Jun Da
Impact in
- Urology top 5%
-
- MicroRNA in disease regulation
Papers in
-
- Prostate Cancer Treatment and Research 11
- Kidney Stones and Urolithiasis Treatments 2
- Urology 2
- Urinary Bladder and Prostate Research 1
- Co-authors
- Shuyuan Yeh (8 shared papers)Mingxi Xu (4 shared papers)Iawen Hsu (3 shared papers)Spencer A. Slavin (4 shared papers)Zhong Wang (6 shared papers)Mujun Lu (3 shared papers)Chiuan‐Ren Yeh (4 shared papers)Yiwei Wang (3 shared papers)
- Journals
- Carcinogenesis (2 papers)Asian Journal of Andrology (2 papers)Urolithiasis (2 papers)Cell Biochemistry and Biophysics (1 paper)Cancer Science (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Jun Da
21 papers receiving 665 citations
Peers
Comparison fields: 5 of 63
- Urology 47
- Cancer Research 83
- Complementary and alternative medicine 43
- Pulmonary and Respiratory Medicine 138
- Oncology 89
Countries citing papers authored by Jun Da
This map shows the geographic impact of Jun Da'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 Jun Da with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Da more than expected).
Fields of papers citing papers by Jun Da
This network shows the impact of papers produced by Jun Da. 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 Jun Da. The network helps show where Jun Da may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Da, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 71 | |
| 2 | 2011 | 68 | |
| 3 | 2019 | 67 | |
| 4 | 2016 | 64 | |
| 5 | 2013 | 61 | |
| 6 | 2017 | 57 | |
| 7 | 2015 | 55 | |
| 8 | 2013 | 54 | |
| 9 | 2016 | 39 | |
| 10 | Estrogen receptors in prostate development and cancer. | 2014 | 28 |
| 11 | 2014 | 24 | |
| 12 | 2012 | 15 | |
| 13 | 2011 | 12 | |
| 14 | 2019 | 12 | |
| 15 | Normal peripheral prostate stromal cells stimulate prostate cancer development: roles of c-kit signal. | 2015 | 11 |
| 16 | 2015 | 10 | |
| 17 | 2015 | 8 | |
| 18 | 2022 | 7 | |
| 19 | 2019 | 6 | |
| 20 | 2014 | 5 |
About Jun Da
Jun Da is a scholar working on Pulmonary and Respiratory Medicine, Urology, Genetics, Surgery and Molecular Medicine, having authored 21 papers that have together received 676 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (11 papers), Estrogen and related hormone effects (3 papers), Kidney Stones and Urolithiasis Treatments (2 papers), Bladder and Urothelial Cancer Treatments (2 papers), Cancer Immunotherapy and Biomarkers (1 paper), Urinary Bladder and Prostate Research (1 paper), Immune cells in cancer (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Urology (47 citations), Cancer Research (83 citations), Complementary and alternative medicine (43 citations), Pulmonary and Respiratory Medicine (138 citations) and Oncology (89 citations). Jun Da has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Shuyuan Yeh, Mingxi Xu, Iawen Hsu, Spencer A. Slavin, Zhong Wang, Mujun Lu, Chiuan‐Ren Yeh, Yiwei Wang, Wenfeng Li and Zhong Wang. Their work appears in journals such as Carcinogenesis, Asian Journal of Andrology, Urolithiasis, Cell Biochemistry and Biophysics and Cancer Science.
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.