Misuk Kim
Impact in
- Genetics top 2%
- Glioma Diagnosis and Treatment
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Topic Modeling 8
- Speech and dialogue systems 5
- Natural Language Processing Techniques 3
- Co-authors
- Jeongwu Lee (6 shared papers)Do‐Hyun Nam (6 shared papers)Kyeung Min Joo (5 shared papers)Young Taek Oh (2 shared papers)Nakho Chang (2 shared papers)Jeremy N. Rich (1 shared paper)Jihye Shin (1 shared paper)Dong‐Hun Woo (1 shared paper)
- Journals
- Expert Systems with Applications (6 papers)The International Journal of the History of Sport (3 papers)PLoS ONE (2 papers)Computers & Industrial Engineering (2 papers)Cancer Cell (2 papers)
- Partner nations
- South KoreaUnited StatesSpain
In The Last Decade
Misuk Kim
46 papers receiving 1.7k citations
Misuk Kim's Hit Papers
Peers
Comparison fields: 5 of 144
- Genetics 350
- Cancer Research 344
- Oncology 408
- Developmental Neuroscience 50
- Molecular Biology 878
Countries citing papers authored by Misuk Kim
This map shows the geographic impact of Misuk Kim'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 Misuk Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Misuk Kim more than expected).
Fields of papers citing papers by Misuk Kim
This network shows the impact of papers produced by Misuk Kim. 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 Misuk Kim. The network helps show where Misuk Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Misuk Kim, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Phosphorylation of EZH2 Activates STAT3 Signaling via STAT3 Methylation and Promotes Tumorigenicity of Glioblastoma Stem-like Cells Hit paper breakdown → | 2013 | 638 |
| 2 | 2008 | 350 | |
| 3 | 2013 | 175 | |
| 4 | 2011 | 124 | |
| 5 | 2022 | 49 | |
| 6 | 2019 | 33 | |
| 7 | 2023 | 21 | |
| 8 | 2005 | 21 | |
| 9 | 2005 | 19 | |
| 10 | 2017 | 19 | |
| 11 | 2015 | 19 | |
| 12 | 2021 | 18 | |
| 13 | 2011 | 17 | |
| 14 | 2004 | 17 | |
| 15 | 2003 | 15 | |
| 16 | 2005 | 15 | |
| 17 | 2022 | 13 | |
| 18 | Parental Ethnotheories of Child Development: Looking Beyond Independence and Individualism in American Belief Systems | 2005 | 11 |
| 19 | 2018 | 11 | |
| 20 | 2022 | 11 |
About Misuk Kim
Misuk Kim is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Sociology and Political Science, Molecular Biology and Information Systems, having authored 59 papers that have together received 1.7k indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Speech and dialogue systems (5 papers), Diverse Approaches in Healthcare and Education Studies (5 papers), Stock Market Forecasting Methods (4 papers), Psychosocial Factors Impacting Youth (4 papers), MicroRNA in disease regulation (4 papers), Natural Language Processing Techniques (3 papers) and ZnO doping and properties (3 papers). The work is most often cited by research in Genetics (350 citations), Cancer Research (344 citations), Oncology (408 citations), Developmental Neuroscience (50 citations) and Molecular Biology (878 citations). Misuk Kim has collaborated with scholars based in South Korea, United States and Spain. Frequent co-authors include Jeongwu Lee, Do‐Hyun Nam, Kyeung Min Joo, Young Taek Oh, Nakho Chang, Jeremy N. Rich, Jihye Shin, Dong‐Hun Woo, Cheolju Lee and Hong Kim. Their work appears in journals such as Expert Systems with Applications, The International Journal of the History of Sport, PLoS ONE, Computers & Industrial Engineering and Cancer 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.