Daekee Lee
Impact in
- Reproductive Medicine top 5%
- Ovarian function and disorders
- Immunology top 10%
- Invertebrate Immune Response Mechanisms
Papers in
-
- RNA Research and Splicing 6
- CRISPR and Genetic Engineering 4
- Oncology 16
- Cytokine Signaling Pathways and Interactions 4
- HER2/EGFR in Cancer Research 4
- Co-authors
- David W. Threadgill (11 shared papers)Jesús Osada (1 shared paper)Peter Oliver (1 shared paper)N. Maeda (1 shared paper)Steven H. Quarfordt (1 shared paper)H. Li (1 shared paper)Glen K. Andrews (5 shared papers)Alekos A. Theologis (1 shared paper)
- Journals
- Nature Communications (2 papers)Cancers (2 papers)Oncotarget (2 papers)Cancer Research (2 papers)Gastroenterology (2 papers)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Daekee Lee
63 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 124
- Reproductive Medicine 171
- Immunology 414
- Aging 23
- Nutrition and Dietetics 200
- Cancer Research 196
Countries citing papers authored by Daekee Lee
This map shows the geographic impact of Daekee 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 Daekee Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daekee Lee more than expected).
Fields of papers citing papers by Daekee Lee
This network shows the impact of papers produced by Daekee 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 Daekee Lee. The network helps show where Daekee Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Daekee 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 280 | |
| 2 | 1994 | 264 | |
| 3 | 2006 | 145 | |
| 4 | 2005 | 131 | |
| 5 | 2005 | 111 | |
| 6 | 2003 | 110 | |
| 7 | 2014 | 98 | |
| 8 | 2004 | 86 | |
| 9 | 1999 | 84 | |
| 10 | 2009 | 73 | |
| 11 | 2015 | 59 | |
| 12 | 2004 | 50 | |
| 13 | 2013 | 48 | |
| 14 | 1996 | 47 | |
| 15 | 2000 | 47 | |
| 16 | 2016 | 43 | |
| 17 | 2015 | 43 | |
| 18 | 2017 | 40 | |
| 19 | 2011 | 39 | |
| 20 | 2010 | 38 |
About Daekee Lee
Daekee Lee is a scholar working on Molecular Biology, Oncology, Genetics, Immunology and Pathology and Forensic Medicine, having authored 66 papers that have together received 2.3k indexed citations. Recurring topics across this work include RNA Research and Splicing (6 papers), Trace Elements in Health (5 papers), Cytokine Signaling Pathways and Interactions (4 papers), Genetic factors in colorectal cancer (4 papers), HER2/EGFR in Cancer Research (4 papers), CRISPR and Genetic Engineering (4 papers), Reproductive Biology and Fertility (4 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers). The work is most often cited by research in Reproductive Medicine (171 citations), Immunology (414 citations), Aging (23 citations), Nutrition and Dietetics (200 citations) and Cancer Research (196 citations). Daekee Lee has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include David W. Threadgill, Jesús Osada, Peter Oliver, N. Maeda, Steven H. Quarfordt, H. Li, Glen K. Andrews, Alekos A. Theologis, Sara Panigone and Minnie Hsieh. Their work appears in journals such as Nature Communications, Cancers, Oncotarget, Cancer Research and Gastroenterology.
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.