Daekee Lee
Impact in
- Reproductive Medicine top 5%
- Ovarian function and disorders
- Immunology top 5%
- Invertebrate Immune Response Mechanisms
Papers in
-
- RNA Research and Splicing 6
- Bone Metabolism and Diseases 4
- Oncology 17
- HER2/EGFR in Cancer Research 5
- Cytokine Signaling Pathways and Interactions 4
- Co-authors
- David W. Threadgill (11 shared papers)Steven H. Quarfordt (1 shared paper)N. Maeda (1 shared paper)H. Li (1 shared paper)Jesús Osada (1 shared paper)Peter Oliver (1 shared paper)Glen K. Andrews (5 shared papers)Ruby Chen (1 shared paper)
- Journals
- Nature Communications (2 papers)Oncotarget (2 papers)Molecular and Cellular Biology (2 papers)Cancer Research (2 papers)Gastroenterology (2 papers)
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Daekee Lee
65 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 122
- Reproductive Medicine 179
- Immunology 405
- Nutrition and Dietetics 214
- Oncology 330
- Aging 23
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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 303 | |
| 2 | 1994 | 274 | |
| 3 | 2006 | 148 | |
| 4 | 2005 | 138 | |
| 5 | 2005 | 120 | |
| 6 | 2003 | 113 | |
| 7 | 2014 | 102 | |
| 8 | 2004 | 92 | |
| 9 | 1999 | 85 | |
| 10 | 2009 | 78 | |
| 11 | 2015 | 61 | |
| 12 | 1996 | 55 | |
| 13 | 2004 | 53 | |
| 14 | 2000 | 52 | |
| 15 | 2013 | 51 | |
| 16 | 2016 | 44 | |
| 17 | 2015 | 43 | |
| 18 | 2017 | 41 | |
| 19 | 2010 | 40 | |
| 20 | 2011 | 39 |
About Daekee Lee
Daekee Lee is a scholar working on Molecular Biology, Oncology, Genetics, Immunology and Pathology and Forensic Medicine, having authored 67 papers that have together received 2.5k indexed citations. Recurring topics across this work include RNA Research and Splicing (6 papers), HER2/EGFR in Cancer Research (5 papers), Trace Elements in Health (5 papers), Bone Metabolism and Diseases (4 papers), Cytokine Signaling Pathways and Interactions (4 papers), Virus-based gene therapy research (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers) and Heavy Metal Exposure and Toxicity (4 papers). The work is most often cited by research in Reproductive Medicine (179 citations), Immunology (405 citations), Nutrition and Dietetics (214 citations), Oncology (330 citations) and Aging (23 citations). Daekee Lee has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include David W. Threadgill, Steven H. Quarfordt, N. Maeda, H. Li, Jesús Osada, Peter Oliver, Glen K. Andrews, Ruby Chen, Sara Panigone and Marco Conti. Their work appears in journals such as Nature Communications, Oncotarget, Molecular and Cellular Biology, 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.