Daekee Kwon
Impact in
- Reproductive Medicine top 10%
- Sperm and Testicular Function
- Ovarian function and disorders
-
- Mesenchymal stem cell research
- Animal Genetics and Reproduction
Papers in
-
- Pluripotent Stem Cells Research 8
- CRISPR and Genetic Engineering 4
- Renal and related cancers 3
-
- Reproductive Biology and Fertility 5
- Co-authors
- Ok Jae Koo (7 shared papers)Goo Jang (7 shared papers)Joonho Moon (5 shared papers)Byeong-Chun Lee (5 shared papers)Jung Taek Kang (5 shared papers)Kyung‐Sun Kang (6 shared papers)Kwang‐Won Seo (3 shared papers)Seung Hee Lee (1 shared paper)
- Journals
- Journal of Veterinary Science (2 papers)Cellular Reprogramming (2 papers)Results and problems in cell differentiation (1 paper)Stem Cell Research & Therapy (1 paper)PLoS ONE (1 paper)
- Partner nations
- South KoreaPuerto RicoUnited States
In The Last Decade
Daekee Kwon
17 papers receiving 322 citations
Peers
Comparison fields: 5 of 66
- Reproductive Medicine 60
- Genetics 62
- Developmental Neuroscience 18
- Public Health, Environmental and Occupational Health 107
- Rehabilitation 18
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 | 54 | |
| 2 | 2018 | 52 | |
| 3 | 2009 | 45 | |
| 4 | 2011 | 38 | |
| 5 | 2016 | 36 | |
| 6 | 2012 | 27 | |
| 7 | 2011 | 15 | |
| 8 | 2016 | 12 | |
| 9 | 2020 | 9 | |
| 10 | 2019 | 9 | |
| 11 | 2016 | 7 | |
| 12 | 2013 | 6 | |
| 13 | 2018 | 5 | |
| 14 | 2015 | 4 | |
| 15 | 2025 | 3 | |
| 16 | 2020 | 3 | |
| 17 | 2013 | 1 |
About Daekee Kwon
Daekee Kwon is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Surgery, Genetics and Genetics, having authored 17 papers that have together received 326 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (8 papers), Reproductive Biology and Fertility (5 papers), CRISPR and Genetic Engineering (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 Seed Germination and Physiology (1 paper). The work is most often cited by research in Reproductive Medicine (60 citations), Genetics (62 citations), Developmental Neuroscience (18 citations), Public Health, Environmental and Occupational Health (107 citations) and Rehabilitation (18 citations). Daekee Kwon has collaborated with scholars based in South Korea, Puerto Rico and United States. Frequent co-authors include Ok Jae Koo, Goo Jang, Joonho Moon, Byeong-Chun Lee, Jung Taek Kang, Kyung‐Sun Kang, Kwang‐Won Seo, Seung Hee Lee, Sunghoon Lee and Inbo Han. Their work appears in journals such as Journal of Veterinary Science, Cellular Reprogramming, Results and problems in cell differentiation, Stem Cell Research & Therapy and PLoS ONE.
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.