Szu-wei Tu
Impact in
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- Cancer-related molecular mechanisms research
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- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- RNA modifications and cancer
- Ion Transport and Channel Regulation
- Genomics and Chromatin Dynamics
- Ubiquitin and proteasome pathways
Papers in
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- Epigenetics and DNA Methylation 2
- Ion Transport and Channel Regulation 2
- Cancer-related gene regulation 2
- Ubiquitin and proteasome pathways 1
- Ion channel regulation and function 1
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- Prostate Cancer Treatment and Research 1
- Co-authors
- Jer‐Tsong Hsieh (3 shared papers)Hong Chen (1 shared paper)Melanie H. Cobb (2 shared papers)Katherine Luby‐Phelps (2 shared papers)Abhijit Bugde (1 shared paper)Ching‐Ping Tseng (2 shared papers)Chien‐Ling Huang (1 shared paper)Steve Stippec (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Cancer Research (2 papers)Blood (1 paper)Proceedings of the National Academy of Sciences (1 paper)Briefings in Bioinformatics (1 paper)
- Partner nations
- United StatesTaiwan
In The Last Decade
Szu-wei Tu
7 papers receiving 329 citations
Peers
Comparison fields: 5 of 45
- Cancer Research 64
- Molecular Biology 238
- Pulmonary and Respiratory Medicine 64
- Cell Biology 28
- Immunology and Allergy 8
Countries citing papers authored by Szu-wei Tu
This map shows the geographic impact of Szu-wei Tu'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 Tu 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 Tu more than expected).
Fields of papers citing papers by Szu-wei Tu
This network shows the impact of papers produced by Szu-wei Tu. 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 Tu. The network helps show where Szu-wei Tu may publish in the future.
Co-authors
The 25 scholars most cited alongside Szu-wei Tu, 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 | 2005 | 187 | |
| 2 | 2005 | 49 | |
| 3 | 2011 | 48 | |
| 4 | 2012 | 22 | |
| 5 | 2005 | 20 | |
| 6 | 2020 | 4 | |
| 7 | 2019 | 3 |
About Szu-wei Tu
Szu-wei Tu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Genetics, Neurology and Endocrinology, Diabetes and Metabolism, having authored 7 papers that have together received 333 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (2 papers), Ion Transport and Channel Regulation (2 papers), Cancer-related gene regulation (2 papers), Estrogen and related hormone effects (1 paper), Prostate Cancer Treatment and Research (1 paper), Ubiquitin and proteasome pathways (1 paper), Genetic Syndromes and Imprinting (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Cancer Research (64 citations), Molecular Biology (238 citations), Pulmonary and Respiratory Medicine (64 citations), Cell Biology (28 citations) and Immunology and Allergy (8 citations). Szu-wei Tu has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Jer‐Tsong Hsieh, Hong Chen, Melanie H. Cobb, Katherine Luby‐Phelps, Abhijit Bugde, Ching‐Ping Tseng, Chien‐Ling Huang, Steve Stippec, Hong Chen and Jian Zhou. Their work appears in journals such as Journal of Biological Chemistry, Cancer Research, Blood, Proceedings of the National Academy of Sciences and Briefings in Bioinformatics.
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.