Yeup Yoon
Impact in
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism
- Protease and Inhibitor Mechanisms
- Nephrology top 10%
Papers in
-
- Angiogenesis and VEGF in Cancer 9
- Viral Infectious Diseases and Gene Expression in Insects 5
- RNA Interference and Gene Delivery 4
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- Protease and Inhibitor Mechanisms 6
- Co-authors
- Jang‐Seong Kim (6 shared papers)Soon Won Hong (5 shared papers)Doo-Hong Park (4 shared papers)Meehyein Kim (3 shared papers)Duckhyang Shin (3 shared papers)Hyeon Lee (3 shared papers)Soo In Kim (3 shared papers)Kwanghee Baek (4 shared papers)
- Journals
- Cancer Research (3 papers)Journal of Biotechnology (2 papers)Vaccine (2 papers)Biochemical and Biophysical Research Communications (2 papers)Biotechnology Progress (2 papers)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Yeup Yoon
38 papers receiving 874 citations
Peers
Comparison fields: 5 of 101
- Cancer Research 181
- Nephrology 48
- Molecular Biology 495
- Immunology 105
- Virology 21
Countries citing papers authored by Yeup Yoon
This map shows the geographic impact of Yeup Yoon'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 Yeup Yoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yeup Yoon more than expected).
Fields of papers citing papers by Yeup Yoon
This network shows the impact of papers produced by Yeup Yoon. 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 Yeup Yoon. The network helps show where Yeup Yoon may publish in the future.
Co-authors
The 25 scholars most cited alongside Yeup Yoon, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 100 | |
| 2 | 2003 | 94 | |
| 3 | 2003 | 80 | |
| 4 | 2011 | 68 | |
| 5 | 2008 | 67 | |
| 6 | 2003 | 39 | |
| 7 | 2008 | 35 | |
| 8 | 2004 | 33 | |
| 9 | 2021 | 31 | |
| 10 | 2011 | 30 | |
| 11 | 2005 | 26 | |
| 12 | 2009 | 25 | |
| 13 | 2013 | 24 | |
| 14 | 2006 | 23 | |
| 15 | 2011 | 23 | |
| 16 | 2004 | 22 | |
| 17 | 2012 | 19 | |
| 18 | 2009 | 18 | |
| 19 | 2004 | 18 | |
| 20 | 2018 | 14 |
About Yeup Yoon
Yeup Yoon is a scholar working on Molecular Biology, Cancer Research, Oncology, Epidemiology and Genetics, having authored 38 papers that have together received 910 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (9 papers), Protease and Inhibitor Mechanisms (6 papers), Virus-based gene therapy research (6 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), RNA Interference and Gene Delivery (4 papers), Influenza Virus Research Studies (4 papers), Cell Adhesion Molecules Research (3 papers) and Blood Coagulation and Thrombosis Mechanisms (3 papers). The work is most often cited by research in Cancer Research (181 citations), Nephrology (48 citations), Molecular Biology (495 citations), Immunology (105 citations) and Virology (21 citations). Yeup Yoon has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Jang‐Seong Kim, Soon Won Hong, Doo-Hong Park, Meehyein Kim, Duckhyang Shin, Hyeon Lee, Soo In Kim, Kwanghee Baek, Jaeseung Yoon and Eun‐Kyoung Lee. Their work appears in journals such as Cancer Research, Journal of Biotechnology, Vaccine, Biochemical and Biophysical Research Communications and Biotechnology Progress.
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.