Tomohiro Imura
- Pollution top 0.2%
- Microbial bioremediation and biosurfactants 70
- Molecular Biology top 2%
- Microbial Metabolic Engineering and Bioproduction 49
- Lipid Membrane Structure and Behavior 27
- Glycosylation and Glycoproteins Research 9
- RNA Interference and Gene Delivery 6
- Biomaterials top 2%
- Supramolecular Self-Assembly in Materials 8
- Biotechnology top 1%
- Biomedical Engineering top 2%
- Biofuel production and bioconversion 32
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- Surfactants and Colloidal Systems 20
- Co-authors
- Daï KitamotoTomotake MoritaTokuma FukuokaMasaaki KonishiMasahiko AbeHideki SakaiHiroshi YanagishitaKatsuto Otake
- Journals
- Colloids and Surfaces B Biointerfaces (13 papers)Applied Microbiology and Biotechnology (12 papers)Bioscience Biotechnology and Biochemistry (7 papers)
- Partner nations
- JapanUnited StatesThailand
In The Last Decade
Tomohiro Imura
135 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 122
- Pollution 2.3k
- Molecular Biology 2.9k
- Biomaterials 543
- Biotechnology 331
- Biomedical Engineering 1.5k
Countries citing papers authored by Tomohiro Imura
This map shows the geographic impact of Tomohiro Imura'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 Tomohiro Imura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomohiro Imura more than expected).
Fields of papers citing papers by Tomohiro Imura
This network shows the impact of papers produced by Tomohiro Imura. 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 Tomohiro Imura. The network helps show where Tomohiro Imura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tomohiro Imura, 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 | 1 | |
| 2 | 2014 | 8 | |
| 3 | 2013 | 10 | |
| 4 | 2013 | 23 | |
| 5 | 2012 | 18 | |
| 6 | 2012 | 62 | |
| 7 | 2011 | 37 | |
| 8 | 2010 | 21 | |
| 9 | 2010 | 48 | |
| 10 | 2010 | 23 | |
| 11 | 2009 | 58 | |
| 12 | 2009 | 41 | |
| 13 | 2008 | 20 | |
| 14 | 2008 | 35 | |
| 15 | 2007 | 64 | |
| 16 | 2007 | 85 | |
| 17 | 2007 | 83 | |
| 18 | 2007 | 53 | |
| 19 | 2006 | 66 | |
| 20 | 2004 | 11 |
About Tomohiro Imura
Tomohiro Imura is a scholar working on Pollution, Molecular Biology, Biomaterials, Organic Chemistry and Biomedical Engineering, having authored 136 papers that have together received 4.7k indexed citations. Recurring topics across this work include Microbial bioremediation and biosurfactants (70 papers), Microbial Metabolic Engineering and Bioproduction (49 papers), Biofuel production and bioconversion (32 papers), Lipid Membrane Structure and Behavior (27 papers), Surfactants and Colloidal Systems (20 papers), Glycosylation and Glycoproteins Research (9 papers), Supramolecular Self-Assembly in Materials (8 papers) and RNA Interference and Gene Delivery (6 papers). The work is most often cited by research in Pollution (2.3k citations), Molecular Biology (2.9k citations), Biomaterials (543 citations), Biotechnology (331 citations) and Biomedical Engineering (1.5k citations). Tomohiro Imura has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Daï Kitamoto, Tomotake Morita, Tokuma Fukuoka, Masaaki Konishi, Masahiko Abe, Hideki Sakai, Hiroshi Yanagishita, Katsuto Otake, Hideki Sakai and Toshiaki Taira. Their work appears in journals such as Colloids and Surfaces B Biointerfaces, Applied Microbiology and Biotechnology, Bioscience Biotechnology and Biochemistry, Langmuir and Journal of Oleo Science.
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.