Eun‐Woo Lee
Impact in
- Cancer Research top 2%
- Carcinogens and Genotoxicity Assessment
- Cancer, Lipids, and Metabolism
- Aquatic Science top 2%
Papers in
-
- Ubiquitin and proteasome pathways 17
- Cell death mechanisms and regulation 11
- Immunology 30
- Aquaculture disease management and microbiota 19
- Co-authors
- Jaewhan Song (24 shared papers)Kwang‐Hee Bae (15 shared papers)Ji-Yoon Lee (5 shared papers)Won Kon Kim (12 shared papers)Robert Snyder (7 shared papers)James J. Kocsis (5 shared papers)Wonkyung Oh (8 shared papers)Sang Chul Lee (3 shared papers)
- Journals
- BMB Reports (7 papers)Journal of Toxicology and Environmental Health (4 papers)Scientific Reports (4 papers)Journal of Biological Chemistry (4 papers)Molecules and Cells (4 papers)
- Partner nations
- South KoreaUnited StatesBangladesh
In The Last Decade
Eun‐Woo Lee
213 papers receiving 5.4k citations
Eun‐Woo Lee's Hit Papers
Peers
Comparison fields: 5 of 163
- Cancer Research 869
- Aquatic Science 281
- Molecular Medicine 177
- Molecular Biology 2.3k
- Immunology 680
Countries citing papers authored by Eun‐Woo Lee
This map shows the geographic impact of Eun‐Woo 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 Eun‐Woo Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eun‐Woo Lee more than expected).
Fields of papers citing papers by Eun‐Woo Lee
This network shows the impact of papers produced by Eun‐Woo 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 Eun‐Woo Lee. The network helps show where Eun‐Woo Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Eun‐Woo Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 232 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Lipid Metabolism and Ferroptosis Hit paper breakdown → | 2021 | 290 |
| 2 | 2019 | 283 | |
| 3 | 1977 | 172 | |
| 4 | 2016 | 156 | |
| 5 | 2000 | 151 | |
| 6 | 2003 | 143 | |
| 7 | 2009 | 137 | |
| 8 | 2012 | 120 | |
| 9 | An integrated view of lipid metabolism in ferroptosis revisited via lipidomic analysis Hit paper breakdown → | 2023 | 118 |
| 10 | 2012 | 108 | |
| 11 | 2021 | 100 | |
| 12 | 2014 | 98 | |
| 13 | 2007 | 96 | |
| 14 | 2007 | 95 | |
| 15 | 2008 | 87 | |
| 16 | 2022 | 85 | |
| 17 | 2014 | 84 | |
| 18 | 2006 | 82 | |
| 19 | 2006 | 80 | |
| 20 | 2017 | 79 |
About Eun‐Woo Lee
Eun‐Woo Lee is a scholar working on Molecular Biology, Immunology, Electrical and Electronic Engineering, Oncology and Materials Chemistry, having authored 232 papers that have together received 5.6k indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (19 papers), Ubiquitin and proteasome pathways (17 papers), Aquaculture Nutrition and Growth (16 papers), Aquatic life and conservation (12 papers), Cancer-related Molecular Pathways (12 papers), Cell death mechanisms and regulation (11 papers), Quantum Dots Synthesis And Properties (9 papers) and Chalcogenide Semiconductor Thin Films (9 papers). The work is most often cited by research in Cancer Research (869 citations), Aquatic Science (281 citations), Molecular Medicine (177 citations), Molecular Biology (2.3k citations) and Immunology (680 citations). Eun‐Woo Lee has collaborated with scholars based in South Korea, United States and Bangladesh. Frequent co-authors include Jaewhan Song, Kwang‐Hee Bae, Ji-Yoon Lee, Won Kon Kim, Robert Snyder, James J. Kocsis, Wonkyung Oh, Sang Chul Lee, Won Je Jang and Charlotte Witmer. Their work appears in journals such as BMB Reports, Journal of Toxicology and Environmental Health, Scientific Reports, Journal of Biological Chemistry and Molecules and Cells.
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.