6× 39 0.4× 45 0.5× 29 0.3× 8 772

Countries citing papers authored by Jae W. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jae W. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jae W. Lee

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