Makoto Miyata
- Microbiology top 0.1%
- Microbial infections and disease research 81
- Ecology top 1%
- Bacteriophages and microbial interactions 79
- Structural Biology top 5%
- Immunology top 5%
- Aquaculture disease management and microbiota 38
- Condensed Matter Physics top 5%
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- Bacterial Genetics and Biotechnology 13
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- Genomics and Phylogenetic Studies 12
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- Plant Virus Research Studies 10
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- Pneumonia and Respiratory Infections 10
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- Streptococcal Infections and Treatments 7
- Co-authors
- Atsuko UenoyamaShintaro SetoDaisuke NakaneTsuyoshi KenriTasuku HamaguchiTaro Q.P. UyedaY. HiratsukaYuhei O. Tahara
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Nucleic Acids Research (2 papers)Journal of Biological Chemistry (1 paper)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Makoto Miyata
136 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 114
- Microbiology 1.8k
- Ecology 1.5k
- Structural Biology 53
- Immunology 737
- Condensed Matter Physics 185
Countries citing papers authored by Makoto Miyata
This map shows the geographic impact of Makoto Miyata'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 Makoto Miyata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makoto Miyata more than expected).
Fields of papers citing papers by Makoto Miyata
This network shows the impact of papers produced by Makoto Miyata. 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 Makoto Miyata. The network helps show where Makoto Miyata may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Makoto Miyata, 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 | 2025 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 14 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 11 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 8 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 12 | |
| 10 | 2022 | 15 | |
| 11 | 2021 | 15 | |
| 12 | 2021 | 14 | |
| 13 | 2021 | 7 | |
| 14 | 2020 | 5 | |
| 15 | 2019 | 15 | |
| 16 | 2019 | 13 | |
| 17 | 2019 | 21 | |
| 18 | 2017 | 74 | |
| 19 | FLOWER-SHAPED MICROMOTORS DRIVEN BY GLIDING BACTERIA | 2011 | 0 |
| 20 | 2005 | 71 |
About Makoto Miyata
Makoto Miyata is a scholar working on Microbiology, Ecology and Structural Biology, having authored 141 papers that have together received 3.1k indexed citations. Recurring topics across this work include Microbial infections and disease research (81 papers), Bacteriophages and microbial interactions (79 papers), Aquaculture disease management and microbiota (38 papers), Bacterial Genetics and Biotechnology (13 papers), Genomics and Phylogenetic Studies (12 papers), Plant Virus Research Studies (10 papers), Pneumonia and Respiratory Infections (10 papers) and Streptococcal Infections and Treatments (7 papers). The work is most often cited by research in Microbiology (1.8k citations), Ecology (1.5k citations) and Structural Biology (53 citations). Makoto Miyata has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Atsuko Uenoyama, Shintaro Seto, Daisuke Nakane, Tsuyoshi Kenri, Tasuku Hamaguchi, Taro Q.P. Uyeda, Y. Hiratsuka, Yuhei O. Tahara, Tetsuya Tada and Howard C. Berg. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.