Mijung Kwon
Impact in
- Cell Biology top 0.5%
- Microtubule and mitosis dynamics
- Cancer Research top 5%
- Protease and Inhibitor Mechanisms
Papers in
-
- Epigenetics and DNA Methylation 7
- Genomics and Chromatin Dynamics 6
- Wnt/β-catenin signaling in development and cancer 5
- S100 Proteins and Annexins 4
- Cancer-related gene regulation 4
- Cell Biology 19
- Microtubule and mitosis dynamics 17
- Hippo pathway signaling and YAP/TAZ 5
- Co-authors
- David Pellman (9 shared papers)Susana A. Godinho (2 shared papers)Namrata S. Chandhok (1 shared paper)Manuel Théry (1 shared paper)Neil J. Ganem (1 shared paper)Ammar Azioune (1 shared paper)Jonathan M. Scholey (3 shared papers)Steven K. Libutti (15 shared papers)
- Journals
- Journal of Biological Chemistry (5 papers)PLoS ONE (2 papers)Molecular Biology of the Cell (2 papers)Cancer Research (2 papers)Molecular Cell (1 paper)
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Mijung Kwon
46 papers receiving 2.6k citations
Mijung Kwon's Hit Papers
Peers
Comparison fields: 5 of 123
- Cell Biology 1.3k
- Cancer Research 430
- Molecular Biology 1.9k
- Oncology 435
- Hematology 119
Countries citing papers authored by Mijung Kwon
This map shows the geographic impact of Mijung 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 Mijung Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mijung Kwon more than expected).
Fields of papers citing papers by Mijung Kwon
This network shows the impact of papers produced by Mijung 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 Mijung Kwon. The network helps show where Mijung Kwon may publish in the future.
Co-authors
The 25 scholars most cited alongside Mijung 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mechanisms to suppress multipolar divisions in cancer cells with extra centrosomes Hit paper breakdown → | 2008 | 514 |
| 2 | 2018 | 236 | |
| 3 | 2000 | 194 | |
| 4 | 2010 | 181 | |
| 5 | 2005 | 146 | |
| 6 | 2009 | 144 | |
| 7 | 2008 | 114 | |
| 8 | 2016 | 105 | |
| 9 | 2014 | 102 | |
| 10 | 2003 | 100 | |
| 11 | 2010 | 91 | |
| 12 | 2020 | 85 | |
| 13 | 2015 | 80 | |
| 14 | 2020 | 67 | |
| 15 | 2003 | 58 | |
| 16 | 2013 | 49 | |
| 17 | 2008 | 39 | |
| 18 | 2004 | 37 | |
| 19 | 2002 | 35 | |
| 20 | 2001 | 30 |
About Mijung Kwon
Mijung Kwon is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Oncology and Hematology, having authored 47 papers that have together received 2.7k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (17 papers), Epigenetics and DNA Methylation (7 papers), Genomics and Chromatin Dynamics (6 papers), Wnt/β-catenin signaling in development and cancer (5 papers), Hippo pathway signaling and YAP/TAZ (5 papers), Protease and Inhibitor Mechanisms (5 papers), S100 Proteins and Annexins (4 papers) and Cancer-related gene regulation (4 papers). The work is most often cited by research in Cell Biology (1.3k citations), Cancer Research (430 citations), Molecular Biology (1.9k citations), Oncology (435 citations) and Hematology (119 citations). Mijung Kwon has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include David Pellman, Susana A. Godinho, Namrata S. Chandhok, Manuel Théry, Neil J. Ganem, Ammar Azioune, Jonathan M. Scholey, Steven K. Libutti, David M. Waisman and David Sharp. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE, Molecular Biology of the Cell, Cancer Research and Molecular Cell.
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.