Kazuyasu Miyoshi
- Infectious Diseases top 2%
- Molecular Biology
- Biomedical Engineering
- Radiology, Nuclear Medicine and Imaging top 10%
- Neurology top 10%
- Co-authors
- Kazuo ImaiToshimitsu ItoKaku TamuraSakiko TabataSatoshi MimuraTakamasa UenoYasumasa IwataniToong Seng Tan
- Topics
- SARS-CoV-2 and COVID-19 Research (6 papers)COVID-19 Clinical Research Studies (5 papers)SARS-CoV-2 detection and testing (4 papers)
- Partner nations
- Japan
In The Last Decade
Kazuyasu Miyoshi
15 papers receiving 915 citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Infectious Diseases 783
- Molecular Biology 208
- Biomedical Engineering 186
- Radiology, Nuclear Medicine and Imaging 129
- Neurology 111
Countries citing papers authored by Kazuyasu Miyoshi
This map shows the geographic impact of Kazuyasu Miyoshi'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 Kazuyasu Miyoshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuyasu Miyoshi more than expected).
Fields of papers citing papers by Kazuyasu Miyoshi
This network shows the impact of papers produced by Kazuyasu Miyoshi. 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 Kazuyasu Miyoshi. The network helps show where Kazuyasu Miyoshi may publish in the future.
Co-authorship network of co-authors of Kazuyasu Miyoshi
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuyasu Miyoshi. A scholar is included among the top collaborators of Kazuyasu Miyoshi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kazuyasu Miyoshi. Kazuyasu Miyoshi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | SARS-CoV-2 D614G spike mutation increases entry efficiency with enhanced ACE2-binding affinitybreakdown → | 310 |
| 3 | 41 | |
| 4 | 11 | |
| 5 | 82 | |
| 6 | 170 | |
| 7 | 11 | |
| 8 | 283 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 4 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | [Reproduction study on netilmicin. (1) Teratological study in rats (author's transl)]. | 1 |
| 16 | [Cefazolin. 2. Primary clinical trial by oral administration]. | 1 |
About Kazuyasu Miyoshi
Kazuyasu Miyoshi is a scholar working on Applied Microbiology and Biotechnology, Critical Care and Intensive Care Medicine and Infectious Diseases, having authored 16 papers that have together received 927 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (5 papers) and SARS-CoV-2 detection and testing (4 papers). The work is most often cited by research in Infectious Diseases (783 citations), General Dentistry (38 citations) and Modeling and Simulation (63 citations). Kazuyasu Miyoshi has collaborated with scholars based in Japan. Frequent co-authors include Kazuo Imai, Toshimitsu Ito, Kaku Tamura, Sakiko Tabata, Satoshi Mimura, Takamasa Ueno, Yasumasa Iwatani, Toong Seng Tan, Satoshi Kishigami and Hirotaka Ode. Their work appears in journals such as Nature Communications, Journal of Clinical Microbiology and The Lancet Infectious Diseases.
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.