M. Ono
- Nuclear and High Energy Physics top 0.5%
- Magnetic confinement fusion research 132
- Laser-Plasma Interactions and Diagnostics 24
- Astronomy and Astrophysics top 2%
- Ionosphere and magnetosphere dynamics 45
- Aerospace Engineering top 1%
- Particle accelerators and beam dynamics 53
- Condensed Matter Physics top 5%
- Physics of Superconductivity and Magnetism 21
- Biomedical Engineering top 5%
- Superconducting Materials and Applications 56
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- Fusion materials and technologies 34
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- Plasma Diagnostics and Applications 33
M. Ono
184 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Nuclear and High Energy Physics 2.2k
- Astronomy and Astrophysics 1.2k
- Aerospace Engineering 767
- Condensed Matter Physics 284
- Biomedical Engineering 607
Countries citing papers authored by M. Ono
This map shows the geographic impact of M. Ono'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 M. Ono with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Ono more than expected).
Fields of papers citing papers by M. Ono
This network shows the impact of papers produced by M. Ono. 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 M. Ono. The network helps show where M. Ono may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M. Ono, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 4 | |
| 8 | 2021 | 3 | |
| 9 | 2020 | 3 | |
| 10 | Emissive Limiter Bias Experiment for Improved Confinement of Tokamaks | 2013 | 0 |
| 11 | 2013 | 17 | |
| 12 | 2010 | 33 | |
| 13 | 2009 | 1 | |
| 14 | 2006 | 36 | |
| 15 | 1996 | 1 | |
| 16 | 1993 | 13 | |
| 17 | 1992 | 63 | |
| 18 | 1990 | 13 | |
| 19 | Inhibitory Effects of Citric Acid in Enzymic Debittering of Citrus Fruit Juice | 1980 | 7 |
| 20 | Preparation and Properties of Naringinase Immobilized by Ionic Binding to DEAE-Sephadex : | 1977 | 14 |
About M. Ono
M. Ono is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Aerospace Engineering, Condensed Matter Physics and Biomedical Engineering, having authored 207 papers that have together received 3.0k indexed citations. Recurring topics across this work include Magnetic confinement fusion research (132 papers), Superconducting Materials and Applications (56 papers), Particle accelerators and beam dynamics (53 papers), Ionosphere and magnetosphere dynamics (45 papers), Fusion materials and technologies (34 papers), Plasma Diagnostics and Applications (33 papers), Laser-Plasma Interactions and Diagnostics (24 papers) and Physics of Superconductivity and Magnetism (21 papers). The work is most often cited by research in Nuclear and High Energy Physics (2.2k citations), Astronomy and Astrophysics (1.2k citations), Aerospace Engineering (767 citations), Condensed Matter Physics (284 citations) and Biomedical Engineering (607 citations). M. Ono has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include K. L. Wong, Patrick Pribyl, J.R. Liberati, Robert J. Taylor, D. Darrow, H. Grote, Michael D. Brown, G. J. Morales, Burton D. Fried and C. B. Forest. Their work appears in journals such as Nuclear Fusion, IEEE Transactions on Applied Superconductivity, Physics of Plasmas, Physical Review Letters and Review of Scientific Instruments.
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.