Tai‐Lung Cha
Impact in
- Biological Psychiatry top 2%
- Tryptophan and brain disorders
- Urology top 5%
- Urinary Bladder and Prostate Research
Papers in ⓘ
-
- Prostate Cancer Treatment and Research 11
- Kidney Stones and Urolithiasis Treatments 7
- Surgery 26
- Bladder and Urothelial Cancer Treatments 11
- Urinary and Genital Oncology Studies 10
- Co-authors
- Guang‐Huan Sun (54 shared papers)Dah‐Shyong Yü (50 shared papers)Sheng‐Tang Wu (51 shared papers)Sun‐Yran Chang (30 shared papers)En Meng (36 shared papers)Chih‐Wei Tsao (30 shared papers)Shou‐Hung Tang (24 shared papers)Cheng‐Ping Yu (7 shared papers)
- Journals
- Medicine (4 papers)Clinical Cancer Research (3 papers)Scientific Reports (3 papers)International Journal of Urology (3 papers)Biology (2 papers)
- Partner nations
- TaiwanUnited StatesIran
In The Last Decade
Tai‐Lung Cha
80 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 109
- Biological Psychiatry 163
- Urology 151
- Pharmacology 244
- Cancer Research 173
- Toxicology 39
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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 128 | |
| 2 | 2009 | 117 | |
| 3 | 2013 | 96 | |
| 4 | 2009 | 92 | |
| 5 | 2009 | 89 | |
| 6 | 2011 | 66 | |
| 7 | 2012 | 58 | |
| 8 | 2009 | 51 | |
| 9 | 2018 | 51 | |
| 10 | 2014 | 40 | |
| 11 | 2016 | 36 | |
| 12 | 2013 | 35 | |
| 13 | 2009 | 35 | |
| 14 | 2019 | 30 | |
| 15 | 2021 | 29 | |
| 16 | 2016 | 29 | |
| 17 | 2013 | 28 | |
| 18 | 2008 | 25 | |
| 19 | 2015 | 18 | |
| 20 | 2016 | 18 |
About Tai‐Lung Cha
Tai‐Lung Cha is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Molecular Biology, Urology and Rheumatology, having authored 83 papers that have together received 1.4k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (11 papers), Bladder and Urothelial Cancer Treatments (11 papers), Urologic and reproductive health conditions (11 papers), Urinary and Genital Oncology Studies (10 papers), Urological Disorders and Treatments (9 papers), Treatment of Major Depression (8 papers), Kidney Stones and Urolithiasis Treatments (7 papers) and Urinary Bladder and Prostate Research (6 papers). The work is most often cited by research in Biological Psychiatry (163 citations), Urology (151 citations), Pharmacology (244 citations), Cancer Research (173 citations) and Toxicology (39 citations). Tai‐Lung Cha has collaborated with scholars based in Taiwan, United States and Iran. Frequent co-authors include Guang‐Huan Sun, Dah‐Shyong Yü, Sheng‐Tang Wu, Sun‐Yran Chang, En Meng, Chih‐Wei Tsao, Shou‐Hung Tang, Cheng‐Ping Yu, Pei‐Wen Hsiao and Jar‐Yi Ho. Their work appears in journals such as Medicine, Clinical Cancer Research, Scientific Reports, International Journal of Urology and Biology.
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.