Daisuke Taura
Impact in
- Rheumatology top 5%
- Moyamoya disease diagnosis and treatment
Papers in
-
- Hormonal Regulation and Hypertension 11
- Thyroid Disorders and Treatments 4
- Adrenal Hormones and Disorders 4
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- Moyamoya disease diagnosis and treatment 5
- Co-authors
- Masakatsu Sone (39 shared papers)Kazuwa Nakao (24 shared papers)Naohisa Tamura (17 shared papers)Takuhiro Sonoyama (15 shared papers)Megumi Inuzuka (12 shared papers)Hiroshi Itoh (10 shared papers)Naofumi Oyamada (11 shared papers)Yasutomo Fukunaga (11 shared papers)
- Journals
- Endocrinology (8 papers)The Journal of Clinical Endocrinology & Metabolism (4 papers)Stem Cells and Development (3 papers)Scientific Reports (3 papers)Hypertension Research (3 papers)
- Partner nations
- JapanUnited StatesTaiwan
In The Last Decade
Daisuke Taura
60 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 99
- Rheumatology 323
- Endocrinology, Diabetes and Metabolism 328
- Genetics 207
- Molecular Biology 1.1k
- Neurology 208
Countries citing papers authored by Daisuke Taura
This map shows the geographic impact of Daisuke Taura'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 Taura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Taura more than expected).
Fields of papers citing papers by Daisuke Taura
This network shows the impact of papers produced by Daisuke Taura. 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 Taura. The network helps show where Daisuke Taura may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke Taura, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 255 | |
| 2 | 1998 | 219 | |
| 3 | 2009 | 167 | |
| 4 | 2017 | 135 | |
| 5 | 2009 | 135 | |
| 6 | 2015 | 127 | |
| 7 | 2007 | 119 | |
| 8 | 2019 | 117 | |
| 9 | 2013 | 109 | |
| 10 | 2020 | 96 | |
| 11 | 2017 | 84 | |
| 12 | 2008 | 83 | |
| 13 | 2012 | 82 | |
| 14 | 2012 | 77 | |
| 15 | 2005 | 66 | |
| 16 | 2012 | 55 | |
| 17 | 2013 | 54 | |
| 18 | 2008 | 51 | |
| 19 | 2011 | 46 | |
| 20 | 2008 | 41 |
About Daisuke Taura
Daisuke Taura is a scholar working on Endocrinology, Diabetes and Metabolism, Rheumatology, Neurology, Molecular Biology and Genetics, having authored 64 papers that have together received 2.6k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (11 papers), Pluripotent Stem Cells Research (7 papers), Moyamoya disease diagnosis and treatment (5 papers), Adrenal and Paraganglionic Tumors (5 papers), Thyroid Disorders and Treatments (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Adrenal Hormones and Disorders (4 papers) and Regulation of Appetite and Obesity (3 papers). The work is most often cited by research in Rheumatology (323 citations), Endocrinology, Diabetes and Metabolism (328 citations), Genetics (207 citations), Molecular Biology (1.1k citations) and Neurology (208 citations). Daisuke Taura has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Masakatsu Sone, Kazuwa Nakao, Naohisa Tamura, Takuhiro Sonoyama, Megumi Inuzuka, Hiroshi Itoh, Naofumi Oyamada, Yasutomo Fukunaga, Kazutoshi Miyashita and Kenichi Yamahara. Their work appears in journals such as Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Stem Cells and Development, Scientific Reports and Hypertension 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.