Yong‐Jun Kwon
Impact in
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in
-
- RNA Interference and Gene Delivery 5
- Advanced biosensing and bioanalysis techniques 4
- Cell death mechanisms and regulation 4
-
- Edible Oils Quality and Analysis 4
- Co-authors
- Jin Yeop Kim (3 shared papers)Kyeong Sook Choi (2 shared papers)Mi Jin Yoon (1 shared paper)You‐Sun Kim (1 shared paper)Lúcio H. Freitas-Júnior (3 shared papers)Rita Song (2 shared papers)Keumhyun Kim (2 shared papers)Youngseon Choi (2 shared papers)
- Journals
- SLAS DISCOVERY (6 papers)Scientific Reports (4 papers)Cancers (2 papers)Infection and Immunity (1 paper)Oncotarget (1 paper)
- Partner nations
- South KoreaUnited StatesLuxembourg
In The Last Decade
Yong‐Jun Kwon
43 papers receiving 637 citations
Peers
Comparison fields: 5 of 96
- Biophysics 36
- Virology 24
- Oncology 111
- Molecular Biology 298
- Cancer Research 53
Countries citing papers authored by Yong‐Jun Kwon
This map shows the geographic impact of Yong‐Jun 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 Yong‐Jun Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yong‐Jun Kwon more than expected).
Fields of papers citing papers by Yong‐Jun Kwon
This network shows the impact of papers produced by Yong‐Jun 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 Yong‐Jun Kwon. The network helps show where Yong‐Jun Kwon may publish in the future.
Co-authors
The 25 scholars most cited alongside Yong‐Jun 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
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 127 | |
| 2 | 2014 | 50 | |
| 3 | 2011 | 44 | |
| 4 | 2011 | 44 | |
| 5 | 2015 | 43 | |
| 6 | 2021 | 33 | |
| 7 | 2022 | 28 | |
| 8 | 2011 | 28 | |
| 9 | 2021 | 27 | |
| 10 | 2023 | 16 | |
| 11 | 2014 | 14 | |
| 12 | 2015 | 14 | |
| 13 | 2022 | 14 | |
| 14 | 2019 | 13 | |
| 15 | 2012 | 11 | |
| 16 | 2009 | 11 | |
| 17 | 2025 | 11 | |
| 18 | 2017 | 10 | |
| 19 | 2024 | 9 | |
| 20 | 2017 | 8 |
About Yong‐Jun Kwon
Yong‐Jun Kwon is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Biophysics and Biomedical Engineering, having authored 53 papers that have together received 645 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (5 papers), Cancer Cells and Metastasis (5 papers), Cell Image Analysis Techniques (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Edible Oils Quality and Analysis (4 papers), Cell death mechanisms and regulation (4 papers), 3D Printing in Biomedical Research (4 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Biophysics (36 citations), Virology (24 citations), Oncology (111 citations), Molecular Biology (298 citations) and Cancer Research (53 citations). Yong‐Jun Kwon has collaborated with scholars based in South Korea, United States and Luxembourg. Frequent co-authors include Jin Yeop Kim, Kyeong Sook Choi, Mi Jin Yoon, You‐Sun Kim, Lúcio H. Freitas-Júnior, Rita Song, Keumhyun Kim, Youngseon Choi, Auguste Genovesio and Sukmin Hong. Their work appears in journals such as SLAS DISCOVERY, Scientific Reports, Cancers, Infection and Immunity and Oncotarget.
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.