Tai‐Lung Cha
Impact in
- Urology top 1%
- Urinary Bladder and Prostate Research
- Reproductive Medicine top 5%
- Sperm and Testicular Function
Papers in
- Urology 17
- Urinary Bladder and Prostate Research 14
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- Prostate Cancer Treatment and Research 9
- Renal cell carcinoma treatment 8
- Prostate Cancer Diagnosis and Treatment 8
- Kidney Stones and Urolithiasis Treatments 5
- Co-authors
- Guang‐Huan Sun (55 shared papers)Dah‐Shyong Yü (53 shared papers)Chun‐Te Chen (2 shared papers)Mien‐Chie Hung (2 shared papers)Sheng‐Tang Wu (53 shared papers)Chih‐Wei Tsao (34 shared papers)Sun‐Yran Chang (31 shared papers)En Meng (39 shared papers)
- Journals
- PLoS ONE (5 papers)Cancer Research (4 papers)Medicine (4 papers)Scientific Reports (3 papers)Clinical Cancer Research (3 papers)
- Partner nations
- TaiwanUnited StatesIndia
In The Last Decade
Tai‐Lung Cha
99 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 103
- Urology 257
- Reproductive Medicine 218
- Toxicology 73
- Pulmonary and Respiratory Medicine 425
- Molecular Biology 792
Countries citing papers authored by Tai‐Lung Cha
This map shows the geographic impact of Tai‐Lung Cha'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 Tai‐Lung Cha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tai‐Lung Cha more than expected).
Fields of papers citing papers by Tai‐Lung Cha
This network shows the impact of papers produced by Tai‐Lung Cha. 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 Tai‐Lung Cha. The network helps show where Tai‐Lung Cha may publish in the future.
Co-authors
The 25 scholars most cited alongside Tai‐Lung Cha, 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 103 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 476 | |
| 2 | 2005 | 152 | |
| 3 | 2008 | 131 | |
| 4 | 2009 | 129 | |
| 5 | 2013 | 108 | |
| 6 | 2012 | 103 | |
| 7 | 2009 | 99 | |
| 8 | 2009 | 98 | |
| 9 | 2015 | 70 | |
| 10 | 2011 | 69 | |
| 11 | 2012 | 62 | |
| 12 | 2016 | 62 | |
| 13 | 2015 | 54 | |
| 14 | 2018 | 54 | |
| 15 | 2009 | 51 | |
| 16 | 2014 | 43 | |
| 17 | 2014 | 43 | |
| 18 | 2013 | 42 | |
| 19 | 2020 | 41 | |
| 20 | 2013 | 39 |
About Tai‐Lung Cha
Tai‐Lung Cha is a scholar working on Urology, Pulmonary and Respiratory Medicine, Surgery, Reproductive Medicine and Oncology, having authored 103 papers that have together received 2.7k indexed citations. Recurring topics across this work include Urinary Bladder and Prostate Research (14 papers), Prostate Cancer Treatment and Research (9 papers), Renal cell carcinoma treatment (8 papers), Prostate Cancer Diagnosis and Treatment (8 papers), Bladder and Urothelial Cancer Treatments (8 papers), Sperm and Testicular Function (7 papers), Kidney Stones and Urolithiasis Treatments (5 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Urology (257 citations), Reproductive Medicine (218 citations), Toxicology (73 citations), Pulmonary and Respiratory Medicine (425 citations) and Molecular Biology (792 citations). Tai‐Lung Cha has collaborated with scholars based in Taiwan, United States and India. Frequent co-authors include Guang‐Huan Sun, Dah‐Shyong Yü, Chun‐Te Chen, Mien‐Chie Hung, Sheng‐Tang Wu, Chih‐Wei Tsao, Sun‐Yran Chang, En Meng, Yadi Wu and Cheng‐Chieh Yang. Their work appears in journals such as PLoS ONE, Cancer Research, Medicine, Scientific Reports and Clinical Cancer Research.
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.