Daisuke Taura
Impact in
-
- Hormonal Regulation and Hypertension
- Rheumatology top 5%
- Moyamoya disease diagnosis and treatment
Papers in
-
- Pluripotent Stem Cells Research 11
-
- Hormonal Regulation and Hypertension 10
- Adrenal Hormones and Disorders 4
- Thyroid Disorders and Treatments 4
- Co-authors
- Masakatsu Sone (39 shared papers)Kazuwa Nakao (24 shared papers)Naohisa Tamura (18 shared papers)Takuhiro Sonoyama (15 shared papers)Megumi Inuzuka (12 shared papers)Hiroshi Itoh (11 shared papers)Naofumi Oyamada (12 shared papers)Yasutomo Fukunaga (12 shared papers)
- Journals
- Endocrinology (8 papers)The Journal of Clinical Endocrinology & Metabolism (4 papers)Stem Cells and Development (3 papers)PLoS ONE (3 papers)Scientific Reports (2 papers)
- Partner nations
- JapanUnited StatesTaiwan
In The Last Decade
Daisuke Taura
56 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 96
- Endocrinology, Diabetes and Metabolism 347
- Rheumatology 294
- Genetics 198
- Neurology 250
- Molecular Biology 968
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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 238 | |
| 2 | 1998 | 212 | |
| 3 | 2009 | 151 | |
| 4 | 2017 | 118 | |
| 5 | 2009 | 118 | |
| 6 | 2015 | 110 | |
| 7 | 2019 | 105 | |
| 8 | 2013 | 94 | |
| 9 | 2020 | 80 | |
| 10 | 2008 | 76 | |
| 11 | 2017 | 76 | |
| 12 | 2012 | 72 | |
| 13 | 2012 | 69 | |
| 14 | 2005 | 63 | |
| 15 | 2012 | 54 | |
| 16 | 2008 | 50 | |
| 17 | 2013 | 48 | |
| 18 | 2011 | 41 | |
| 19 | 2008 | 36 | |
| 20 | 2010 | 31 |
About Daisuke Taura
Daisuke Taura is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, Neurology and Epidemiology, having authored 59 papers that have together received 2.2k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (11 papers), Hormonal Regulation and Hypertension (10 papers), Adrenal and Paraganglionic Tumors (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), Mesenchymal stem cell research (4 papers), Cerebrovascular and genetic disorders (4 papers), Adrenal Hormones and Disorders (4 papers) and Thyroid Disorders and Treatments (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (347 citations), Rheumatology (294 citations), Genetics (198 citations), Neurology (250 citations) and Molecular Biology (968 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, PLoS ONE and Scientific Reports.
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.