Yasuyoshi Ouchi
- Geriatrics and Gerontology top 0.1%
- Orthopedics and Sports Medicine top 0.5%
- Bone health and osteoporosis research 26
- Physiology top 0.2%
- Nitric Oxide and Endothelin Effects 24
- Endocrine and Autonomic Systems top 0.5%
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- Estrogen and related hormone effects 50
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- Prostate Cancer Treatment and Research 18
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- Cardiovascular Health and Disease Prevention 17
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- Bone Metabolism and Diseases 16
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- Bone health and treatments 15
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- Vitamin K Research Studies 15
Yasuyoshi Ouchi
394 papers receiving 19.8k citations
Hit Papers
Peers
Comparison fields: 5 of 188
- Geriatrics and Gerontology 1.4k
- Orthopedics and Sports Medicine 1.6k
- Endocrinology, Diabetes and Metabolism 2.7k
- Physiology 4.0k
- Endocrine and Autonomic Systems 850
Countries citing papers authored by Yasuyoshi Ouchi
This map shows the geographic impact of Yasuyoshi Ouchi'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 Yasuyoshi Ouchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasuyoshi Ouchi more than expected).
Fields of papers citing papers by Yasuyoshi Ouchi
This network shows the impact of papers produced by Yasuyoshi Ouchi. 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 Yasuyoshi Ouchi. The network helps show where Yasuyoshi Ouchi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yasuyoshi Ouchi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2018 | 5 | |
| 3 | 2018 | 60 | |
| 4 | 2014 | 34 | |
| 5 | 2012 | 52 | |
| 6 | 2012 | 17 | |
| 7 | 2011 | 89 | |
| 8 | 2010 | 48 | |
| 9 | [Can statins slow the process of vascular calcification? Possibilities of lipid-lowering therapy and pleiotropic effect by statin treatment]. | 2010 | 3 |
| 10 | 2009 | 3 | |
| 11 | 2008 | 96 | |
| 12 | 2007 | 68 | |
| 13 | 2005 | 24 | |
| 14 | [Right or wrong of the hormone replacement therapy involving osteoporosis]. | 2004 | 1 |
| 15 | 2002 | 26 | |
| 16 | 1998 | 20 | |
| 17 | 1998 | 20 | |
| 18 | 1997 | 40 | |
| 19 | 1996 | 13 | |
| 20 | CENTRAL HYPOTENSIVE MECHANISM OF DIETARY CALCIUM SUPPLEMENTATION IN ANGIOTENSIN-II-INDUCED HYPERTENSION IN RATS | 1990 | 1 |
About Yasuyoshi Ouchi
Yasuyoshi Ouchi is a scholar working on Geriatrics and Gerontology, Orthopedics and Sports Medicine and Endocrinology, Diabetes and Metabolism, having authored 406 papers that have together received 20.2k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (50 papers), Bone health and osteoporosis research (26 papers), Nitric Oxide and Endothelin Effects (24 papers), Prostate Cancer Treatment and Research (18 papers), Cardiovascular Health and Disease Prevention (17 papers), Bone Metabolism and Diseases (16 papers), Bone health and treatments (15 papers) and Vitamin K Research Studies (15 papers). The work is most often cited by research in Geriatrics and Gerontology (1.4k citations), Orthopedics and Sports Medicine (1.6k citations) and Endocrinology, Diabetes and Metabolism (2.7k citations). Yasuyoshi Ouchi has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Masahiro Akishita, Satoshi Inoue, Masato Eto, Katsuya Iijima, Sumito Ogawa, Takayuki Hosoi, Hajime Orimo, Takahide Nagase, Tomohiko Urano and Masataka Shiraki.
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.