Man Ryul Lee
Impact in
- Geriatrics and Gerontology top 5%
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Pluripotent Stem Cells Research 18
- CRISPR and Genetic Engineering 11
- Cell Biology 11
- Endoplasmic Reticulum Stress and Disease 6
- Co-authors
- Hal E. Broxmeyer (16 shared papers)Kye-Seong Kim (13 shared papers)Xinxin Huang (5 shared papers)Steven Messina‐Graham (3 shared papers)Xuan Ou (2 shared papers)Charlie Mantel (8 shared papers)Ho‐Sup Jung (1 shared paper)Hong Nam Kim (1 shared paper)
- Journals
- International Journal of Molecular Sciences (5 papers)Biomedicines (5 papers)Molecules and Cells (4 papers)Stem Cells (4 papers)Stem Cells and Development (3 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Man Ryul Lee
58 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 121
- Geriatrics and Gerontology 124
- Cancer Research 386
- Hematology 278
- Genetics 197
- Cell Biology 265
Countries citing papers authored by Man Ryul Lee
This map shows the geographic impact of Man Ryul 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 Man Ryul Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Man Ryul Lee more than expected).
Fields of papers citing papers by Man Ryul Lee
This network shows the impact of papers produced by Man Ryul 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 Man Ryul Lee. The network helps show where Man Ryul Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Man Ryul 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 275 | |
| 2 | 2010 | 266 | |
| 3 | 2015 | 238 | |
| 4 | 2009 | 123 | |
| 5 | 2011 | 114 | |
| 6 | 2007 | 107 | |
| 7 | 2018 | 104 | |
| 8 | 2012 | 73 | |
| 9 | 2022 | 61 | |
| 10 | 2010 | 55 | |
| 11 | 2022 | 44 | |
| 12 | 2008 | 44 | |
| 13 | 2011 | 36 | |
| 14 | 2016 | 33 | |
| 15 | 2017 | 33 | |
| 16 | 2022 | 31 | |
| 17 | 2017 | 25 | |
| 18 | 2019 | 25 | |
| 19 | 2022 | 24 | |
| 20 | 2011 | 23 |
About Man Ryul Lee
Man Ryul Lee is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Surgery and Biomedical Engineering, having authored 63 papers that have together received 2.1k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (18 papers), CRISPR and Genetic Engineering (11 papers), 3D Printing in Biomedical Research (8 papers), MicroRNA in disease regulation (7 papers), Mesenchymal stem cell research (6 papers), Endoplasmic Reticulum Stress and Disease (6 papers), Tissue Engineering and Regenerative Medicine (5 papers) and Intracranial Aneurysms: Treatment and Complications (4 papers). The work is most often cited by research in Geriatrics and Gerontology (124 citations), Cancer Research (386 citations), Hematology (278 citations), Genetics (197 citations) and Cell Biology (265 citations). Man Ryul Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Hal E. Broxmeyer, Kye-Seong Kim, Xinxin Huang, Steven Messina‐Graham, Xuan Ou, Charlie Mantel, Ho‐Sup Jung, Hong Nam Kim, Jong Soo Kim and Kahp Y. Suh. Their work appears in journals such as International Journal of Molecular Sciences, Biomedicines, Molecules and Cells, Stem Cells and Stem Cells and Development.
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.