Jun-Won Yun
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
- Pharmacology top 5%
- Drug-Induced Hepatotoxicity and Protection
Papers in
-
- Carcinogens and Genotoxicity Assessment 15
- Pharmacology 11
- Drug-Induced Hepatotoxicity and Protection 10
- Co-authors
- Byeong-Cheol Kang (29 shared papers)Jeong‐Hwan Che (22 shared papers)Euna Kwon (25 shared papers)Kyung‐Sun Kang (6 shared papers)Kyung‐Min Lim (14 shared papers)Mohamed A. Abdelmegeed (2 shared papers)Atrayee Banerjee (2 shared papers)Byoung‐Joon Song (2 shared papers)
- Journals
- Regulatory Toxicology and Pharmacology (12 papers)Free Radical Biology and Medicine (6 papers)Pharmaceutics (4 papers)Food and Chemical Toxicology (3 papers)Cell Biology and Toxicology (2 papers)
- Partner nations
- South KoreaUnited StatesAustralia
In The Last Decade
Jun-Won Yun
86 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 105
- Genetics 170
- Pharmacology 114
- Dermatology 94
- Pathology and Forensic Medicine 191
- Sensory Systems 40
Countries citing papers authored by Jun-Won Yun
This map shows the geographic impact of Jun-Won Yun'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 Jun-Won Yun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun-Won Yun more than expected).
Fields of papers citing papers by Jun-Won Yun
This network shows the impact of papers produced by Jun-Won Yun. 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 Jun-Won Yun. The network helps show where Jun-Won Yun may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun-Won Yun, 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 176 | |
| 2 | 2014 | 154 | |
| 3 | 2011 | 79 | |
| 4 | 2019 | 51 | |
| 5 | 2009 | 48 | |
| 6 | 2013 | 48 | |
| 7 | 2014 | 47 | |
| 8 | 2015 | 47 | |
| 9 | 2016 | 42 | |
| 10 | 2018 | 41 | |
| 11 | 2002 | 36 | |
| 12 | 2007 | 34 | |
| 13 | 2015 | 31 | |
| 14 | 2018 | 30 | |
| 15 | 2008 | 28 | |
| 16 | 2016 | 25 | |
| 17 | 2020 | 25 | |
| 18 | 2001 | 23 | |
| 19 | 2022 | 23 | |
| 20 | 2016 | 22 |
About Jun-Won Yun
Jun-Won Yun is a scholar working on Cancer Research, Pharmacology, Infectious Diseases, Small Animals and Dermatology, having authored 89 papers that have together received 1.5k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (15 papers), SARS-CoV-2 and COVID-19 Research (13 papers), Drug-Induced Hepatotoxicity and Protection (10 papers), Animal testing and alternatives (7 papers), Dermatology and Skin Diseases (4 papers), Mesenchymal stem cell research (4 papers), Phytochemistry Medicinal Plant Applications (4 papers) and Pancreatic function and diabetes (3 papers). The work is most often cited by research in Genetics (170 citations), Pharmacology (114 citations), Dermatology (94 citations), Pathology and Forensic Medicine (191 citations) and Sensory Systems (40 citations). Jun-Won Yun has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include Byeong-Cheol Kang, Jeong‐Hwan Che, Euna Kwon, Kyung‐Sun Kang, Kyung‐Min Lim, Mohamed A. Abdelmegeed, Atrayee Banerjee, Byoung‐Joon Song, Xin Gen Lei and Sehwan Jang. Their work appears in journals such as Regulatory Toxicology and Pharmacology, Free Radical Biology and Medicine, Pharmaceutics, Food and Chemical Toxicology and Cell Biology and Toxicology.
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.