Youngwon Lee
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
- Small Animals top 5%
- Veterinary Medicine and Surgery
Papers in
- Surgery 37
- Congenital gastrointestinal and neural anomalies 4
-
- Veterinary Oncology Research 9
- Co-authors
- Hojung Choi (77 shared papers)Oh‐Kyeong Kweon (3 shared papers)Wan Hee Kim (3 shared papers)Kyung‐Sun Kang (2 shared papers)Kija Lee (31 shared papers)Hee‐Chun Lee (21 shared papers)Min-Soo Seo (1 shared paper)Dongwoo Chang (13 shared papers)
- Journals
- Journal of Veterinary Science (11 papers)Veterinary Radiology & Ultrasound (11 papers)American Journal of Veterinary Research (4 papers)The American Journal of Chinese Medicine (2 papers)Journal of Veterinary Medical Science (17 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Youngwon Lee
83 papers receiving 768 citations
Peers
Comparison fields: 5 of 127
- Genetics 190
- Small Animals 104
- Communication 69
- Equine 15
- Urology 35
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 109 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 131 | |
| 2 | 2007 | 97 | |
| 3 | 2006 | 85 | |
| 4 | 2005 | 48 | |
| 5 | 2004 | 31 | |
| 6 | 2009 | 30 | |
| 7 | 2017 | 23 | |
| 8 | 2012 | 19 | |
| 9 | 2011 | 18 | |
| 10 | 2015 | 16 | |
| 11 | 2003 | 14 | |
| 12 | 2008 | 13 | |
| 13 | 2001 | 12 | |
| 14 | 2005 | 11 | |
| 15 | 2016 | 11 | |
| 16 | 2018 | 10 | |
| 17 | 2018 | 10 | |
| 18 | 2002 | 10 | |
| 19 | 2019 | 9 | |
| 20 | 2004 | 9 |
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 109 papers that have together received 819 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (11 papers), Veterinary Oncology Research (9 papers), Veterinary Medicine and Surgery (7 papers), Veterinary Orthopedics and Neurology (7 papers), Cardiovascular Conditions and Treatments (6 papers), Veterinary Equine Medical Research (5 papers), Liver Disease and Transplantation (5 papers) and Congenital gastrointestinal and neural anomalies (4 papers). The work is most often cited by research in Genetics (190 citations), Small Animals (104 citations), Communication (69 citations), Equine (15 citations) and Urology (35 citations). Youngwon Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Hojung Choi, Oh‐Kyeong Kweon, Wan Hee Kim, Kyung‐Sun Kang, Kija Lee, Hee‐Chun Lee, Min-Soo Seo, Dongwoo Chang, Jason Smith and Taejin Jung. Their work appears in journals such as Journal of Veterinary Science, Veterinary Radiology & Ultrasound, American Journal of Veterinary Research, The American Journal of Chinese Medicine and Journal of Veterinary Medical Science.
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.