Szu-Wei Lee
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 5%
- Ubiquitin and proteasome pathways
- PI3K/AKT/mTOR signaling in cancer
- RNA modifications and cancer
- Protein Degradation and Inhibitors
Papers in
- Oncology 7
- Cancer-related Molecular Pathways 6
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- Ubiquitin and proteasome pathways 7
- PI3K/AKT/mTOR signaling in cancer 6
- DNA Repair Mechanisms 3
- RNA modifications and cancer 2
- Metabolism, Diabetes, and Cancer 2
- Co-authors
- Hui‐Kuan Lin (12 shared papers)Chia‐Hsin Chan (10 shared papers)Wei-Lei Yang (7 shared papers)Betty Lamothe (2 shared papers)Bryant G. Darnay (2 shared papers)Alejandro D. Campos (2 shared papers)Jing Wang (3 shared papers)Jing Wang (1 shared paper)
- Journals
- Molecular Cell (2 papers)Cell (2 papers)Science (1 paper)Cell Cycle (1 paper)Blood (1 paper)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Szu-Wei Lee
13 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 80
- Cancer Research 475
- Molecular Biology 1.4k
- Oncology 379
- Cell Biology 190
- Immunology 183
Countries citing papers authored by Szu-Wei Lee
This map shows the geographic impact of Szu-Wei 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 Szu-Wei Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Szu-Wei Lee more than expected).
Fields of papers citing papers by Szu-Wei Lee
This network shows the impact of papers produced by Szu-Wei 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 Szu-Wei Lee. The network helps show where Szu-Wei Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Szu-Wei 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
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 522 | |
| 2 | 2012 | 359 | |
| 3 | 2016 | 254 | |
| 4 | 2011 | 123 | |
| 5 | 2010 | 97 | |
| 6 | 2015 | 96 | |
| 7 | 2015 | 93 | |
| 8 | 2015 | 74 | |
| 9 | 2011 | 72 | |
| 10 | 2011 | 49 | |
| 11 | 2012 | 42 | |
| 12 | 2015 | 35 | |
| 13 | 2014 | 14 |
About Szu-Wei Lee
Szu-Wei Lee is a scholar working on Oncology, Molecular Biology, Cancer Research, Cell Biology and Hematology, having authored 13 papers that have together received 1.8k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (7 papers), Cancer-related Molecular Pathways (6 papers), PI3K/AKT/mTOR signaling in cancer (6 papers), DNA Repair Mechanisms (3 papers), RNA modifications and cancer (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Cancer Mechanisms and Therapy (1 paper) and Hematopoietic Stem Cell Transplantation (1 paper). The work is most often cited by research in Cancer Research (475 citations), Molecular Biology (1.4k citations), Oncology (379 citations), Cell Biology (190 citations) and Immunology (183 citations). Szu-Wei Lee has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Hui‐Kuan Lin, Chia‐Hsin Chan, Wei-Lei Yang, Betty Lamothe, Bryant G. Darnay, Alejandro D. Campos, Jing Wang, Jing Wang, Brian C. Grabiner and Xin Lin. Their work appears in journals such as Molecular Cell, Cell, Science, Cell Cycle and Blood.
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.