Jun Ashida
Impact in
- Biomaterials top 5%
- Silk-based biomaterials and applications
- Spectroscopy top 5%
- Advanced NMR Techniques and Applications
Papers in
- Spectroscopy 13
- Advanced NMR Techniques and Applications 13
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- Solid-state spectroscopy and crystallography 8
- Co-authors
- Tetsuo Asakura (10 shared papers)Kosuke Ohgo (7 shared papers)Takehiko Terao (6 shared papers)Toshihito Nakai (5 shared papers)Tsunenori Kameda (3 shared papers)Tsutomu Yamane (2 shared papers)Yasumoto Nakazawa (1 shared paper)Yoshitaka Ishii (1 shared paper)
- Journals
- Chemical Physics Letters (5 papers)Journal of Magnetic Resonance (3 papers)Biomacromolecules (2 papers)Magnetic Resonance in Chemistry (1 paper)Molecular Physics (1 paper)
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Jun Ashida
23 papers receiving 709 citations
Peers
Comparison fields: 5 of 68
- Biomaterials 373
- Spectroscopy 264
- Microbiology 82
- Nuclear and High Energy Physics 148
- Insect Science 89
Countries citing papers authored by Jun Ashida
This map shows the geographic impact of Jun Ashida'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 Jun Ashida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ashida more than expected).
Fields of papers citing papers by Jun Ashida
This network shows the impact of papers produced by Jun Ashida. 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 Jun Ashida. The network helps show where Jun Ashida may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ashida, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 215 | |
| 2 | 1995 | 85 | |
| 3 | 2003 | 55 | |
| 4 | 1988 | 47 | |
| 5 | 2006 | 46 | |
| 6 | 1989 | 38 | |
| 7 | 2005 | 37 | |
| 8 | 2016 | 23 | |
| 9 | 2012 | 22 | |
| 10 | 1989 | 19 | |
| 11 | 2002 | 19 | |
| 12 | 1990 | 18 | |
| 13 | 2020 | 18 | |
| 14 | 2006 | 15 | |
| 15 | 2003 | 14 | |
| 16 | 1999 | 14 | |
| 17 | 2005 | 13 | |
| 18 | 2003 | 12 | |
| 19 | 2002 | 6 | |
| 20 | 2006 | 5 |
About Jun Ashida
Jun Ashida is a scholar working on Spectroscopy, Materials Chemistry, Nuclear and High Energy Physics, Biomaterials and Plant Science, having authored 24 papers that have together received 728 indexed citations. Recurring topics across this work include Advanced NMR Techniques and Applications (13 papers), NMR spectroscopy and applications (8 papers), Solid-state spectroscopy and crystallography (8 papers), Silk-based biomaterials and applications (6 papers), Connective tissue disorders research (3 papers), Electron Spin Resonance Studies (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Plant Micronutrient Interactions and Effects (1 paper). The work is most often cited by research in Biomaterials (373 citations), Spectroscopy (264 citations), Microbiology (82 citations), Nuclear and High Energy Physics (148 citations) and Insect Science (89 citations). Jun Ashida has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Tetsuo Asakura, Kosuke Ohgo, Takehiko Terao, Toshihito Nakai, Tsunenori Kameda, Tsutomu Yamane, Yasumoto Nakazawa, Yoshitaka Ishii, Kristin K. Kumashiro and Toshiharu Nakai. Their work appears in journals such as Chemical Physics Letters, Journal of Magnetic Resonance, Biomacromolecules, Magnetic Resonance in Chemistry and Molecular Physics.
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.