Nobuyuki Higashi
- Surfaces, Coatings and Films top 1%
- Polymer Surface Interaction Studies 32
- Biomaterials top 1%
- Supramolecular Self-Assembly in Materials 38
- Molecular Medicine top 2%
- Polymers and Plastics top 5%
- Organic Chemistry top 2%
- Advanced Polymer Synthesis and Characterization 28
- Polydiacetylene-based materials and applications 17
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- Molecular Junctions and Nanostructures 26
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- Lipid Membrane Structure and Behavior 16
- Advanced biosensing and bioanalysis techniques 16
- Chemical Synthesis and Analysis 15
Nobuyuki Higashi
149 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 92
- Surfaces, Coatings and Films 563
- Biomaterials 726
- Molecular Medicine 187
- Polymers and Plastics 390
- Organic Chemistry 786
Countries citing papers authored by Nobuyuki Higashi
This map shows the geographic impact of Nobuyuki Higashi'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 Nobuyuki Higashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nobuyuki Higashi more than expected).
Fields of papers citing papers by Nobuyuki Higashi
This network shows the impact of papers produced by Nobuyuki Higashi. 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 Nobuyuki Higashi. The network helps show where Nobuyuki Higashi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nobuyuki Higashi, 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 | 2023 | 6 | |
| 2 | 2023 | 3 | |
| 3 | 2018 | 18 | |
| 4 | 2017 | 27 | |
| 5 | 2010 | 2 | |
| 6 | 2009 | 68 | |
| 7 | 2009 | 10 | |
| 8 | 2009 | 1 | |
| 9 | Supramolecular nanoarchitectures from fullerene-tagged sequential peptides by self-assembly | 2006 | 1 |
| 10 | 2006 | 25 | |
| 11 | 2006 | 13 | |
| 12 | 2005 | 47 | |
| 13 | 2002 | 26 | |
| 14 | 2000 | 1 | |
| 15 | 1999 | 24 | |
| 16 | 1998 | 14 | |
| 17 | 1994 | 15 | |
| 18 | 1991 | 6 | |
| 19 | 1986 | 1 | |
| 20 | 1985 | 2 |
About Nobuyuki Higashi
Nobuyuki Higashi is a scholar working on Surfaces, Coatings and Films, Biomaterials and Molecular Medicine, having authored 150 papers that have together received 2.4k indexed citations. Recurring topics across this work include Supramolecular Self-Assembly in Materials (38 papers), Polymer Surface Interaction Studies (32 papers), Advanced Polymer Synthesis and Characterization (28 papers), Molecular Junctions and Nanostructures (26 papers), Polydiacetylene-based materials and applications (17 papers), Lipid Membrane Structure and Behavior (16 papers), Advanced biosensing and bioanalysis techniques (16 papers) and Chemical Synthesis and Analysis (15 papers). The work is most often cited by research in Surfaces, Coatings and Films (563 citations), Biomaterials (726 citations) and Molecular Medicine (187 citations). Nobuyuki Higashi has collaborated with scholars based in Japan, Germany and Taiwan. Frequent co-authors include Masazo Niwa, Tomoyuki Koga, Toyoki Kunitake, Shin‐nosuke Nishimura, Kazue Kurihara, Tisato Kajiyama, Naohiro Terasawa, Kinji Asaka, Takashi Abe and Masaaki Morikawa. Their work appears in journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.
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.