Rintaro Higuchi
Impact in
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- Advanced Memory and Neural Computing
- Molecular Junctions and Nanostructures
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- Covalent Organic Framework Applications
- Graphene research and applications
Papers in
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- Advanced Memory and Neural Computing 5
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- Covalent Organic Framework Applications 4
- Porphyrin and Phthalocyanine Chemistry 3
- Co-authors
- Adam Z. Stieg (8 shared papers)James K. Gimzewski (8 shared papers)Shinobu Uemura (9 shared papers)Masashi Kunitake (9 shared papers)Tomonobu Nakayama (7 shared papers)Nobuo Kimizuka (6 shared papers)Yoshitaka Shingaya (5 shared papers)Adrian Diaz‐Alvarez (3 shared papers)
- Journals
- Langmuir (2 papers)Japanese Journal of Applied Physics (1 paper)Scientific Reports (1 paper)Chemical Communications (1 paper)RSC Advances (1 paper)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Rintaro Higuchi
17 papers receiving 438 citations
Peers
Comparison fields: 5 of 36
- Electrical and Electronic Engineering 249
- Materials Chemistry 191
- Biomedical Engineering 178
- Cognitive Neuroscience 75
- Inorganic Chemistry 48
Countries citing papers authored by Rintaro Higuchi
This map shows the geographic impact of Rintaro Higuchi'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 Rintaro Higuchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rintaro Higuchi more than expected).
Fields of papers citing papers by Rintaro Higuchi
This network shows the impact of papers produced by Rintaro Higuchi. 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 Rintaro Higuchi. The network helps show where Rintaro Higuchi may publish in the future.
Co-authors
The 25 scholars most cited alongside Rintaro Higuchi, 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 | 2011 | 147 | |
| 2 | 2019 | 107 | |
| 3 | 2020 | 29 | |
| 4 | 2012 | 29 | |
| 5 | 2016 | 19 | |
| 6 | 2020 | 15 | |
| 7 | 2014 | 14 | |
| 8 | 2014 | 13 | |
| 9 | 2012 | 12 | |
| 10 | 2013 | 12 | |
| 11 | 2018 | 11 | |
| 12 | 2013 | 9 | |
| 13 | 2023 | 7 | |
| 14 | 2020 | 6 | |
| 15 | 2012 | 5 | |
| 16 | 2016 | 3 | |
| 17 | 1981 | 3 | |
| 18 | 2024 | 0 |
About Rintaro Higuchi
Rintaro Higuchi is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Biomedical Engineering, Cellular and Molecular Neuroscience and Polymers and Plastics, having authored 18 papers that have together received 441 indexed citations. Recurring topics across this work include Surface Chemistry and Catalysis (6 papers), Advanced Memory and Neural Computing (5 papers), Covalent Organic Framework Applications (4 papers), Neuroscience and Neural Engineering (3 papers), Conducting polymers and applications (3 papers), Porphyrin and Phthalocyanine Chemistry (3 papers), Photoreceptor and optogenetics research (3 papers) and Neural dynamics and brain function (3 papers). The work is most often cited by research in Electrical and Electronic Engineering (249 citations), Materials Chemistry (191 citations), Biomedical Engineering (178 citations), Cognitive Neuroscience (75 citations) and Inorganic Chemistry (48 citations). Rintaro Higuchi has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Adam Z. Stieg, James K. Gimzewski, Shinobu Uemura, Masashi Kunitake, Tomonobu Nakayama, Nobuo Kimizuka, Yoshitaka Shingaya, Adrian Diaz‐Alvarez, Paula Sanz‐Leon and Zdenka Kuncic. Their work appears in journals such as Langmuir, Japanese Journal of Applied Physics, Scientific Reports, Chemical Communications and RSC Advances.
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.