Hidehiko Sunohara
- Plant Science top 2%
- Molecular Biology
- Genetics top 5%
- Agronomy and Crop Science top 10%
- Ecology, Evolution, Behavior and Systematics
- Co-authors
- Hidemi KitanoYasuo NagatoMakoto MatsuokaSuguru TakatsutoKyoko IkedaShigeo YoshidaMiyako Ueguchi‐TanakaShozo Fujioka
- Topics
- Genetic Mapping and Diversity in Plants and Animals (10 papers)Rice Cultivation and Yield Improvement (7 papers)Plant Molecular Biology Research (6 papers)
- Partner nations
- JapanPhilippinesUnited States
In The Last Decade
Hidehiko Sunohara
18 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 47
- Plant Science 1.1k
- Molecular Biology 522
- Genetics 359
- Agronomy and Crop Science 73
- Ecology, Evolution, Behavior and Systematics 34
Countries citing papers authored by Hidehiko Sunohara
This map shows the geographic impact of Hidehiko Sunohara'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 Hidehiko Sunohara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hidehiko Sunohara more than expected).
Fields of papers citing papers by Hidehiko Sunohara
This network shows the impact of papers produced by Hidehiko Sunohara. 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 Hidehiko Sunohara. The network helps show where Hidehiko Sunohara may publish in the future.
Co-authorship network of co-authors of Hidehiko Sunohara
This figure shows the co-authorship network connecting the top 25 collaborators of Hidehiko Sunohara. A scholar is included among the top collaborators of Hidehiko Sunohara based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hidehiko Sunohara. Hidehiko Sunohara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 23 | |
| 4 | 30 | |
| 5 | Improvement of Asian rice cultivars through marker-assisted introgression of yield QTLs Grain number 1a (Gn1a) and Wealthy Farmer's Panicle (WFP) | 4 |
| 6 | 2 | |
| 7 | 30 | |
| 8 | Evaluation of Backcrossed Pyramiding Lines of the Yield-related Gene and the Bacterial Leaf Blight Resistant Genes | 3 |
| 9 | 8 | |
| 10 | 25 | |
| 11 | 53 | |
| 12 | 10 | |
| 13 | 12 | |
| 14 | 179 | |
| 15 | Erect leaves caused by brassinosteroid deficiency increase biomass production and grain yield in ricebreakdown → | 569 |
| 16 | 174 | |
| 17 | 6 | |
| 18 | Interaction of panicle development and internode elongation in rice. | 1 |
| 19 | 5 |
About Hidehiko Sunohara
Hidehiko Sunohara is a scholar working on Horticulture, Plant Science and Genetics, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (10 papers), Rice Cultivation and Yield Improvement (7 papers) and Plant Molecular Biology Research (6 papers). The work is most often cited by research in Plant Science (1.1k citations), Genetics (359 citations) and Molecular Biology (522 citations). Hidehiko Sunohara has collaborated with scholars based in Japan, Philippines and United States. Frequent co-authors include Hidemi Kitano, Yasuo Nagato, Makoto Matsuoka, Suguru Takatsuto, Kyoko Ikeda, Shigeo Yoshida, Miyako Ueguchi‐Tanaka, Shozo Fujioka, Yoichi Morinaka and Masaharu Mizutani. Their work appears in journals such as Nature Biotechnology, Development and PLANT 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.