Stuart R. Miyasato
- Molecular Biology top 5%
- Infectious Diseases top 5%
- Plant Science top 5%
- Epidemiology top 10%
- Genetics top 10%
- Co-authors
- Marek S. SkrzypekGail BinkleyMatt SimisonGavin SherlockJ. Michael CherryBenjamin C. HitzJonathan BinkleyEsther T. Chan
- Topics
- Genomics and Phylogenetic Studies (7 papers)Antifungal resistance and susceptibility (6 papers)Fungal and yeast genetics research (6 papers)
- Partner nations
- United States
In The Last Decade
Stuart R. Miyasato
18 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Molecular Biology 1.9k
- Infectious Diseases 547
- Plant Science 373
- Epidemiology 360
- Genetics 244
Countries citing papers authored by Stuart R. Miyasato
This map shows the geographic impact of Stuart R. Miyasato'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 Stuart R. Miyasato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stuart R. Miyasato more than expected).
Fields of papers citing papers by Stuart R. Miyasato
This network shows the impact of papers produced by Stuart R. Miyasato. 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 Stuart R. Miyasato. The network helps show where Stuart R. Miyasato may publish in the future.
Co-authorship network of co-authors of Stuart R. Miyasato
This figure shows the co-authorship network connecting the top 25 collaborators of Stuart R. Miyasato. A scholar is included among the top collaborators of Stuart R. Miyasato 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 Stuart R. Miyasato. Stuart R. Miyasato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 58 | |
| 3 | 43 | |
| 4 | 13 | |
| 5 | 5 | |
| 6 | 24 | |
| 7 | The Encyclopedia of DNA elements (ENCODE): data portal updatebreakdown → | 1060 |
| 8 | TheCandidaGenome Database (CGD): incorporation of Assembly 22, systematic identifiers and visualization of high throughput sequencing databreakdown → | 310 |
| 9 | 30 | |
| 10 | 287 | |
| 11 | 205 | |
| 12 | 28 | |
| 13 | 166 | |
| 14 | 132 | |
| 15 | 51 | |
| 16 | 99 | |
| 17 | 58 | |
| 18 | 19 |
About Stuart R. Miyasato
Stuart R. Miyasato is a scholar working on Periodontics, Food Science and Infectious Diseases, having authored 18 papers that have together received 2.6k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), Antifungal resistance and susceptibility (6 papers) and Fungal and yeast genetics research (6 papers). The work is most often cited by research in Infectious Diseases (547 citations), Molecular Biology (1.9k citations) and Cancer Research (233 citations). Stuart R. Miyasato has collaborated with scholars based in United States. Frequent co-authors include Marek S. Skrzypek, Gail Binkley, Matt Simison, Gavin Sherlock, J. Michael Cherry, Benjamin C. Hitz, Jonathan Binkley, Esther T. Chan, Cricket A. Sloan and J. Seth Strattan. Their work appears in journals such as Nucleic Acids Research, Genetics and FEMS Yeast Research.
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.