Hideaki Sugawara
- Ecology top 10%
- Microbial Community Ecology and Physiology 9
- Environmental DNA in Biodiversity Studies 4
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- Genomics and Phylogenetic Studies 21
- Gene expression and cancer classification 5
- Machine Learning in Bioinformatics 4
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- Copper Interconnects and Reliability 4
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- Surface and Thin Film Phenomena 5
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- Microwave-Assisted Synthesis and Applications 3
- Co-authors
- Takashi AbeToshimichi IkemuraShigehiko KanayaMartin ShumwayGuy CochraneAkira KINBARAMakoto KinouchiSatoru Miyazaki
- Partner nations
- JapanUnited StatesRussia
In The Last Decade
Hideaki Sugawara
56 papers receiving 727 citations
Peers
Comparison fields: 5 of 121
- Ceramics and Composites 34
- Ecology 146
- Molecular Biology 390
- Electronic, Optical and Magnetic Materials 83
- Information Systems and Management 30
Countries citing papers authored by Hideaki Sugawara
This map shows the geographic impact of Hideaki Sugawara'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 Hideaki Sugawara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideaki Sugawara more than expected).
Fields of papers citing papers by Hideaki Sugawara
This network shows the impact of papers produced by Hideaki Sugawara. 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 Hideaki Sugawara. The network helps show where Hideaki Sugawara may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hideaki Sugawara, 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 | 2024 | 4 | |
| 2 | 2024 | 1 | |
| 3 | 2016 | 34 | |
| 4 | 2013 | 34 | |
| 5 | 2012 | 6 | |
| 6 | 2011 | 13 | |
| 7 | 2010 | 10 | |
| 8 | 2009 | 1 | |
| 9 | 2009 | 24 | |
| 10 | ミュー粒子KnightシフトでプローブしたPrOs 4 Sb 12 のスピン3重項超伝導 | 2007 | 18 |
| 11 | A novel bioinformatics tool for phylogenetic classification of genomic sequence fragments derived from mixed genomes of uncultured environmental microbes | 2006 | 13 |
| 12 | 2006 | 18 | |
| 13 | A novel bioinformatics strategy for phylogenetic study of genomic sequence fragments: Self-organizing map (SOM) of oligonucleotide frequencies | 2005 | 2 |
| 14 | 2005 | 87 | |
| 15 | 2003 | 25 | |
| 16 | 2000 | 6 | |
| 17 | 1997 | 1 | |
| 18 | 1997 | 3 | |
| 19 | 1996 | 2 | |
| 20 | 1995 | 4 |
About Hideaki Sugawara
Hideaki Sugawara is a scholar working on Ecology, Molecular Biology and Information Systems and Management, having authored 59 papers that have together received 759 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (21 papers), Microbial Community Ecology and Physiology (9 papers), Surface and Thin Film Phenomena (5 papers), Gene expression and cancer classification (5 papers), Machine Learning in Bioinformatics (4 papers), Environmental DNA in Biodiversity Studies (4 papers), Copper Interconnects and Reliability (4 papers) and Microwave-Assisted Synthesis and Applications (3 papers). The work is most often cited by research in Ceramics and Composites (34 citations), Ecology (146 citations) and Molecular Biology (390 citations). Hideaki Sugawara has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Takashi Abe, Toshimichi Ikemura, Shigehiko Kanaya, Martin Shumway, Guy Cochrane, Akira KINBARA, Makoto Kinouchi, Satoru Miyazaki, Kazuhiro S. Goto and Kazuhiro Nagata. Their work appears in journals such as Nucleic Acids Research, Applied Physics Letters and Bioinformatics.
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.