Eunjee Lee
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Genetics top 10%
- Glioma Diagnosis and Treatment
Papers in ⓘ
-
- Bioinformatics and Genomic Networks 9
- Gene expression and cancer classification 8
- RNA Research and Splicing 7
- Genomics and Chromatin Dynamics 5
- Fungal and yeast genetics research 3
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- MicroRNA in disease regulation 4
- Cancer-related molecular mechanisms research 4
- Co-authors
- Jun Zhu (18 shared papers)Patrick J. Paddison (3 shared papers)Raymund L. Yong (3 shared papers)Harmen J. Bussemaker (6 shared papers)Seungyeul Yoo (7 shared papers)Eric E. Schadt (5 shared papers)Wenhui Wang (3 shared papers)Maria Isabel Fiel (1 shared paper)
- Journals
- Cancer Research (2 papers)Proceedings of the National Academy of Sciences (2 papers)Cancers (2 papers)Genomics (2 papers)Artificial Intelligence in Medicine (1 paper)
- Partner nations
- United StatesSouth KoreaNetherlands
In The Last Decade
Eunjee Lee
29 papers receiving 582 citations
Peers
Comparison fields: 5 of 76
- Cancer Research 189
- Genetics 92
- Molecular Biology 389
- Hepatology 26
- Cell Biology 46
Countries citing papers authored by Eunjee Lee
This map shows the geographic impact of Eunjee 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 Eunjee Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eunjee Lee more than expected).
Fields of papers citing papers by Eunjee Lee
This network shows the impact of papers produced by Eunjee 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 Eunjee Lee. The network helps show where Eunjee Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Eunjee 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 139 | |
| 2 | 2017 | 58 | |
| 3 | 2017 | 36 | |
| 4 | 2017 | 32 | |
| 5 | 2011 | 32 | |
| 6 | 2015 | 32 | |
| 7 | 2017 | 28 | |
| 8 | 2010 | 25 | |
| 9 | 2017 | 23 | |
| 10 | 2014 | 22 | |
| 11 | 2009 | 21 | |
| 12 | 2018 | 20 | |
| 13 | 2022 | 18 | |
| 14 | 2019 | 18 | |
| 15 | 2017 | 18 | |
| 16 | 2019 | 9 | |
| 17 | 2014 | 7 | |
| 18 | 2014 | 7 | |
| 19 | 2019 | 7 | |
| 20 | 2016 | 6 |
About Eunjee Lee
Eunjee Lee is a scholar working on Molecular Biology, Cancer Research, Genetics, Genetics and Cell Biology, having authored 30 papers that have together received 584 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (9 papers), Gene expression and cancer classification (8 papers), RNA Research and Splicing (7 papers), Genomics and Chromatin Dynamics (5 papers), MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (4 papers), Fungal and yeast genetics research (3 papers) and Genetic Associations and Epidemiology (3 papers). The work is most often cited by research in Cancer Research (189 citations), Genetics (92 citations), Molecular Biology (389 citations), Hepatology (26 citations) and Cell Biology (46 citations). Eunjee Lee has collaborated with scholars based in United States, South Korea and Netherlands. Frequent co-authors include Jun Zhu, Patrick J. Paddison, Raymund L. Yong, Harmen J. Bussemaker, Seungyeul Yoo, Eric E. Schadt, Wenhui Wang, Maria Isabel Fiel, Spiros Hiotis and Qin Wang. Their work appears in journals such as Cancer Research, Proceedings of the National Academy of Sciences, Cancers, Genomics and Artificial Intelligence in Medicine.
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.