T. Ono
Impact in
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- Bone health and osteoporosis research
- Bone and Joint Diseases
Papers in
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- Bone Metabolism and Diseases 9
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- Ion-surface interactions and analysis 13
- Co-authors
- Tomoki Nakashima (15 shared papers)Hiroshi Takayanagi (6 shared papers)Mikihito Hayashi (5 shared papers)F Sasaki (3 shared papers)V.R. Potter (1 shared paper)Kazuo Okamoto (2 shared papers)Takeshi Nitta (1 shared paper)Yoichiro Iwakura (1 shared paper)
In The Last Decade
T. Ono
52 papers receiving 1.9k citations
T. Ono's Hit Papers
Peers
Comparison fields: 5 of 132
- Complementary and Manual Therapy 46
- Orthopedics and Sports Medicine 160
- Rheumatology 216
- Nuclear and High Energy Physics 171
- Periodontics 53
Countries citing papers authored by T. Ono
This map shows the geographic impact of T. 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 T. Ono with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Ono more than expected).
Fields of papers citing papers by T. Ono
This network shows the impact of papers produced by T. 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 T. Ono. The network helps show where T. Ono may publish in the future.
Co-authors
The 25 scholars most cited alongside T. 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
Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | RANKL biology: bone metabolism, the immune system, and beyond Hit paper breakdown → | 2020 | 383 |
| 2 | 2018 | 317 | |
| 3 | 2016 | 291 | |
| 4 | 2017 | 159 | |
| 5 | 1994 | 145 | |
| 6 | 1961 | 90 | |
| 7 | 2017 | 80 | |
| 8 | 2017 | 74 | |
| 9 | 2019 | 45 | |
| 10 | 1976 | 43 | |
| 11 | Large fluffy particles: a possible explanation of the optical properties of interplanetary dust. | 1978 | 42 |
| 12 | 2017 | 33 | |
| 13 | 2021 | 30 | |
| 14 | 2020 | 26 | |
| 15 | Infrared observations of Comet West(1975n)-1-Observational Results | 1978 | 22 |
| 16 | 2019 | 22 | |
| 17 | 1986 | 15 | |
| 18 | 2022 | 15 | |
| 19 | 1984 | 14 | |
| 20 | 2002 | 13 |
About T. Ono
T. Ono is a scholar working on Molecular Biology, Computational Mechanics, Materials Chemistry, Electrical and Electronic Engineering and Oncology, having authored 54 papers that have together received 2.0k indexed citations. Recurring topics across this work include Ion-surface interactions and analysis (13 papers), Bone Metabolism and Diseases (9 papers), Fusion materials and technologies (6 papers), Magnetic confinement fusion research (5 papers), Nuclear Materials and Properties (4 papers), Bone health and treatments (4 papers), NF-κB Signaling Pathways (4 papers) and Plasma Diagnostics and Applications (3 papers). The work is most often cited by research in Complementary and Manual Therapy (46 citations), Orthopedics and Sports Medicine (160 citations), Rheumatology (216 citations), Nuclear and High Energy Physics (171 citations) and Periodontics (53 citations). T. Ono has collaborated with scholars based in Japan, China and Austria. Frequent co-authors include Tomoki Nakashima, Hiroshi Takayanagi, Mikihito Hayashi, F Sasaki, V.R. Potter, Kazuo Okamoto, Takeshi Nitta, Yoichiro Iwakura, Shohei Hori and Takashi Ono. Their work appears in journals such as Journal of Nuclear Materials, Inflammation and Regeneration, Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms, Scientific Reports and Journal of Dental 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.