Mi Kwon
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Neurology top 5%
- Barrier Structure and Function Studies
Papers in
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- Plant Gene Expression Analysis 9
- Epigenetics and DNA Methylation 8
- RNA modifications and cancer 6
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- Plant Molecular Biology Research 13
- Polysaccharides and Plant Cell Walls 8
- Co-authors
- Young Kee Shin (34 shared papers)Sunghwa Choe (7 shared papers)Norman Lewis (5 shared papers)Laurence Davin (5 shared papers)Yoon‐La Choi (15 shared papers)Vincent Burlat (1 shared paper)Ensel Oh (10 shared papers)Yoon‐La Choi (7 shared papers)
- Journals
- PLoS ONE (8 papers)Phytochemistry (5 papers)Frontiers in Oncology (4 papers)Cancer Research (3 papers)International Journal of Molecular Sciences (3 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Mi Kwon
83 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 126
- Cancer Research 526
- Neurology 226
- Plant Science 941
- Molecular Biology 1.6k
- Oncology 558
Countries citing papers authored by Mi Kwon
This map shows the geographic impact of Mi 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 Mi Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mi Kwon more than expected).
Fields of papers citing papers by Mi Kwon
This network shows the impact of papers produced by Mi 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 Mi Kwon. The network helps show where Mi Kwon may publish in the future.
Co-authors
The 25 scholars most cited alongside Mi 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 249 | |
| 2 | 2013 | 168 | |
| 3 | 2001 | 145 | |
| 4 | 2010 | 126 | |
| 5 | 2006 | 126 | |
| 6 | 2009 | 93 | |
| 7 | 2005 | 87 | |
| 8 | 2013 | 75 | |
| 9 | 2010 | 73 | |
| 10 | 2015 | 71 | |
| 11 | 2015 | 70 | |
| 12 | 2011 | 70 | |
| 13 | 2007 | 64 | |
| 14 | 2010 | 63 | |
| 15 | 2013 | 62 | |
| 16 | 2011 | 57 | |
| 17 | 2012 | 56 | |
| 18 | 2023 | 51 | |
| 19 | 2013 | 48 | |
| 20 | 2017 | 47 |
About Mi Kwon
Mi Kwon is a scholar working on Molecular Biology, Plant Science, Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 85 papers that have together received 2.8k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (13 papers), Cancer Cells and Metastasis (10 papers), Plant Gene Expression Analysis (9 papers), Polysaccharides and Plant Cell Walls (8 papers), Breast Cancer Treatment Studies (8 papers), Epigenetics and DNA Methylation (8 papers), Cancer Genomics and Diagnostics (7 papers) and RNA modifications and cancer (6 papers). The work is most often cited by research in Cancer Research (526 citations), Neurology (226 citations), Plant Science (941 citations), Molecular Biology (1.6k citations) and Oncology (558 citations). Mi Kwon has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Young Kee Shin, Sunghwa Choe, Norman Lewis, Laurence Davin, Yoon‐La Choi, Vincent Burlat, Ensel Oh, Yoon‐La Choi, Ho Bang Kim and Shozo Fujioka. Their work appears in journals such as PLoS ONE, Phytochemistry, Frontiers in Oncology, Cancer Research and International Journal of Molecular Sciences.
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.