Misu Lee
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
-
- Pituitary Gland Disorders and Treatments
Papers in
-
- Glycosylation and Glycoproteins Research 5
- Protein purification and stability 5
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- Monoclonal and Polyclonal Antibodies Research 14
- Co-authors
- Natalia S. Pellegata (15 shared papers)Mijin Yun (15 shared papers)Jae‐Chul Pyun (29 shared papers)Joachim Jose (22 shared papers)In-San Kim (1 shared paper)Hesson Chung (1 shared paper)Hyungkyu Park (1 shared paper)Kwangmeyung Kim (1 shared paper)
- Journals
- Enzyme and Microbial Technology (3 papers)Biosensors and Bioelectronics (3 papers)ACS Pharmacology & Translational Science (3 papers)International Journal of Biological Macromolecules (3 papers)Bioconjugate Chemistry (3 papers)
- Partner nations
- South KoreaGermanyItaly
In The Last Decade
Misu Lee
59 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 88
- Cancer Research 178
- Endocrinology, Diabetes and Metabolism 196
- Nephrology 58
- Oncology 192
- Neurology 101
Countries citing papers authored by Misu Lee
This map shows the geographic impact of Misu 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 Misu Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Misu Lee more than expected).
Fields of papers citing papers by Misu Lee
This network shows the impact of papers produced by Misu 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 Misu Lee. The network helps show where Misu Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Misu 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 216 | |
| 2 | 2010 | 86 | |
| 3 | 2013 | 67 | |
| 4 | 2014 | 58 | |
| 5 | 2015 | 52 | |
| 6 | 2018 | 38 | |
| 7 | 2011 | 36 | |
| 8 | 2016 | 36 | |
| 9 | 2010 | 35 | |
| 10 | 2013 | 35 | |
| 11 | 2017 | 32 | |
| 12 | 2020 | 27 | |
| 13 | 2022 | 26 | |
| 14 | 2017 | 26 | |
| 15 | 2021 | 26 | |
| 16 | 2020 | 25 | |
| 17 | 2022 | 22 | |
| 18 | 2021 | 20 | |
| 19 | 2024 | 19 | |
| 20 | 2013 | 19 |
About Misu Lee
Misu Lee is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cancer Research, Oncology and Epidemiology, having authored 62 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (15 papers), Monoclonal and Polyclonal Antibodies Research (14 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Neuroendocrine Tumor Research Advances (8 papers), Pituitary Gland Disorders and Treatments (7 papers), Glycosylation and Glycoproteins Research (5 papers), Protein purification and stability (5 papers) and Cancer, Lipids, and Metabolism (4 papers). The work is most often cited by research in Cancer Research (178 citations), Endocrinology, Diabetes and Metabolism (196 citations), Nephrology (58 citations), Oncology (192 citations) and Neurology (101 citations). Misu Lee has collaborated with scholars based in South Korea, Germany and Italy. Frequent co-authors include Natalia S. Pellegata, Mijin Yun, Jae‐Chul Pyun, Joachim Jose, In-San Kim, Hesson Chung, Hyungkyu Park, Kwangmeyung Kim, Ick Chan Kwon and Sung‐Won Kim. Their work appears in journals such as Enzyme and Microbial Technology, Biosensors and Bioelectronics, ACS Pharmacology & Translational Science, International Journal of Biological Macromolecules and Bioconjugate Chemistry.
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.