Shinya Mizuno
- Equine top 1%
- Veterinary Equine Medical Research 5
- Small Animals top 2%
- Animal health and immunology 6
- Hepatology top 10%
- Liver physiology and pathology 5
- Condensed Matter Physics top 10%
- GaN-based semiconductor devices and materials 9
- Agronomy and Crop Science top 10%
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- Radio Frequency Integrated Circuit Design 9
- Advanced Power Amplifier Design 5
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- Transgenic Plants and Applications 3
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- Virus-based gene therapy research 2
- Co-authors
- Toru FUJINAGAMasahiro OkumuraNobuo TSUNODAToshikazu NakamuraMitsuyoshi TakiguchiKazuto YamashitaYutaka OhnoK. Maezawa
- Cited by
- EquineSmall AnimalsHepatology
- Journals
- SHILAP Revista de lepidopterología (1 paper)Gastroenterology (1 paper)PLoS ONE (1 paper)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Shinya Mizuno
50 papers receiving 771 citations
Peers
Comparison fields: 5 of 128
- Equine 122
- Small Animals 136
- Hepatology 90
- Condensed Matter Physics 126
- Agronomy and Crop Science 59
Countries citing papers authored by Shinya Mizuno
This map shows the geographic impact of Shinya Mizuno'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 Shinya Mizuno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shinya Mizuno more than expected).
Fields of papers citing papers by Shinya Mizuno
This network shows the impact of papers produced by Shinya Mizuno. 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 Shinya Mizuno. The network helps show where Shinya Mizuno may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shinya Mizuno, 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 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2022 | 17 | |
| 5 | 2020 | 2 | |
| 6 | Effect of Simulated Cooperation on Optimal Node Placement Using a Queuing Network:—A Case Study at Hamanako Garden Park— | 2019 | 1 |
| 7 | 2017 | 53 | |
| 8 | 2016 | 5 | |
| 9 | An X-band 310 W High Power GaN HEMT Amplifier | 2015 | 1 |
| 10 | 2010 | 13 | |
| 11 | 2006 | 74 | |
| 12 | 2006 | 7 | |
| 13 | 2002 | 1 | |
| 14 | 1998 | 1 | |
| 15 | 1997 | 2 | |
| 16 | 1996 | 3 | |
| 17 | 1994 | 16 | |
| 18 | 1993 | 2 | |
| 19 | 1990 | 51 | |
| 20 | 1990 | 3 |
About Shinya Mizuno
Shinya Mizuno is a scholar working on Equine, Condensed Matter Physics and Small Animals, having authored 55 papers that have together received 813 indexed citations. Recurring topics across this work include Radio Frequency Integrated Circuit Design (9 papers), GaN-based semiconductor devices and materials (9 papers), Animal health and immunology (6 papers), Liver physiology and pathology (5 papers), Advanced Power Amplifier Design (5 papers), Veterinary Equine Medical Research (5 papers), Transgenic Plants and Applications (3 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Equine (122 citations), Small Animals (136 citations) and Hepatology (90 citations). Shinya Mizuno has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Toru FUJINAGA, Masahiro Okumura, Nobuo TSUNODA, Toshikazu Nakamura, Mitsuyoshi Takiguchi, Kazuto Yamashita, Yutaka Ohno, K. Maezawa, Takashi Mizutani and Shigeru Kishimoto. Their work appears in journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.
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.