Masao Hamada
Impact in
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- Chromosomal and Genetic Variations
- Rice Cultivation and Yield Improvement
- GABA and Rice Research
- Plant Virus Research Studies
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- Genetic Mapping and Diversity in Plants and Animals
Papers in
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- Chromosomal and Genetic Variations 3
- GABA and Rice Research 3
- Plant Disease Resistance and Genetics 2
- Rice Cultivation and Yield Improvement 2
- Genetics 4
- Genetic Mapping and Diversity in Plants and Animals 4
- Co-authors
- Yūichi Katayose (6 shared papers)Takeshi Itoh (4 shared papers)Richard H. Cox (1 shared paper)Kanako Kurita (4 shared papers)Hiroyuki Kanamori (5 shared papers)Seiichi Toki (2 shared papers)Hiroaki Sakai (2 shared papers)Keishi Osakabe (1 shared paper)
- Journals
- The Plant Journal (2 papers)DNA Research (1 paper)PLANT PHYSIOLOGY (1 paper)Molecular Breeding (1 paper)Plant and Cell Physiology (1 paper)
- Partner nations
- JapanUnited StatesNew Zealand
In The Last Decade
Masao Hamada
9 papers receiving 194 citations
Peers
Comparison fields: 5 of 37
- Plant Science 141
- Genetics 65
- Molecular Biology 103
- Aging 2
- Horticulture 1
Countries citing papers authored by Masao Hamada
This map shows the geographic impact of Masao Hamada'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 Masao Hamada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masao Hamada more than expected).
Fields of papers citing papers by Masao Hamada
This network shows the impact of papers produced by Masao Hamada. 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 Masao Hamada. The network helps show where Masao Hamada may publish in the future.
Co-authors
The 25 scholars most cited alongside Masao Hamada, 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 | 2014 | 46 | |
| 2 | 2015 | 42 | |
| 3 | 2015 | 30 | |
| 4 | 2011 | 22 | |
| 5 | 2014 | 18 | |
| 6 | 1979 | 14 | |
| 7 | 2008 | 12 | |
| 8 | 2013 | 11 | |
| 9 | 2019 | 1 |
About Masao Hamada
Masao Hamada is a scholar working on Plant Science, Genetics, Molecular Biology, Organic Chemistry and Computer Vision and Pattern Recognition, having authored 9 papers that have together received 196 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (4 papers), Chromosomal and Genetic Variations (3 papers), GABA and Rice Research (3 papers), Plant Disease Resistance and Genetics (2 papers), Rice Cultivation and Yield Improvement (2 papers), CRISPR and Genetic Engineering (2 papers), Plant tissue culture and regeneration (2 papers) and Molecular spectroscopy and chirality (1 paper). The work is most often cited by research in Plant Science (141 citations), Genetics (65 citations), Molecular Biology (103 citations), Aging (2 citations) and Horticulture (1 citation). Masao Hamada has collaborated with scholars based in Japan, United States and New Zealand. Frequent co-authors include Yūichi Katayose, Takeshi Itoh, Richard H. Cox, Kanako Kurita, Hiroyuki Kanamori, Seiichi Toki, Hiroaki Sakai, Keishi Osakabe, Akiko Mori and Hiroaki Saika. Their work appears in journals such as The Plant Journal, DNA Research, PLANT PHYSIOLOGY, Molecular Breeding and Plant and Cell Physiology.
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.