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 7
- Speech and dialogue systems 5
- Co-authors
- Jeongwu Lee (6 shared papers)Do‐Hyun Nam (6 shared papers)Kyeung Min Joo (5 shared papers)Nakho Chang (2 shared papers)Young Taek Oh (2 shared papers)Jihye Shin (1 shared paper)Ichiro Nakano (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)Cancer Cell (2 papers)Computers & Industrial Engineering (2 papers)PLoS ONE (2 papers)
- Partner nations
- South KoreaUnited StatesSingapore
In The Last Decade
Misuk Kim
44 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Genetics 385
- Cancer Research 397
- Oncology 447
- Molecular Biology 938
- Developmental Neuroscience 53
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 58 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 | 626 |
| 2 | 2008 | 350 | |
| 3 | 2013 | 170 | |
| 4 | 2011 | 123 | |
| 5 | 2022 | 43 | |
| 6 | 2019 | 33 | |
| 7 | 2005 | 21 | |
| 8 | 2005 | 19 | |
| 9 | 2015 | 19 | |
| 10 | 2023 | 18 | |
| 11 | 2021 | 18 | |
| 12 | 2011 | 18 | |
| 13 | 2017 | 17 | |
| 14 | 2004 | 17 | |
| 15 | 2005 | 15 | |
| 16 | 2003 | 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 | 2016 | 9 |
About Misuk Kim
Misuk Kim is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Sociology and Political Science, Information Systems and Molecular Biology, having authored 58 papers that have together received 1.7k indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Diverse Approaches in Healthcare and Education Studies (6 papers), Speech and dialogue systems (5 papers), Psychosocial Factors Impacting Youth (4 papers), Stock Market Forecasting Methods (4 papers), MicroRNA in disease regulation (4 papers), GaN-based semiconductor devices and materials (3 papers) and Education and Learning Interventions (3 papers). The work is most often cited by research in Genetics (385 citations), Cancer Research (397 citations), Oncology (447 citations), Molecular Biology (938 citations) and Developmental Neuroscience (53 citations). Misuk Kim has collaborated with scholars based in South Korea, United States and Singapore. Frequent co-authors include Jeongwu Lee, Do‐Hyun Nam, Kyeung Min Joo, Nakho Chang, Young Taek Oh, Jihye Shin, Ichiro Nakano, Dong‐Hun Woo, Cheolju Lee and Jeremy N. Rich. Their work appears in journals such as Expert Systems with Applications, The International Journal of the History of Sport, Cancer Cell, Computers & Industrial Engineering and PLoS ONE.
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.