Mi Kwon Son
Impact in
- Oncology top 10%
- Pancreatic and Hepatic Oncology Research
- Cancer Cells and Metastasis
- CAR-T cell therapy research
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- Cancer, Hypoxia, and Metabolism
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 10
- Natural product bioactivities and synthesis 4
- Oncology 15
- Pancreatic and Hepatic Oncology Research 9
- Cancer Cells and Metastasis 4
- Co-authors
- Kyung Hee Jung (32 shared papers)Soon‐Sun Hong (29 shared papers)Hong Yan (22 shared papers)Hyunseung Lee (12 shared papers)Sungwoo Hong (11 shared papers)Zhenghuan Fang (13 shared papers)Sang‐Won Hong (7 shared papers)Hee Seung Lee (5 shared papers)
- Journals
- Cancer Letters (11 papers)Oncotarget (5 papers)Cancer Research (4 papers)International Journal of Oncology (4 papers)Scientific Reports (2 papers)
- Partner nations
- South KoreaChinaVietnam
In The Last Decade
Mi Kwon Son
40 papers receiving 845 citations
Peers
Comparison fields: 5 of 81
- Oncology 270
- Cancer Research 107
- Hepatology 55
- Molecular Biology 381
- Toxicology 16
Countries citing papers authored by Mi Kwon Son
This map shows the geographic impact of Mi Kwon Son'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 Son 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 Son more than expected).
Fields of papers citing papers by Mi Kwon Son
This network shows the impact of papers produced by Mi Kwon Son. 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 Son. The network helps show where Mi Kwon Son may publish in the future.
Co-authors
The 25 scholars most cited alongside Mi Kwon Son, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 71 | |
| 2 | 2017 | 64 | |
| 3 | 2017 | 52 | |
| 4 | 2012 | 47 | |
| 5 | 2012 | 47 | |
| 6 | 2013 | 46 | |
| 7 | 2018 | 40 | |
| 8 | 2012 | 37 | |
| 9 | 2013 | 36 | |
| 10 | 2016 | 36 | |
| 11 | 2013 | 35 | |
| 12 | 2014 | 31 | |
| 13 | 2017 | 31 | |
| 14 | 2013 | 28 | |
| 15 | 2020 | 24 | |
| 16 | 2014 | 22 | |
| 17 | 2012 | 21 | |
| 18 | 2021 | 20 | |
| 19 | 2013 | 16 | |
| 20 | 2014 | 16 |
About Mi Kwon Son
Mi Kwon Son is a scholar working on Molecular Biology, Oncology, Cancer Research, Genetics and Pathology and Forensic Medicine, having authored 41 papers that have together received 859 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (10 papers), Pancreatic and Hepatic Oncology Research (9 papers), Cancer, Hypoxia, and Metabolism (7 papers), Cancer Mechanisms and Therapy (6 papers), Chronic Lymphocytic Leukemia Research (6 papers), Cancer Cells and Metastasis (4 papers), Natural product bioactivities and synthesis (4 papers) and Chronic Myeloid Leukemia Treatments (4 papers). The work is most often cited by research in Oncology (270 citations), Cancer Research (107 citations), Hepatology (55 citations), Molecular Biology (381 citations) and Toxicology (16 citations). Mi Kwon Son has collaborated with scholars based in South Korea, China and Vietnam. Frequent co-authors include Kyung Hee Jung, Soon‐Sun Hong, Hong Yan, Hyunseung Lee, Sungwoo Hong, Zhenghuan Fang, Sang‐Won Hong, Hee Seung Lee, Jung Hee Park and Hee‐Seung Lee. Their work appears in journals such as Cancer Letters, Oncotarget, Cancer Research, International Journal of Oncology and Scientific Reports.
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.