Jun Ashida
Impact in
- Spectroscopy top 5%
- Advanced NMR Techniques and Applications
- Biomaterials top 10%
- Silk-based biomaterials and applications
Papers in
- Spectroscopy 12
- Advanced NMR Techniques and Applications 12
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- NMR spectroscopy and applications 8
- Co-authors
- Takehiko Terao (6 shared papers)Tetsuo Asakura (9 shared papers)Kosuke Ohgo (6 shared papers)Toshihito Nakai (5 shared papers)Yoshitaka Ishii (1 shared paper)Kristin K. Kumashiro (2 shared papers)Toshiharu Nakai (1 shared paper)Arihiro Kanazawa (1 shared paper)
- Journals
- Chemical Physics Letters (5 papers)Journal of Magnetic Resonance (3 papers)Biomacromolecules (2 papers)Journal of Biomolecular NMR (1 paper)The Journal of Physical Chemistry B (1 paper)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Jun Ashida
23 papers receiving 498 citations
Peers
Comparison fields: 5 of 56
- Spectroscopy 244
- Biomaterials 177
- Nuclear and High Energy Physics 143
- Microbiology 30
- Biophysics 28
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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 82 | |
| 2 | 2003 | 55 | |
| 3 | 1988 | 46 | |
| 4 | 2006 | 46 | |
| 5 | 1989 | 37 | |
| 6 | 2005 | 37 | |
| 7 | 2016 | 23 | |
| 8 | 2012 | 23 | |
| 9 | 2020 | 21 | |
| 10 | 1989 | 19 | |
| 11 | 2002 | 19 | |
| 12 | 1990 | 18 | |
| 13 | 2006 | 15 | |
| 14 | 2003 | 14 | |
| 15 | 1999 | 14 | |
| 16 | 2005 | 13 | |
| 17 | 2003 | 12 | |
| 18 | 2002 | 6 | |
| 19 | 2006 | 5 | |
| 20 | 2025 | 4 |
About Jun Ashida
Jun Ashida is a scholar working on Spectroscopy, Nuclear and High Energy Physics, Biomaterials, Materials Chemistry and Plant Science, having authored 23 papers that have together received 516 indexed citations. Recurring topics across this work include Advanced NMR Techniques and Applications (12 papers), NMR spectroscopy and applications (8 papers), Solid-state spectroscopy and crystallography (8 papers), Silk-based biomaterials and applications (5 papers), Connective tissue disorders research (3 papers), Plant Reproductive Biology (1 paper), 14-3-3 protein interactions (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Spectroscopy (244 citations), Biomaterials (177 citations), Nuclear and High Energy Physics (143 citations), Microbiology (30 citations) and Biophysics (28 citations). Jun Ashida has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Takehiko Terao, Tetsuo Asakura, Kosuke Ohgo, Toshihito Nakai, Yoshitaka Ishii, Kristin K. Kumashiro, Toshiharu Nakai, Arihiro Kanazawa, Shokyoku Kanaoka and Sadahito Aoshima. Their work appears in journals such as Chemical Physics Letters, Journal of Magnetic Resonance, Biomacromolecules, Journal of Biomolecular NMR and The Journal of Physical Chemistry B.
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.