Mi‐Ock Lee
Impact in
- Biochemistry top 2%
- Antioxidant Activity and Oxidative Stress
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Retinoids in leukemia and cellular processes 23
- Histone Deacetylase Inhibitors Research 8
- Genetics 23
- Estrogen and related hormone effects 20
- Co-authors
- Young‐Gun Yoo (8 shared papers)Norman E. Sládek (4 shared papers)Yi Liu (4 shared papers)Gu Kong (10 shared papers)Xiao-kun Zhang (6 shared papers)Magnus Pfahl (7 shared papers)Je Kyung Seong (10 shared papers)Hyelin Na (8 shared papers)
- Journals
- Life Sciences (6 papers)Cancer Research (5 papers)Molecular and Cellular Endocrinology (5 papers)Molecular and Cellular Biology (5 papers)Toxicology (4 papers)
- Partner nations
- South KoreaUnited StatesPuerto Rico
In The Last Decade
Mi‐Ock Lee
112 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 122
- Biochemistry 303
- Cancer Research 667
- Molecular Biology 2.8k
- Hepatology 244
- Genetics 893
Countries citing papers authored by Mi‐Ock Lee
This map shows the geographic impact of Mi‐Ock Lee'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‐Ock Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mi‐Ock Lee more than expected).
Fields of papers citing papers by Mi‐Ock Lee
This network shows the impact of papers produced by Mi‐Ock Lee. 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‐Ock Lee. The network helps show where Mi‐Ock Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Mi‐Ock Lee, 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 113 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 299 | |
| 2 | 1992 | 223 | |
| 3 | 2006 | 182 | |
| 4 | 2003 | 148 | |
| 5 | 2004 | 147 | |
| 6 | 1992 | 141 | |
| 7 | 1991 | 140 | |
| 8 | 2008 | 132 | |
| 9 | 2019 | 122 | |
| 10 | A specific defect in the retinoic acid response associated with human lung cancer cell lines. | 1994 | 104 |
| 11 | 2002 | 103 | |
| 12 | 2007 | 83 | |
| 13 | 1999 | 80 | |
| 14 | 1994 | 74 | |
| 15 | 2008 | 74 | |
| 16 | 1995 | 72 | |
| 17 | 2017 | 71 | |
| 18 | 1996 | 70 | |
| 19 | 2014 | 70 | |
| 20 | 2014 | 69 |
About Mi‐Ock Lee
Mi‐Ock Lee is a scholar working on Molecular Biology, Genetics, Cancer Research, Epidemiology and Immunology, having authored 113 papers that have together received 4.8k indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (23 papers), Estrogen and related hormone effects (20 papers), Nuclear Receptors and Signaling (12 papers), Cancer, Hypoxia, and Metabolism (10 papers), Liver Disease Diagnosis and Treatment (9 papers), Histone Deacetylase Inhibitors Research (8 papers), Cholesterol and Lipid Metabolism (6 papers) and Hepatitis B Virus Studies (5 papers). The work is most often cited by research in Biochemistry (303 citations), Cancer Research (667 citations), Molecular Biology (2.8k citations), Hepatology (244 citations) and Genetics (893 citations). Mi‐Ock Lee has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Young‐Gun Yoo, Norman E. Sládek, Yi Liu, Gu Kong, Xiao-kun Zhang, Magnus Pfahl, Je Kyung Seong, Hyelin Na, Tae‐Young Na and Yong‐Hyun Han. Their work appears in journals such as Life Sciences, Cancer Research, Molecular and Cellular Endocrinology, Molecular and Cellular Biology and Toxicology.
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.