Hee-Eun Lee
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- RNA and protein synthesis mechanisms 6
- Genomics and Phylogenetic Studies 4
- Circular RNAs in diseases 4
- RNA Research and Splicing 3
- CRISPR and Genetic Engineering 3
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- Chromosomal and Genetic Variations 9
- Co-authors
- Heui‐Soo Kim (26 shared papers)Jin Yeul (7 shared papers)Hee Ra Park (4 shared papers)Won‐Kyung Cho (5 shared papers)Ara Jo (10 shared papers)Hwayong Park (2 shared papers)Han Nim Lee (1 shared paper)Jong‐Il Kim (1 shared paper)
- Journals
- Gene (5 papers)Scientific Reports (4 papers)Molecules and Cells (1 paper)Genes & Genetic Systems (1 paper)Cell Reports (1 paper)
- Partner nations
- South KoreaJapanUnited States
In The Last Decade
Hee-Eun Lee
43 papers receiving 789 citations
Peers
Comparison fields: 5 of 110
- Complementary and alternative medicine 70
- Cancer Research 89
- Pharmacology 49
- Biological Psychiatry 14
- Immunology 118
Countries citing papers authored by Hee-Eun Lee
This map shows the geographic impact of Hee-Eun 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 Hee-Eun Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hee-Eun Lee more than expected).
Fields of papers citing papers by Hee-Eun Lee
This network shows the impact of papers produced by Hee-Eun 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 Hee-Eun Lee. The network helps show where Hee-Eun Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Hee-Eun 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 119 | |
| 2 | 2013 | 104 | |
| 3 | 2015 | 62 | |
| 4 | 2018 | 60 | |
| 5 | 2019 | 51 | |
| 6 | 2020 | 49 | |
| 7 | 2017 | 41 | |
| 8 | 2017 | 38 | |
| 9 | 2017 | 35 | |
| 10 | 2016 | 32 | |
| 11 | 2015 | 29 | |
| 12 | 2015 | 21 | |
| 13 | 2018 | 16 | |
| 14 | 2020 | 14 | |
| 15 | 2016 | 14 | |
| 16 | 2017 | 13 | |
| 17 | 2014 | 10 | |
| 18 | 2019 | 9 | |
| 19 | 2017 | 9 | |
| 20 | 2017 | 8 |
About Hee-Eun Lee
Hee-Eun Lee is a scholar working on Molecular Biology, Plant Science, Cancer Research, Genetics and Immunology, having authored 48 papers that have together received 803 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (10 papers), Chromosomal and Genetic Variations (9 papers), RNA and protein synthesis mechanisms (6 papers), Genomics and Phylogenetic Studies (4 papers), Circular RNAs in diseases (4 papers), RNA Research and Splicing (3 papers), CRISPR and Genetic Engineering (3 papers) and Human-Animal Interaction Studies (3 papers). The work is most often cited by research in Complementary and alternative medicine (70 citations), Cancer Research (89 citations), Pharmacology (49 citations), Biological Psychiatry (14 citations) and Immunology (118 citations). Hee-Eun Lee has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Heui‐Soo Kim, Jin Yeul, Hee Ra Park, Won‐Kyung Cho, Ara Jo, Hwayong Park, Han Nim Lee, Jong‐Il Kim, Jang‐Gi Choi and Taijoon Chung. Their work appears in journals such as Gene, Scientific Reports, Molecules and Cells, Genes & Genetic Systems and Cell Reports.
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.