Chun‐Te Wu
Impact in
- Cancer Research top 5%
- Cancer, Lipids, and Metabolism
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Prostate Cancer Treatment and Research 17
- Prostate Cancer Diagnosis and Treatment 15
- Oncology 28
- Cancer survivorship and care 6
- Cancer Cells and Metastasis 6
- Co-authors
- Wen‐Cheng Chen (25 shared papers)Miao‐Fen Chen (28 shared papers)Chawnshang Chang (5 shared papers)Shuyuan Yeh (4 shared papers)Wei‐Yu Lin (7 shared papers)Ying‐Hsu Chang (12 shared papers)Ching‐Chuan Hsieh (4 shared papers)Saleh Altuwaijri (3 shared papers)
- Journals
- Cancers (6 papers)Tumor Biology (4 papers)International Journal of Radiation Oncology*Biology*Physics (3 papers)BMC Cancer (3 papers)Annals of Surgical Oncology (3 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Chun‐Te Wu
97 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 149
- Cancer Research 375
- Oncology 663
- Pulmonary and Respiratory Medicine 757
- Immunology 364
- Urology 109
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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 211 | |
| 2 | 2008 | 196 | |
| 3 | 2007 | 163 | |
| 4 | 2016 | 150 | |
| 5 | 2013 | 116 | |
| 6 | 2005 | 109 | |
| 7 | 2013 | 97 | |
| 8 | 2006 | 81 | |
| 9 | 2012 | 78 | |
| 10 | 2015 | 59 | |
| 11 | 2013 | 57 | |
| 12 | 2004 | 56 | |
| 13 | 2018 | 43 | |
| 14 | 2015 | 41 | |
| 15 | 2003 | 39 | |
| 16 | 2014 | 38 | |
| 17 | 2017 | 37 | |
| 18 | 2011 | 37 | |
| 19 | 2013 | 34 | |
| 20 | 2018 | 34 |
About Chun‐Te Wu
Chun‐Te Wu is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Surgery, Molecular Biology and Cancer Research, having authored 102 papers that have together received 2.4k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (17 papers), Bladder and Urothelial Cancer Treatments (15 papers), Prostate Cancer Diagnosis and Treatment (15 papers), Urinary and Genital Oncology Studies (10 papers), Pelvic floor disorders treatments (6 papers), Cancer survivorship and care (6 papers), Cancer Cells and Metastasis (6 papers) and Urological Disorders and Treatments (6 papers). The work is most often cited by research in Cancer Research (375 citations), Oncology (663 citations), Pulmonary and Respiratory Medicine (757 citations), Immunology (364 citations) and Urology (109 citations). Chun‐Te Wu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Wen‐Cheng Chen, Miao‐Fen Chen, Chawnshang Chang, Shuyuan Yeh, Wei‐Yu Lin, Ying‐Hsu Chang, Ching‐Chuan Hsieh, Saleh Altuwaijri, William A. Ricke and Paul‐Yang Lin. Their work appears in journals such as Cancers, Tumor Biology, International Journal of Radiation Oncology*Biology*Physics, BMC Cancer 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.