Shutaro Ishimura
Impact in
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- Peroxisome Proliferator-Activated Receptors
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
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- Peroxisome Proliferator-Activated Receptors 14
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- Autophagy in Disease and Therapy 2
- Liver Disease Diagnosis and Treatment 1
- Co-authors
- Tetsuji Miura (19 shared papers)Masato Furuhashi (18 shared papers)Takahiro Fuseya (15 shared papers)Marenao Tanaka (14 shared papers)Hideaki Yoshida (15 shared papers)Tomohiro Mita (14 shared papers)Yuki Watanabe (11 shared papers)Kyoko Hoshina (10 shared papers)
- Journals
- PLoS ONE (3 papers)American Journal of Hypertension (2 papers)Nephron Clinical Practice (1 paper)Journal of Lipid Research (1 paper)Obesity (1 paper)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Shutaro Ishimura
19 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 666
- Infectious Diseases 167
- Cardiology and Cardiovascular Medicine 193
- Epidemiology 250
- Endocrinology, Diabetes and Metabolism 108
Countries citing papers authored by Shutaro Ishimura
This map shows the geographic impact of Shutaro Ishimura'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 Shutaro Ishimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shutaro Ishimura more than expected).
Fields of papers citing papers by Shutaro Ishimura
This network shows the impact of papers produced by Shutaro Ishimura. 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 Shutaro Ishimura. The network helps show where Shutaro Ishimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Shutaro Ishimura, 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 | 2014 | 197 | |
| 2 | 2013 | 123 | |
| 3 | 2016 | 107 | |
| 4 | 2011 | 92 | |
| 5 | 2012 | 89 | |
| 6 | 2011 | 87 | |
| 7 | 2014 | 86 | |
| 8 | 2014 | 83 | |
| 9 | 2014 | 73 | |
| 10 | 2017 | 54 | |
| 11 | 2015 | 48 | |
| 12 | 2016 | 47 | |
| 13 | 2015 | 46 | |
| 14 | 2015 | 43 | |
| 15 | 2014 | 39 | |
| 16 | 2014 | 30 | |
| 17 | 2011 | 26 | |
| 18 | 2014 | 14 | |
| 19 | 2012 | 1 |
About Shutaro Ishimura
Shutaro Ishimura is a scholar working on Molecular Biology, Epidemiology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Cell Biology, having authored 19 papers that have together received 1.3k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (14 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Autophagy in Disease and Therapy (2 papers), Vasculitis and related conditions (1 paper), Liver Disease Diagnosis and Treatment (1 paper), Drug Transport and Resistance Mechanisms (1 paper) and Diabetes Treatment and Management (1 paper). The work is most often cited by research in Molecular Biology (666 citations), Infectious Diseases (167 citations), Cardiology and Cardiovascular Medicine (193 citations), Epidemiology (250 citations) and Endocrinology, Diabetes and Metabolism (108 citations). Shutaro Ishimura has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Tetsuji Miura, Masato Furuhashi, Takahiro Fuseya, Marenao Tanaka, Hideaki Yoshida, Tomohiro Mita, Yuki Watanabe, Kyoko Hoshina, Hideki Ota and Kazuaki Shimamoto. Their work appears in journals such as PLoS ONE, American Journal of Hypertension, Nephron Clinical Practice, Journal of Lipid Research and Obesity.
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.