Yutaka Miyazaki
- Endocrinology top 5%
- Biotechnology top 5%
- Food Science top 5%
- Salmonella and Campylobacter epidemiology 4
- Hepatology top 10%
- Biochemistry top 10%
- Eicosanoids and Hypertension Pharmacology 4
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- Cardiac Ischemia and Reperfusion 8
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- Advanced Algebra and Logic 7
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- Logic, Reasoning, and Knowledge 5
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- Mitochondrial Function and Pathology 5
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- Cardiac Imaging and Diagnostics 4
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- Adipose Tissue and Metabolism 4
- Co-authors
- Masakado MatsumotoReiji HiramatsuKenji SakaeYuko ItoHisao OkaTakayuki ItoYukio TokiSatoru Sugiyama
- Journals
- Journal of the American College of Cardiology (1 paper)PLoS ONE (2 papers)Applied and Environmental Microbiology (1 paper)
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Yutaka Miyazaki
73 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 120
- Endocrinology 147
- Biotechnology 140
- Food Science 242
- Hepatology 101
- Biochemistry 69
Countries citing papers authored by Yutaka Miyazaki
This map shows the geographic impact of Yutaka Miyazaki'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 Yutaka Miyazaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yutaka Miyazaki more than expected).
Fields of papers citing papers by Yutaka Miyazaki
This network shows the impact of papers produced by Yutaka Miyazaki. 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 Yutaka Miyazaki. The network helps show where Yutaka Miyazaki may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yutaka Miyazaki, 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 | 2011 | 24 | |
| 2 | 2007 | 23 | |
| 3 | 2007 | 24 | |
| 4 | 2006 | 1 | |
| 5 | 2005 | 9 | |
| 6 | Normal Modal Logics Containing KTB with some Finiteness Conditions. | 2004 | 6 |
| 7 | 2003 | 10 | |
| 8 | 2003 | 11 | |
| 9 | 2003 | 3 | |
| 10 | 2002 | 36 | |
| 11 | 2002 | 2 | |
| 12 | 2001 | 1 | |
| 13 | 2001 | 11 | |
| 14 | 2000 | 1 | |
| 15 | The super-amalgamation property of the variety of ortholattices | 1999 | 1 |
| 16 | 1999 | 3 | |
| 17 | 1998 | 26 | |
| 18 | 1997 | 2 | |
| 19 | 1992 | 40 | |
| 20 | 1990 | 27 |
About Yutaka Miyazaki
Yutaka Miyazaki is a scholar working on Endocrinology, Biochemistry and Hepatology, having authored 76 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (8 papers), Advanced Algebra and Logic (7 papers), Logic, Reasoning, and Knowledge (5 papers), Mitochondrial Function and Pathology (5 papers), Cardiac Imaging and Diagnostics (4 papers), Eicosanoids and Hypertension Pharmacology (4 papers), Salmonella and Campylobacter epidemiology (4 papers) and Adipose Tissue and Metabolism (4 papers). The work is most often cited by research in Endocrinology (147 citations), Biotechnology (140 citations) and Food Science (242 citations). Yutaka Miyazaki has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Masakado Matsumoto, Reiji Hiramatsu, Kenji Sakae, Yuko Ito, Hisao Oka, Takayuki Ito, Yukio Toki, Satoru Sugiyama, Yasumoto Suzuki and Yoshitomo Ikai. Their work appears in journals such as Journal of the American College of Cardiology, PLoS ONE and Applied and Environmental Microbiology.
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.