Daekee Kwon
Impact in
- Reproductive Medicine top 10%
- Sperm and Testicular Function
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- Mesenchymal stem cell research
- Animal Genetics and Reproduction
Papers in
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- Pluripotent Stem Cells Research 8
- CRISPR and Genetic Engineering 4
- Renal and related cancers 3
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- Reproductive Biology and Fertility 4
- Co-authors
- Ok Jae Koo (6 shared papers)Goo Jang (6 shared papers)Byeong-Chun Lee (4 shared papers)Joonho Moon (4 shared papers)Jung Taek Kang (4 shared papers)Kyung‐Sun Kang (6 shared papers)Kwang‐Won Seo (3 shared papers)Sunghoon Lee (1 shared paper)
- Journals
- Cellular Reprogramming (2 papers)Journal of Veterinary Science (2 papers)Stem Cell Reviews and Reports (2 papers)Archives of Pharmacal Research (1 paper)Stem Cell Research & Therapy (1 paper)
- Partner nations
- South KoreaPuerto RicoEthiopia
In The Last Decade
Daekee Kwon
16 papers receiving 315 citations
Peers
Comparison fields: 5 of 65
- Reproductive Medicine 56
- Genetics 65
- Developmental Neuroscience 18
- Public Health, Environmental and Occupational Health 101
- Rehabilitation 19
Countries citing papers authored by Daekee Kwon
This map shows the geographic impact of Daekee Kwon'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 Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daekee Kwon more than expected).
Fields of papers citing papers by Daekee Kwon
This network shows the impact of papers produced by Daekee Kwon. 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 Kwon. The network helps show where Daekee Kwon may publish in the future.
Co-authors
The 25 scholars most cited alongside Daekee Kwon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 57 | |
| 2 | 2018 | 54 | |
| 3 | 2009 | 48 | |
| 4 | 2016 | 38 | |
| 5 | 2011 | 38 | |
| 6 | 2012 | 28 | |
| 7 | 2016 | 12 | |
| 8 | 2019 | 11 | |
| 9 | 2020 | 9 | |
| 10 | 2016 | 8 | |
| 11 | 2013 | 6 | |
| 12 | 2015 | 4 | |
| 13 | 2018 | 4 | |
| 14 | 2025 | 3 | |
| 15 | 2020 | 2 | |
| 16 | 2013 | 1 |
About Daekee Kwon
Daekee Kwon is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Genetics, Developmental Neuroscience and Virology, having authored 16 papers that have together received 323 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (8 papers), CRISPR and Genetic Engineering (4 papers), Reproductive Biology and Fertility (4 papers), Renal and related cancers (3 papers), Animal Genetics and Reproduction (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Mesenchymal stem cell research (2 papers) and Electrospun Nanofibers in Biomedical Applications (1 paper). The work is most often cited by research in Reproductive Medicine (56 citations), Genetics (65 citations), Developmental Neuroscience (18 citations), Public Health, Environmental and Occupational Health (101 citations) and Rehabilitation (19 citations). Daekee Kwon has collaborated with scholars based in South Korea, Puerto Rico and Ethiopia. Frequent co-authors include Ok Jae Koo, Goo Jang, Byeong-Chun Lee, Joonho Moon, Jung Taek Kang, Kyung‐Sun Kang, Kwang‐Won Seo, Sunghoon Lee, Seung Hee Lee and Soo‐Hong Lee. Their work appears in journals such as Cellular Reprogramming, Journal of Veterinary Science, Stem Cell Reviews and Reports, Archives of Pharmacal Research and Stem Cell Research & Therapy.
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.