Hidekazu Sugimori
- Structural Biology top 5%
- Surfaces, Coatings and Films top 5%
- Electron and X-Ray Spectroscopy Techniques 4
- Organic Chemistry top 10%
- Advanced Polymer Synthesis and Characterization 7
-
- Block Copolymer Self-Assembly 12
- Machine Learning in Materials Science 5
- Advancements in Solid Oxide Fuel Cells 2
-
- Electrocatalysts for Energy Conversion 4
-
- Fuel Cells and Related Materials 4
-
- Fluid Dynamics and Thin Films 3
- Co-authors
- Hiroshi JinnaiTakeshi HiguchiHiroshi YabuKiwamu MotoyoshiMasatsugu ShimomuraToshio NishiSong HongTakeshi Kaneko
- Partner nations
- JapanGermanySouth Korea
In The Last Decade
Hidekazu Sugimori
24 papers receiving 425 citations
Peers
Comparison fields: 5 of 37
- Structural Biology 38
- Surfaces, Coatings and Films 103
- Organic Chemistry 235
- Materials Chemistry 338
- Polymers and Plastics 48
Countries citing papers authored by Hidekazu Sugimori
This map shows the geographic impact of Hidekazu Sugimori'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 Hidekazu Sugimori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hidekazu Sugimori more than expected).
Fields of papers citing papers by Hidekazu Sugimori
This network shows the impact of papers produced by Hidekazu Sugimori. 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 Hidekazu Sugimori. The network helps show where Hidekazu Sugimori may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hidekazu Sugimori, 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 | 2021 | 3 | |
| 2 | 2020 | 2 | |
| 3 | 2018 | 7 | |
| 4 | 2017 | 2 | |
| 5 | 2017 | 3 | |
| 6 | 2017 | 4 | |
| 7 | 2016 | 6 | |
| 8 | 2015 | 7 | |
| 9 | 2014 | 9 | |
| 10 | 2014 | 20 | |
| 11 | 2013 | 57 | |
| 12 | 2012 | 16 | |
| 13 | 2012 | 12 | |
| 14 | 2011 | 18 | |
| 15 | 2010 | 95 | |
| 16 | 2010 | 1 | |
| 17 | 2009 | 1 | |
| 18 | 2008 | 7 | |
| 19 | 2008 | 29 | |
| 20 | 2005 | 57 |
About Hidekazu Sugimori
Hidekazu Sugimori is a scholar working on Surfaces, Coatings and Films, Structural Biology, Materials Chemistry, Fluid Flow and Transfer Processes and Renewable Energy, Sustainability and the Environment, having authored 24 papers that have together received 428 indexed citations. Recurring topics across this work include Block Copolymer Self-Assembly (12 papers), Advanced Polymer Synthesis and Characterization (7 papers), Machine Learning in Materials Science (5 papers), Electrocatalysts for Energy Conversion (4 papers), Fuel Cells and Related Materials (4 papers), Electron and X-Ray Spectroscopy Techniques (4 papers), Fluid Dynamics and Thin Films (3 papers) and Advancements in Solid Oxide Fuel Cells (2 papers). The work is most often cited by research in Structural Biology (38 citations), Surfaces, Coatings and Films (103 citations), Organic Chemistry (235 citations), Materials Chemistry (338 citations) and Polymers and Plastics (48 citations). Hidekazu Sugimori has collaborated with scholars based in Japan, Germany and South Korea. Frequent co-authors include Hiroshi Jinnai, Takeshi Higuchi, Hiroshi Yabu, Kiwamu Motoyoshi, Masatsugu Shimomura, Toshio Nishi, Song Hong, Takeshi Kaneko, Atsushi Takahara and Volker Abetz. Their work appears in journals such as Macromolecules, Soft Matter, Polymer Journal, ChemNanoMat and Membranes.
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.