Chun‐Te Wu
Impact in
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- Prostate Cancer Treatment and Research
- Prostate Cancer Diagnosis and Treatment
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Cancer survivorship and care
Papers in
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- Prostate Cancer Treatment and Research 16
- Prostate Cancer Diagnosis and Treatment 7
- Kidney Stones and Urolithiasis Treatments 2
- Urology 7
- Urinary Bladder and Prostate Research 6
- Co-authors
- Miao‐Fen Chen (33 shared papers)Wen‐Cheng Chen (26 shared papers)Chawnshang Chang (5 shared papers)Ying‐Hsu Chang (20 shared papers)Shuyuan Yeh (4 shared papers)Wei‐Yu Lin (7 shared papers)Ching‐Chuan Hsieh (5 shared papers)Saleh Altuwaijri (3 shared papers)
- Journals
- Cancers (6 papers)Tumor Biology (4 papers)BMC Cancer (3 papers)Scientific Reports (3 papers)Annals of Surgical Oncology (3 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Chun‐Te Wu
93 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 74
- Pulmonary and Respiratory Medicine 589
- Oncology 227
- Cancer Research 92
- Urology 49
- Immunology 112
Countries citing papers authored by Chun‐Te Wu
This map shows the geographic impact of Chun‐Te Wu'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 Chun‐Te Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun‐Te Wu more than expected).
Fields of papers citing papers by Chun‐Te Wu
This network shows the impact of papers produced by Chun‐Te Wu. 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 Chun‐Te Wu. The network helps show where Chun‐Te Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun‐Te Wu, 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 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 223 | |
| 2 | 2008 | 214 | |
| 3 | 2007 | 176 | |
| 4 | 2016 | 166 | |
| 5 | 2013 | 124 | |
| 6 | 2005 | 109 | |
| 7 | 2013 | 104 | |
| 8 | 2006 | 82 | |
| 9 | 2012 | 82 | |
| 10 | 2004 | 59 | |
| 11 | 2015 | 59 | |
| 12 | 2018 | 48 | |
| 13 | 2003 | 40 | |
| 14 | 2011 | 38 | |
| 15 | 2015 | 38 | |
| 16 | 2017 | 37 | |
| 17 | 2018 | 37 | |
| 18 | 2013 | 34 | |
| 19 | 2008 | 29 | |
| 20 | 2014 | 29 |
About Chun‐Te Wu
Chun‐Te Wu is a scholar working on Pulmonary and Respiratory Medicine, Urology, Surgery, Oncology and Molecular Biology, having authored 99 papers that have together received 2.4k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (16 papers), Bladder and Urothelial Cancer Treatments (14 papers), Prostate Cancer Diagnosis and Treatment (7 papers), Urinary Bladder and Prostate Research (6 papers), Cancer survivorship and care (6 papers), TGF-β signaling in diseases (3 papers), Galectins and Cancer Biology (2 papers) and Kidney Stones and Urolithiasis Treatments (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (589 citations), Oncology (227 citations), Cancer Research (92 citations), Urology (49 citations) and Immunology (112 citations). Chun‐Te Wu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Miao‐Fen Chen, Wen‐Cheng Chen, Chawnshang Chang, Ying‐Hsu Chang, Shuyuan Yeh, Wei‐Yu Lin, Ching‐Chuan Hsieh, Saleh Altuwaijri, William A. Ricke and Jorge L. Yao. Their work appears in journals such as Cancers, Tumor Biology, BMC Cancer, Scientific Reports and Annals of Surgical Oncology.
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.