Sanshiro Tateya
Impact in
- Physiology top 5%
- Adipose Tissue and Metabolism
- Nitric Oxide and Endothelin Effects
- Diet and metabolism studies
- Epidemiology top 10%
- Adipokines, Inflammation, and Metabolic Diseases
- Liver Disease Diagnosis and Treatment
Papers in
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- Adipose Tissue and Metabolism 6
- Nitric Oxide and Endothelin Effects 3
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- Adipokines, Inflammation, and Metabolic Diseases 6
- Co-authors
- Francis Kim (10 shared papers)Yoshikazu Tamori (8 shared papers)Priya Handa (7 shared papers)Michael W. Schwartz (7 shared papers)Norma O. Rizzo (4 shared papers)Andrew Cheng (7 shared papers)Ezekiel Maloney (2 shared papers)Ian R. Sweet (2 shared papers)
- Journals
- Diabetes (3 papers)Arteriosclerosis Thrombosis and Vascular Biology (3 papers)PLoS ONE (2 papers)Cell Metabolism (1 paper)American Journal of Physiology-Endocrinology and Metabolism (1 paper)
- Partner nations
- United StatesJapanItaly
In The Last Decade
Sanshiro Tateya
17 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 94
- Physiology 404
- Epidemiology 397
- Biochemistry 76
- Endocrinology, Diabetes and Metabolism 161
- Immunology 197
Countries citing papers authored by Sanshiro Tateya
This map shows the geographic impact of Sanshiro Tateya'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 Sanshiro Tateya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanshiro Tateya more than expected).
Fields of papers citing papers by Sanshiro Tateya
This network shows the impact of papers produced by Sanshiro Tateya. 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 Sanshiro Tateya. The network helps show where Sanshiro Tateya may publish in the future.
Co-authors
The 25 scholars most cited alongside Sanshiro Tateya, 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 | 2009 | 188 | |
| 2 | 2013 | 172 | |
| 3 | 2016 | 153 | |
| 4 | 2011 | 112 | |
| 5 | 2015 | 84 | |
| 6 | 2010 | 78 | |
| 7 | 2010 | 74 | |
| 8 | 2012 | 73 | |
| 9 | 2011 | 66 | |
| 10 | 2008 | 49 | |
| 11 | 2009 | 32 | |
| 12 | 2017 | 24 | |
| 13 | 2013 | 23 | |
| 14 | 2014 | 16 | |
| 15 | 2016 | 6 | |
| 16 | 2019 | 5 | |
| 17 | 2019 | 2 |
About Sanshiro Tateya
Sanshiro Tateya is a scholar working on Physiology, Epidemiology, Molecular Biology, Immunology and Surgery, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (6 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Metabolism, Diabetes, and Cancer (4 papers), Nitric Oxide and Endothelin Effects (3 papers), Lipid metabolism and biosynthesis (3 papers), Pancreatic function and diabetes (2 papers), Apelin-related biomedical research (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Physiology (404 citations), Epidemiology (397 citations), Biochemistry (76 citations), Endocrinology, Diabetes and Metabolism (161 citations) and Immunology (197 citations). Sanshiro Tateya has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Francis Kim, Yoshikazu Tamori, Priya Handa, Michael W. Schwartz, Norma O. Rizzo, Andrew Cheng, Ezekiel Maloney, Ian R. Sweet, Alexander W. Clowes and Guenter Daum. Their work appears in journals such as Diabetes, Arteriosclerosis Thrombosis and Vascular Biology, PLoS ONE, Cell Metabolism and American Journal of Physiology-Endocrinology and Metabolism.
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.