Youngwon Lee
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
- Small Animals top 5%
- Veterinary Medicine and Surgery
Papers in
- Surgery 34
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- Veterinary Oncology Research 9
- Renal and Vascular Pathologies 5
- Co-authors
- Hojung Choi (77 shared papers)Ye-Eun Byeon (2 shared papers)Hak-Hyun Ryu (3 shared papers)Wan Hee Kim (3 shared papers)Kyung‐Sun Kang (2 shared papers)Oh‐Kyeong Kweon (3 shared papers)Kija Lee (32 shared papers)Hee‐Chun Lee (22 shared papers)
- Journals
- Veterinary Radiology & Ultrasound (11 papers)Journal of Veterinary Science (11 papers)American Journal of Veterinary Research (4 papers)The American Journal of Chinese Medicine (2 papers)Journal of Veterinary Internal Medicine (2 papers)
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Youngwon Lee
88 papers receiving 840 citations
Peers
Comparison fields: 5 of 127
- Genetics 197
- Small Animals 101
- Communication 72
- Equine 11
- Urology 33
Countries citing papers authored by Youngwon Lee
This map shows the geographic impact of Youngwon 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 Youngwon Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Youngwon Lee more than expected).
Fields of papers citing papers by Youngwon Lee
This network shows the impact of papers produced by Youngwon 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 Youngwon Lee. The network helps show where Youngwon Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Youngwon 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 113 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 143 | |
| 2 | 2007 | 111 | |
| 3 | 2006 | 91 | |
| 4 | 2005 | 50 | |
| 5 | 2009 | 34 | |
| 6 | 2004 | 31 | |
| 7 | 2017 | 24 | |
| 8 | 2012 | 22 | |
| 9 | 2003 | 18 | |
| 10 | 2015 | 18 | |
| 11 | 2011 | 18 | |
| 12 | 2005 | 16 | |
| 13 | 2001 | 13 | |
| 14 | 2008 | 13 | |
| 15 | 2016 | 13 | |
| 16 | 2018 | 11 | |
| 17 | 2004 | 10 | |
| 18 | 2016 | 10 | |
| 19 | 2018 | 10 | |
| 20 | 2002 | 10 |
About Youngwon Lee
Youngwon Lee is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Small Animals and Molecular Biology, having authored 113 papers that have together received 912 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (9 papers), Veterinary Oncology Research (9 papers), Veterinary Orthopedics and Neurology (8 papers), Veterinary Medicine and Surgery (7 papers), Liver Disease and Transplantation (5 papers), Cardiovascular Conditions and Treatments (5 papers), Renal and Vascular Pathologies (5 papers) and Pediatric Urology and Nephrology Studies (5 papers). The work is most often cited by research in Genetics (197 citations), Small Animals (101 citations), Communication (72 citations), Equine (11 citations) and Urology (33 citations). Youngwon Lee has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Hojung Choi, Ye-Eun Byeon, Hak-Hyun Ryu, Wan Hee Kim, Kyung‐Sun Kang, Oh‐Kyeong Kweon, Kija Lee, Hee‐Chun Lee, Min-Soo Seo and Jason Smith. Their work appears in journals such as Veterinary Radiology & Ultrasound, Journal of Veterinary Science, American Journal of Veterinary Research, The American Journal of Chinese Medicine and Journal of Veterinary Internal Medicine.
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.