Eiji Kimura
Impact in
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications
- Structural Biology top 10%
Papers in
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- Visual perception and processing mechanisms 26
- Neural dynamics and brain function 6
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- Color Science and Applications 14
- Force Microscopy Techniques and Applications 3
- Co-authors
- Bin Ding (2 shared papers)Seimei Shiratori (2 shared papers)Shiro Fujita (1 shared paper)Rockefeller S.L. Young (6 shared papers)Mohammad Ariful Islam (1 shared paper)Jun Kunitomo (4 shared papers)Morihisa Saitoh (4 shared papers)Noriko Uchiyama (3 shared papers)
- Journals
- Journal of Vision (10 papers)Vision Research (7 papers)Bioorganic & Medicinal Chemistry (3 papers)PLoS ONE (2 papers)Chemistry Letters (2 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Eiji Kimura
64 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 134
- Biomaterials 311
- Structural Biology 26
- Surfaces, Coatings and Films 95
- Endocrine and Autonomic Systems 71
- Sensory Systems 43
Countries citing papers authored by Eiji Kimura
This map shows the geographic impact of Eiji Kimura'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 Eiji Kimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eiji Kimura more than expected).
Fields of papers citing papers by Eiji Kimura
This network shows the impact of papers produced by Eiji Kimura. 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 Eiji Kimura. The network helps show where Eiji Kimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Eiji Kimura, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 301 | |
| 2 | 2009 | 102 | |
| 3 | 2009 | 93 | |
| 4 | 2010 | 88 | |
| 5 | 2004 | 79 | |
| 6 | 2011 | 75 | |
| 7 | 2012 | 75 | |
| 8 | 2018 | 60 | |
| 9 | 1994 | 59 | |
| 10 | 1994 | 59 | |
| 11 | 2008 | 58 | |
| 12 | 1997 | 45 | |
| 13 | 2004 | 40 | |
| 14 | 2002 | 37 | |
| 15 | 2005 | 30 | |
| 16 | 1995 | 27 | |
| 17 | 1992 | 21 | |
| 18 | 2022 | 20 | |
| 19 | 1992 | 20 | |
| 20 | 2013 | 17 |
About Eiji Kimura
Eiji Kimura is a scholar working on Cognitive Neuroscience, Atomic and Molecular Physics, and Optics, Molecular Biology, Social Psychology and Biomedical Engineering, having authored 73 papers that have together received 1.5k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (26 papers), Color perception and design (14 papers), Color Science and Applications (14 papers), Neural dynamics and brain function (6 papers), Olfactory and Sensory Function Studies (4 papers), Circadian rhythm and melatonin (3 papers), Force Microscopy Techniques and Applications (3 papers) and Wnt/β-catenin signaling in development and cancer (3 papers). The work is most often cited by research in Biomaterials (311 citations), Structural Biology (26 citations), Surfaces, Coatings and Films (95 citations), Endocrine and Autonomic Systems (71 citations) and Sensory Systems (43 citations). Eiji Kimura has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Bin Ding, Seimei Shiratori, Shiro Fujita, Rockefeller S.L. Young, Mohammad Ariful Islam, Jun Kunitomo, Morihisa Saitoh, Noriko Uchiyama, Jin-Ho Kim and Hideo Nagashima. Their work appears in journals such as Journal of Vision, Vision Research, Bioorganic & Medicinal Chemistry, PLoS ONE and Chemistry Letters.
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.