Mayuko Ikeda
Impact in
- Plant Science top 2%
- Plant Molecular Biology Research
- Rice Cultivation and Yield Improvement
- GABA and Rice Research
- Plant nutrient uptake and metabolism
- Genetics and Plant Breeding
- Plant Stress Responses and Tolerance
- Genetics top 5%
- Genetic Mapping and Diversity in Plants and Animals
Papers in
-
- Rice Cultivation and Yield Improvement 3
- Plant Molecular Biology Research 2
- Plant responses to water stress 2
- Genetics and Plant Breeding 2
- GABA and Rice Research 1
- Genetics 5
- Genetic Mapping and Diversity in Plants and Animals 5
- Co-authors
- Makoto Matsuoka (5 shared papers)Hidemi Kitano (5 shared papers)Kotaro Miura (3 shared papers)Kenji Asano (3 shared papers)Motoyuki Ashikari (3 shared papers)Atsushi Matsubara (2 shared papers)Xian‐Jun Song (1 shared paper)Tokunori Hobo (2 shared papers)
- Journals
- Scientific Reports (1 paper)Biochimica et Biophysica Acta (BBA) - General Subjects (1 paper)Nature Communications (1 paper)Ikushugaku zasshi (1 paper)Current Opinion in Plant Biology (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Mayuko Ikeda
8 papers receiving 1.4k citations
Mayuko Ikeda's Hit Papers
Peers
Comparison fields: 5 of 60
- Plant Science 1.3k
- Genetics 637
- Agronomy and Crop Science 142
- Molecular Biology 408
- Ecology, Evolution, Behavior and Systematics 44
Countries citing papers authored by Mayuko Ikeda
This map shows the geographic impact of Mayuko 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 Mayuko Ikeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayuko Ikeda more than expected).
Fields of papers citing papers by Mayuko Ikeda
This network shows the impact of papers produced by Mayuko 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 Mayuko Ikeda. The network helps show where Mayuko Ikeda may publish in the future.
Co-authors
The 25 scholars most cited alongside Mayuko 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 | OsSPL14 promotes panicle branching and higher grain productivity in rice Hit paper breakdown → | 2010 | 927 |
| 2 | 2010 | 285 | |
| 3 | 2013 | 104 | |
| 4 | 2010 | 59 | |
| 5 | 2018 | 28 | |
| 6 | OsSPL14 promotes panicle branching and higher grain productivity in rice. Nat Genet | 2010 | 24 |
| 7 | 2020 | 12 | |
| 8 | 2008 | 10 |
About Mayuko Ikeda
Mayuko Ikeda is a scholar working on Plant Science, Genetics, Agronomy and Crop Science, Hematology and Cell Biology, having authored 8 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (5 papers), Rice Cultivation and Yield Improvement (3 papers), Crop Yield and Soil Fertility (2 papers), Plant Molecular Biology Research (2 papers), Plant responses to water stress (2 papers), Genetics and Plant Breeding (2 papers), GABA and Rice Research (1 paper) and Iron Metabolism and Disorders (1 paper). The work is most often cited by research in Plant Science (1.3k citations), Genetics (637 citations), Agronomy and Crop Science (142 citations), Molecular Biology (408 citations) and Ecology, Evolution, Behavior and Systematics (44 citations). Mayuko Ikeda has collaborated with scholars based in Japan and United States. Frequent co-authors include Makoto Matsuoka, Hidemi Kitano, Kotaro Miura, Kenji Asano, Motoyuki Ashikari, Atsushi Matsubara, Xian‐Jun Song, Tokunori Hobo, Koichiro Aya and Masahiro Yano. Their work appears in journals such as Scientific Reports, Biochimica et Biophysica Acta (BBA) - General Subjects, Nature Communications, Ikushugaku zasshi and Current Opinion in Plant Biology.
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.