Hee-Eun Lee
Impact in
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- MicroRNA in disease regulation
Papers in
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- RNA and protein synthesis mechanisms 6
- Genomics and Phylogenetic Studies 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)Won‐Kyung Cho (5 shared papers)Hee Ra Park (4 shared papers)Ara Jo (10 shared papers)Han Nim Lee (1 shared paper)Jang‐Gi Choi (3 shared papers)Taijoon Chung (1 shared paper)
- Journals
- Gene (5 papers)Scientific Reports (4 papers)Frontiers in Pharmacology (1 paper)The American Journal of Chinese Medicine (1 paper)Molecular Neurobiology (1 paper)
- Partner nations
- South KoreaJapanUnited States
In The Last Decade
Hee-Eun Lee
45 papers receiving 830 citations
Peers
Comparison fields: 5 of 111
- Complementary and alternative medicine 65
- Cancer Research 84
- Immunology 116
- Pharmacology 47
- Oncology 128
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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 123 | |
| 2 | 2013 | 109 | |
| 3 | 2018 | 67 | |
| 4 | 2015 | 62 | |
| 5 | 2019 | 53 | |
| 6 | 2020 | 53 | |
| 7 | 2017 | 41 | |
| 8 | 2017 | 40 | |
| 9 | 2017 | 40 | |
| 10 | 2015 | 33 | |
| 11 | 2016 | 32 | |
| 12 | 2015 | 21 | |
| 13 | 2018 | 16 | |
| 14 | 2016 | 16 | |
| 15 | 2020 | 15 | |
| 16 | 2017 | 13 | |
| 17 | 2019 | 10 | |
| 18 | 2014 | 10 | |
| 19 | 2017 | 9 | |
| 20 | 2018 | 8 |
About Hee-Eun Lee
Hee-Eun Lee is a scholar working on Molecular Biology, Plant Science, Genetics, Cancer Research and Immunology, having authored 53 papers that have together received 852 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (9 papers), MicroRNA in disease regulation (9 papers), RNA and protein synthesis mechanisms (6 papers), Genomics and Phylogenetic Studies (4 papers), Human-Animal Interaction Studies (3 papers), RNA Research and Splicing (3 papers), CRISPR and Genetic Engineering (3 papers) and Aquaculture disease management and microbiota (3 papers). The work is most often cited by research in Complementary and alternative medicine (65 citations), Cancer Research (84 citations), Immunology (116 citations), Pharmacology (47 citations) and Oncology (128 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, Won‐Kyung Cho, Hee Ra Park, Ara Jo, Han Nim Lee, Jang‐Gi Choi, Taijoon Chung, Hwayong Park and Jeong‐An Gim. Their work appears in journals such as Gene, Scientific Reports, Frontiers in Pharmacology, The American Journal of Chinese Medicine and Molecular Neurobiology.
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.