Szu-Shuo Lee
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
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- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Research and Splicing
- Extracellular vesicles in disease
Papers in
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- TGF-β signaling in diseases 2
- RNA modifications and cancer 2
- RNA regulation and disease 2
- Extracellular vesicles in disease 1
- Epigenetics and DNA Methylation 1
- 14-3-3 protein interactions 1
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- Cancer, Lipids, and Metabolism 1
- Co-authors
- Yuh‐Shan Jou (7 shared papers)Hsi-wen Yeh (3 shared papers)Chieh-Yu Chang (3 shared papers)Yaw‐Dong Lang (3 shared papers)Yen‐Sung Huang (1 shared paper)Che‐Chang Chang (1 shared paper)Hsiu-Ming Shih (1 shared paper)Jou‐Ho Shih (2 shared papers)
- Journals
- Oncotarget (3 papers)Nature Cell Biology (1 paper)Cancer Research (1 paper)Computational and Structural Biotechnology Journal (1 paper)Molecular Carcinogenesis (1 paper)
- Partner nations
- TaiwanUnited States
In The Last Decade
Szu-Shuo Lee
7 papers receiving 414 citations
Peers
Comparison fields: 5 of 56
- Cancer Research 197
- Molecular Biology 288
- Oncology 94
- Immunology 30
- Biotechnology 11
Countries citing papers authored by Szu-Shuo Lee
This map shows the geographic impact of Szu-Shuo 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-Shuo 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-Shuo Lee more than expected).
Fields of papers citing papers by Szu-Shuo Lee
This network shows the impact of papers produced by Szu-Shuo 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-Shuo Lee. The network helps show where Szu-Shuo Lee may publish in the future.
Co-authors
The 24 scholars most cited alongside Szu-Shuo 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 | 2018 | 146 | |
| 2 | 2016 | 93 | |
| 3 | 2019 | 85 | |
| 4 | 2018 | 49 | |
| 5 | 2017 | 32 | |
| 6 | 2022 | 7 | |
| 7 | 2022 | 7 |
About Szu-Shuo Lee
Szu-Shuo Lee is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Oncology, having authored 7 papers that have together received 419 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (2 papers), RNA modifications and cancer (2 papers), RNA regulation and disease (2 papers), Extracellular vesicles in disease (1 paper), Ferroptosis and cancer prognosis (1 paper), Epigenetics and DNA Methylation (1 paper), 14-3-3 protein interactions (1 paper) and Cancer, Lipids, and Metabolism (1 paper). The work is most often cited by research in Cancer Research (197 citations), Molecular Biology (288 citations), Oncology (94 citations), Immunology (30 citations) and Biotechnology (11 citations). Szu-Shuo Lee has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Yuh‐Shan Jou, Hsi-wen Yeh, Chieh-Yu Chang, Yaw‐Dong Lang, Yen‐Sung Huang, Che‐Chang Chang, Hsiu-Ming Shih, Jou‐Ho Shih, Chiung-Tong Chen and En‐Chi Hsu. Their work appears in journals such as Oncotarget, Nature Cell Biology, Cancer Research, Computational and Structural Biotechnology Journal and Molecular Carcinogenesis.
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.