Tsutomu Ikeda
- Biotechnology top 5%
- Transgenic Plants and Applications 10
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth 5
- Biomedical Engineering top 10%
- Lignin and Wood Chemistry 18
- Biofuel production and bioconversion 12
- Biomaterials top 10%
- Plant Science top 10%
- Enzyme-mediated dye degradation 6
- Plant Virus Research Studies 5
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- Plant tissue culture and regeneration 14
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- Nonlinear Dynamics and Pattern Formation 5
- Co-authors
- Toshitaka NagaiKengo MagaraHou‐min ChangJohn F. KadlaS. HosoyaKevin M. HoltmanKazunori ShimadaHasan Jameel
- Journals
- Journal of Power Sources (2 papers)Journal of Agricultural and Food Chemistry (1 paper)Chemical Geology (1 paper)
- Partner nations
- JapanUnited StatesMalaysia
In The Last Decade
Tsutomu Ikeda
66 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 96
- Biotechnology 172
- Modeling and Simulation 84
- Biomedical Engineering 474
- Biomaterials 140
- Plant Science 230
Countries citing papers authored by Tsutomu Ikeda
This map shows the geographic impact of Tsutomu Ikeda'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 Tsutomu Ikeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsutomu Ikeda more than expected).
Fields of papers citing papers by Tsutomu Ikeda
This network shows the impact of papers produced by Tsutomu Ikeda. 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 Tsutomu Ikeda. The network helps show where Tsutomu Ikeda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tsutomu Ikeda, 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 | 2018 | 37 | |
| 3 | 2015 | 12 | |
| 4 | 2010 | 3 | |
| 5 | Alkali Pretreatment for Producing Bioethanol Fuel from Lignocellulosics Part 2 : Bioethanol Production from Waste and Recycled Materials | 2009 | 1 |
| 6 | 2009 | 3 | |
| 7 | 2007 | 12 | |
| 8 | 2004 | 34 | |
| 9 | 2002 | 12 | |
| 10 | 2002 | 11 | |
| 11 | 2000 | 6 | |
| 12 | 1997 | 107 | |
| 13 | 1994 | 19 | |
| 14 | 1990 | 64 | |
| 15 | 1985 | 13 | |
| 16 | 1981 | 6 | |
| 17 | 1981 | 4 | |
| 18 | 1980 | 1 | |
| 19 | 1979 | 15 | |
| 20 | 1979 | 12 |
About Tsutomu Ikeda
Tsutomu Ikeda is a scholar working on Biotechnology, Modeling and Simulation and Numerical Analysis, having authored 68 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lignin and Wood Chemistry (18 papers), Plant tissue culture and regeneration (14 papers), Biofuel production and bioconversion (12 papers), Transgenic Plants and Applications (10 papers), Enzyme-mediated dye degradation (6 papers), Plant Virus Research Studies (5 papers), Nonlinear Dynamics and Pattern Formation (5 papers) and Mathematical Biology Tumor Growth (5 papers). The work is most often cited by research in Biotechnology (172 citations), Modeling and Simulation (84 citations) and Biomedical Engineering (474 citations). Tsutomu Ikeda has collaborated with scholars based in Japan, United States and Malaysia. Frequent co-authors include Toshitaka Nagai, Kengo Magara, Hou‐min Chang, John F. Kadla, S. Hosoya, Kevin M. Holtman, Kazunori Shimada, Hasan Jameel, Takashi Matsumoto and Masao Noguchi. Their work appears in journals such as Journal of Power Sources, Journal of Agricultural and Food Chemistry and Chemical Geology.
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.