Toshihiro Kumamaru
- Plant Science top 1%
- Phytase and its Applications 12
- GABA and Rice Research 12
- Rice Cultivation and Yield Improvement 9
- Biotechnology top 1%
- Nutrition and Dietetics top 2%
- Food composition and properties 18
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease 10
- Molecular Biology top 10%
- Plant Reproductive Biology 15
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- Proteins in Food Systems 11
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- Biofuel production and bioconversion 10
Toshihiro Kumamaru
82 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 77
- Plant Science 1.9k
- Biotechnology 336
- Nutrition and Dietetics 504
- Cell Biology 317
- Molecular Biology 1.1k
Countries citing papers authored by Toshihiro Kumamaru
This map shows the geographic impact of Toshihiro Kumamaru'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 Toshihiro Kumamaru with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshihiro Kumamaru more than expected).
Fields of papers citing papers by Toshihiro Kumamaru
This network shows the impact of papers produced by Toshihiro Kumamaru. 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 Toshihiro Kumamaru. The network helps show where Toshihiro Kumamaru may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Toshihiro Kumamaru, 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 | 2022 | 8 | |
| 2 | 2022 | 5 | |
| 3 | 2019 | 7 | |
| 4 | 2018 | 25 | |
| 5 | 2018 | 56 | |
| 6 | 2017 | 26 | |
| 7 | 2016 | 12 | |
| 8 | 2015 | 148 | |
| 9 | 2014 | 19 | |
| 10 | PAKISTAN RICE GENETIC RESOURCES-III: SDS-PAGE DIVERSITY PROFILE OF GLUTELINS (SEED STORAGE PROTEIN) | 2010 | 6 |
| 11 | PAKISTAN RICE GENETIC RESOURCES-II: DISTRIBUTION PATTERN OF GRAIN MORPHOLOGICAL DIVERSITY | 2007 | 6 |
| 12 | Pakistan rice genetic resources-I: Grain morphological diversity and its distribution | 2007 | 27 |
| 13 | 2007 | 145 | |
| 14 | 2006 | 14 | |
| 15 | 2005 | 42 | |
| 16 | 2004 | 6 | |
| 17 | 2004 | 8 | |
| 18 | 2003 | 9 | |
| 19 | Genetic variation of Granule Bound Starch Synthase (GBSS) level in Myanmar local rice cultivars | 2002 | 4 |
| 20 | Mutants for rice storage proteins. III. Genetic analysis of mutants for storage proteins of protein bodies in the starchy endosperm.:III. Genetic analysis of mutants for storage proteins of protein bodies in the starchy endosperm | 1987 | 9 |
About Toshihiro Kumamaru
Toshihiro Kumamaru is a scholar working on Plant Science, Nutrition and Dietetics and Biotechnology, having authored 86 papers that have together received 2.7k indexed citations. Recurring topics across this work include Food composition and properties (18 papers), Plant Reproductive Biology (15 papers), Phytase and its Applications (12 papers), GABA and Rice Research (12 papers), Proteins in Food Systems (11 papers), Endoplasmic Reticulum Stress and Disease (10 papers), Biofuel production and bioconversion (10 papers) and Rice Cultivation and Yield Improvement (9 papers). The work is most often cited by research in Plant Science (1.9k citations), Biotechnology (336 citations) and Nutrition and Dietetics (504 citations). Toshihiro Kumamaru has collaborated with scholars based in Japan, United States and Egypt. Frequent co-authors include Masahiro Ogawa, Hikaru Satoh, Thomas W. Okita, Yasushi Kawagoe, Hiroaki Matsusaka, M Fukuda, Yayoi Onda, Tomokazu Ushijima, Haruhiko Washida and Kensuke Kusumi. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Plant Cell.
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.