Ming‐Shyue Lee
Impact in
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
- Cancer Research top 5%
- Protease and Inhibitor Mechanisms
Papers in
-
- Ubiquitin and proteasome pathways 4
- Protein Tyrosine Phosphatases 4
- Sphingolipid Metabolism and Signaling 3
-
- Prostate Cancer Treatment and Research 10
- Co-authors
- Ming‐Fong Lin (13 shared papers)Chen‐Yong Lin (11 shared papers)Michael D. Johnson (10 shared papers)Ken-ichi Kiyomiya (4 shared papers)Robert B. Dickson (4 shared papers)Tsukasa Igawa (4 shared papers)Fen‐Fen Lin (5 shared papers)Cheng‐Fan Lee (8 shared papers)
- Journals
- Oncogene (7 papers)American Journal of Physiology-Cell Physiology (7 papers)The Prostate (2 papers)American Journal Of Pathology (2 papers)PLoS ONE (2 papers)
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Ming‐Shyue Lee
47 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 98
- Immunology and Allergy 164
- Cancer Research 332
- Hepatology 147
- Hematology 149
- Molecular Biology 907
Countries citing papers authored by Ming‐Shyue Lee
This map shows the geographic impact of Ming‐Shyue 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 Ming‐Shyue Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Shyue Lee more than expected).
Fields of papers citing papers by Ming‐Shyue Lee
This network shows the impact of papers produced by Ming‐Shyue 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 Ming‐Shyue Lee. The network helps show where Ming‐Shyue Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming‐Shyue 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 156 | |
| 2 | 2010 | 141 | |
| 3 | 2005 | 128 | |
| 4 | 2015 | 120 | |
| 5 | 2003 | 118 | |
| 6 | 2017 | 93 | |
| 7 | 2011 | 81 | |
| 8 | 2005 | 70 | |
| 9 | 2007 | 69 | |
| 10 | 2001 | 65 | |
| 11 | 2009 | 60 | |
| 12 | 2000 | 59 | |
| 13 | 2005 | 51 | |
| 14 | 2006 | 49 | |
| 15 | 2003 | 48 | |
| 16 | 2013 | 39 | |
| 17 | 2003 | 38 | |
| 18 | 2001 | 37 | |
| 19 | 2020 | 36 | |
| 20 | 2019 | 35 |
About Ming‐Shyue Lee
Ming‐Shyue Lee is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Hepatology, Oncology and Immunology and Allergy, having authored 48 papers that have together received 1.9k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (10 papers), Liver physiology and pathology (9 papers), Cell Adhesion Molecules Research (7 papers), Ubiquitin and proteasome pathways (4 papers), Protein Tyrosine Phosphatases (4 papers), Protease and Inhibitor Mechanisms (4 papers), HER2/EGFR in Cancer Research (3 papers) and Sphingolipid Metabolism and Signaling (3 papers). The work is most often cited by research in Immunology and Allergy (164 citations), Cancer Research (332 citations), Hepatology (147 citations), Hematology (149 citations) and Molecular Biology (907 citations). Ming‐Shyue Lee has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Ming‐Fong Lin, Chen‐Yong Lin, Michael D. Johnson, Ken-ichi Kiyomiya, Robert B. Dickson, Tsukasa Igawa, Fen‐Fen Lin, Cheng‐Fan Lee, Chun‐Jung Ko and Jer‐Tsong Hsieh. Their work appears in journals such as Oncogene, American Journal of Physiology-Cell Physiology, The Prostate, American Journal Of Pathology 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.