Daisuke Obinata
Impact in
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism
- Urology top 5%
Papers in
-
- Prostate Cancer Treatment and Research 26
- Prostate Cancer Diagnosis and Treatment 8
- Surgery 22
- Anorectal Disease Treatments and Outcomes 7
- Co-authors
- Satoru Takahashi (53 shared papers)Satoshi Inoue (24 shared papers)Ken‐ichi Takayama (22 shared papers)Tomohiko Urano (14 shared papers)Kenya Yamaguchi (33 shared papers)Tetsuya Fujimura (15 shared papers)Daisaku Ashikari (11 shared papers)Yukio Homma (10 shared papers)
- Journals
- International Journal of Urology (10 papers)Cancer Science (6 papers)Medicine (4 papers)Scientific Reports (3 papers)Clinical Cancer Research (2 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Daisuke Obinata
56 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 72
- Cancer Research 248
- Urology 98
- Rheumatology 155
- Pulmonary and Respiratory Medicine 324
- Genetics 91
Countries citing papers authored by Daisuke Obinata
This map shows the geographic impact of Daisuke Obinata'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 Daisuke Obinata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Obinata more than expected).
Fields of papers citing papers by Daisuke Obinata
This network shows the impact of papers produced by Daisuke Obinata. 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 Daisuke Obinata. The network helps show where Daisuke Obinata may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke Obinata, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 77 | |
| 2 | 2016 | 64 | |
| 3 | 2017 | 61 | |
| 4 | 2017 | 61 | |
| 5 | 2010 | 53 | |
| 6 | 2012 | 52 | |
| 7 | 2011 | 48 | |
| 8 | 2011 | 48 | |
| 9 | 2016 | 39 | |
| 10 | 2017 | 35 | |
| 11 | 2017 | 35 | |
| 12 | 2014 | 34 | |
| 13 | 2016 | 33 | |
| 14 | 2020 | 30 | |
| 15 | 2019 | 28 | |
| 16 | 2011 | 27 | |
| 17 | 2013 | 24 | |
| 18 | 2016 | 23 | |
| 19 | 2019 | 22 | |
| 20 | 2011 | 21 |
About Daisuke Obinata
Daisuke Obinata is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Rheumatology, Molecular Biology and Oncology, having authored 63 papers that have together received 1.0k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (26 papers), Pelvic floor disorders treatments (13 papers), Prostate Cancer Diagnosis and Treatment (8 papers), Urological Disorders and Treatments (7 papers), Anorectal Disease Treatments and Outcomes (7 papers), Urinary Bladder and Prostate Research (6 papers), Cancer, Lipids, and Metabolism (5 papers) and Estrogen and related hormone effects (5 papers). The work is most often cited by research in Cancer Research (248 citations), Urology (98 citations), Rheumatology (155 citations), Pulmonary and Respiratory Medicine (324 citations) and Genetics (91 citations). Daisuke Obinata has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Satoru Takahashi, Satoshi Inoue, Ken‐ichi Takayama, Tomohiko Urano, Kenya Yamaguchi, Tetsuya Fujimura, Daisaku Ashikari, Yukio Homma, Noboru Fukuda and Takahiro Sakuma. Their work appears in journals such as International Journal of Urology, Cancer Science, 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.