Jun Da
Impact in
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- MicroRNA in disease regulation
- Urology top 10%
- Urological Disorders and Treatments
Papers in
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- Prostate Cancer Treatment and Research 8
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- Advanced biosensing and bioanalysis techniques 4
- Co-authors
- Shuyuan Yeh (8 shared papers)Iawen Hsu (3 shared papers)Mingxi Xu (4 shared papers)Spencer 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
- Asian Journal of Andrology (2 papers)Chemical Communications (2 papers)Urolithiasis (2 papers)Carcinogenesis (2 papers)Annals of Palliative Medicine (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Jun Da
30 papers receiving 710 citations
Peers
Comparison fields: 5 of 85
- Cancer Research 145
- Urology 61
- Complementary and alternative medicine 47
- Oncology 142
- Rehabilitation 34
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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 66 | |
| 2 | 2011 | 64 | |
| 3 | 2019 | 62 | |
| 4 | 2013 | 59 | |
| 5 | 2016 | 59 | |
| 6 | 2017 | 57 | |
| 7 | 2015 | 53 | |
| 8 | 2013 | 50 | |
| 9 | 2021 | 38 | |
| 10 | 2016 | 37 | |
| 11 | Estrogen receptors in prostate development and cancer. | 2014 | 27 |
| 12 | 2014 | 21 | |
| 13 | [Thyroid squamous-cell carcinoma showing thymus-like element (CASTLE): a report of eight cases]. | 1999 | 17 |
| 14 | 2012 | 15 | |
| 15 | 2019 | 12 | |
| 16 | 2011 | 11 | |
| 17 | 2019 | 11 | |
| 18 | Normal peripheral prostate stromal cells stimulate prostate cancer development: roles of c-kit signal. | 2015 | 11 |
| 19 | 2015 | 10 | |
| 20 | 2015 | 8 |
About Jun Da
Jun Da is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Genetics, Surgery and Oncology, having authored 30 papers that have together received 722 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (8 papers), Estrogen and related hormone effects (8 papers), Advanced biosensing and bioanalysis techniques (4 papers), Nanoplatforms for cancer theranostics (4 papers), Cancer Cells and Metastasis (4 papers), Luminescence and Fluorescent Materials (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Tissue Engineering and Regenerative Medicine (2 papers). The work is most often cited by research in Cancer Research (145 citations), Urology (61 citations), Complementary and alternative medicine (47 citations), Oncology (142 citations) and Rehabilitation (34 citations). Jun Da has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Shuyuan Yeh, Iawen Hsu, Mingxi Xu, Spencer Slavin, Zhong Wang, Mujun Lu, Chiuan‐Ren Yeh, Yiwei Wang, Wenfeng Li and Zhong Wang. Their work appears in journals such as Asian Journal of Andrology, Chemical Communications, Urolithiasis, Carcinogenesis and Annals of Palliative Medicine.
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.