Tony T. Wu
- Molecular Biology
- Pulmonary and Respiratory Medicine top 10%
- Cancer Research top 10%
- Pediatrics, Perinatology and Child Health top 10%
- Oncology
- Co-authors
- Ying-Huei LeeJeng‐Yu TsaiChia-Chen YuChia‐Cheng YuShu‐Pin HuangChun‐Hsiung HuangMing‐Tsang WuJong‐Khing Huang
- Topics
- Prostate Cancer Treatment and Research (9 papers)Bladder and Urothelial Cancer Treatments (6 papers)Cancer-related molecular mechanisms research (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaClinical Cancer ResearchBiochemical and Biophysical Research Communications
- Partner nations
- TaiwanUnited StatesSlovenia
In The Last Decade
Tony T. Wu
41 papers receiving 730 citations
Peers
Comparison fields: 5 of 88
- Molecular Biology 345
- Pulmonary and Respiratory Medicine 278
- Cancer Research 216
- Pediatrics, Perinatology and Child Health 125
- Oncology 113
Countries citing papers authored by Tony T. Wu
This map shows the geographic impact of Tony T. 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 Tony T. Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tony T. Wu more than expected).
Fields of papers citing papers by Tony T. Wu
This network shows the impact of papers produced by Tony T. 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 Tony T. Wu. The network helps show where Tony T. Wu may publish in the future.
Co-authorship network of co-authors of Tony T. Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Tony T. Wu. A scholar is included among the top collaborators of Tony T. Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tony T. Wu. Tony T. Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 36 | |
| 4 | 13 | |
| 5 | 51 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 42 | |
| 9 | 13 | |
| 10 | 10 | |
| 11 | 8 | |
| 12 | 108 | |
| 13 | 9 | |
| 14 | 22 | |
| 15 | Risk Factors of Massive Bleeding After Percutaneous Nephrolithotomy and Its Management | 5 |
| 16 | Prognostic Significance of the Ki-67 Index in Predicting Tumor Recurrence for Low-grade Superficial Transitional Cell Carcinoma of the Urinary Bladder | 1 |
| 17 | 14 | |
| 18 | 2 | |
| 19 | 4 | |
| 20 | 16 |
About Tony T. Wu
Tony T. Wu is a scholar working on Urology, Cancer Research and Obstetrics and Gynecology, having authored 42 papers that have together received 747 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (9 papers), Bladder and Urothelial Cancer Treatments (6 papers) and Cancer-related molecular mechanisms research (5 papers). The work is most often cited by research in Cancer Research (216 citations), Obstetrics and Gynecology (77 citations) and Pulmonary and Respiratory Medicine (278 citations). Tony T. Wu has collaborated with scholars based in Taiwan, United States and Slovenia. Frequent co-authors include Ying-Huei Lee, Jeng‐Yu Tsai, Chia-Chen Yu, Chia‐Cheng Yu, Shu‐Pin Huang, Chun‐Hsiung Huang, Ming‐Tsang Wu, Jong‐Khing Huang, Wen‐Jeng Wu and Long‐Sen Chang. Their work appears in journals such as SHILAP Revista de lepidopterología, Clinical Cancer Research and Biochemical and Biophysical Research Communications.
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.