Tetsuro Toyoda
- Plant Science top 0.5%
- Plant Molecular Biology Research 19
- Molecular Biology top 1%
- Bioinformatics and Genomic Networks 19
- Genomics and Phylogenetic Studies 15
- Genomics and Chromatin Dynamics 12
- Plant Reproductive Biology 10
- Gene expression and cancer classification 9
- Biomedical Text Mining and Ontologies 9
- Developmental Neuroscience top 2%
- Genetics top 2%
- Genetic Mapping and Diversity in Plants and Animals 9
- Cancer Research top 10%
- Co-authors
- Takaho A. EndoHaruhiko KosekiKazuo ShinozakiMotoaki SekiJun ShingaJafar SharifAkihiro MatsuiMasaki Okano
- Journals
- Bioinformatics (8 papers)Plant and Cell Physiology (8 papers)Proceedings Genome Informatics Workshop/Genome informatics (4 papers)
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Tetsuro Toyoda
74 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Plant Science 2.3k
- Molecular Biology 4.3k
- Developmental Neuroscience 193
- Genetics 763
- Cancer Research 304
Countries citing papers authored by Tetsuro Toyoda
This map shows the geographic impact of Tetsuro Toyoda'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 Tetsuro Toyoda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsuro Toyoda more than expected).
Fields of papers citing papers by Tetsuro Toyoda
This network shows the impact of papers produced by Tetsuro Toyoda. 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 Tetsuro Toyoda. The network helps show where Tetsuro Toyoda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tetsuro Toyoda, 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 | 2016 | 89 | |
| 2 | 2016 | 20 | |
| 3 | 2013 | 101 | |
| 4 | 2013 | 222 | |
| 5 | 2013 | 4 | |
| 6 | 2011 | 233 | |
| 7 | 2011 | 58 | |
| 8 | 2011 | 38 | |
| 9 | 2011 | 14 | |
| 10 | 2010 | 105 | |
| 11 | 2010 | 38 | |
| 12 | 2009 | 154 | |
| 13 | 2009 | 18 | |
| 14 | 2009 | 39 | |
| 15 | 2004 | 17 | |
| 16 | 2004 | 45 | |
| 17 | Omic Space and Totalomics | 2003 | 2 |
| 18 | 2002 | 2 | |
| 19 | 2001 | 13 | |
| 20 | 2000 | 4 |
About Tetsuro Toyoda
Tetsuro Toyoda is a scholar working on Molecular Biology, Plant Science and Genetics, having authored 74 papers that have together received 5.6k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (19 papers), Plant Molecular Biology Research (19 papers), Genomics and Phylogenetic Studies (15 papers), Genomics and Chromatin Dynamics (12 papers), Plant Reproductive Biology (10 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers), Gene expression and cancer classification (9 papers) and Biomedical Text Mining and Ontologies (9 papers). The work is most often cited by research in Plant Science (2.3k citations), Molecular Biology (4.3k citations) and Developmental Neuroscience (193 citations). Tetsuro Toyoda has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Takaho A. Endo, Haruhiko Koseki, Kazuo Shinozaki, Motoaki Seki, Jun Shinga, Jafar Sharif, Akihiro Matsui, Masaki Okano, Eli Kaminuma and Kousuke Hanada. Their work appears in journals such as Bioinformatics, Plant and Cell Physiology, Proceedings Genome Informatics Workshop/Genome informatics, Nucleic Acids Research and The Plant Journal.
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.