Shinya Yoshida
- Plant Science top 2%
- Genetics top 5%
- Molecular Biology
- Nutrition and Dietetics
- Agronomy and Crop Science
- Co-authors
- Makoto MatsuokaKenji YanoHidemi KitanoKo HiranoMasanori YamasakiKoichiro AyaHideyuki TakeuchiEiji Yamamoto
- Topics
- Genetic Mapping and Diversity in Plants and Animals (7 papers)Rice Cultivation and Yield Improvement (7 papers)Plant Disease Resistance and Genetics (6 papers)
- Cited by
- Plant ScienceGeneticsHorticulture
- Partner nations
- JapanHungaryUnited States
In The Last Decade
Shinya Yoshida
22 papers receiving 936 citations
Hit Papers
Peers
Comparison fields: 5 of 64
- Plant Science 822
- Genetics 481
- Molecular Biology 166
- Nutrition and Dietetics 48
- Agronomy and Crop Science 36
Countries citing papers authored by Shinya Yoshida
This map shows the geographic impact of Shinya Yoshida'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 Shinya Yoshida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shinya Yoshida more than expected).
Fields of papers citing papers by Shinya Yoshida
This network shows the impact of papers produced by Shinya Yoshida. 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 Shinya Yoshida. The network helps show where Shinya Yoshida may publish in the future.
Co-authorship network of co-authors of Shinya Yoshida
This figure shows the co-authorship network connecting the top 25 collaborators of Shinya Yoshida. A scholar is included among the top collaborators of Shinya Yoshida 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 Shinya Yoshida. Shinya Yoshida is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 17 | |
| 3 | 145 | |
| 4 | 1 | |
| 5 | Genome-wide association study using whole-genome sequencing rapidly identifies new genes influencing agronomic traits in ricebreakdown → | 461 |
| 6 | 34 | |
| 7 | 88 | |
| 8 | 13 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 13 | |
| 12 | 1 | |
| 13 | 19 | |
| 14 | 18 | |
| 15 | 25 | |
| 16 | 6 | |
| 17 | 4 | |
| 18 | 76 | |
| 19 | 4 | |
| 20 | Application of anther culture to rice breeding. II. Varietal difference in regeneration ability and effect of BA in callus formation medium. | 2 |
About Shinya Yoshida
Shinya Yoshida is a scholar working on Plant Science, Genetics and Gastroenterology, having authored 23 papers that have together received 962 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (7 papers), Rice Cultivation and Yield Improvement (7 papers) and Plant Disease Resistance and Genetics (6 papers). The work is most often cited by research in Plant Science (822 citations), Genetics (481 citations) and Horticulture (9 citations). Shinya Yoshida has collaborated with scholars based in Japan, Hungary and United States. Frequent co-authors include Makoto Matsuoka, Kenji Yano, Hidemi Kitano, Ko Hirano, Masanori Yamasaki, Koichiro Aya, Hideyuki Takeuchi, Eiji Yamamoto, Li Hu and Chiharu Nakamura. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Frontiers in Plant Science.
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.