Tadashi Yagi
- Plant Science top 10%
- Genetics
- Molecular Biology
- Biomaterials top 10%
- Pollution top 10%
- Co-authors
- Yoshimichi FukutaKenji NagataTomio TeraoKatsunori TamuraHiroyuki ShimizuIkuo AshikawaAkira HakubaKenji Ohata
- Topics
- GABA and Rice Research (7 papers)Fungal and yeast genetics research (7 papers)Rice Cultivation and Yield Improvement (6 papers)
- Partner nations
- JapanPhilippinesNetherlands
In The Last Decade
Tadashi Yagi
30 papers receiving 499 citations
Peers
Comparison fields: 5 of 74
- Plant Science 269
- Genetics 145
- Molecular Biology 112
- Biomaterials 103
- Pollution 81
Countries citing papers authored by Tadashi Yagi
This map shows the geographic impact of Tadashi Yagi'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 Tadashi Yagi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tadashi Yagi more than expected).
Fields of papers citing papers by Tadashi Yagi
This network shows the impact of papers produced by Tadashi Yagi. 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 Tadashi Yagi. The network helps show where Tadashi Yagi may publish in the future.
Co-authorship network of co-authors of Tadashi Yagi
This figure shows the co-authorship network connecting the top 25 collaborators of Tadashi Yagi. A scholar is included among the top collaborators of Tadashi Yagi 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 Tadashi Yagi. Tadashi Yagi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 19 | |
| 3 | 71 | |
| 4 | "Nikomaru", a high-yielding rice variety with superior eating quality and grain appearance under high temperatures during ripening. | 4 |
| 5 | 2 | |
| 6 | 14 | |
| 7 | 20 | |
| 8 | 13 | |
| 9 | 25 | |
| 10 | 23 | |
| 11 | 12 | |
| 12 | Amylogram characteristics between Indica and Japonica glutinous rice | 1 |
| 13 | 7 | |
| 14 | 4 | |
| 15 | 12 | |
| 16 | Effects of increases and decreases in the external salinity on the intracellular glycerol and inorganic ion content in the salt-tolerant yeast Zygosaccharomyces rouxii | 8 |
| 17 | Molecular cloning and characterization of the fusaric acid-resistance gene from Pseudomonas cepacia. | 26 |
| 18 | 17 | |
| 19 | 6 | |
| 20 | 11 |
About Tadashi Yagi
Tadashi Yagi is a scholar working on Process Chemistry and Technology, Animal Science and Zoology and Biomaterials, having authored 30 papers that have together received 530 indexed citations. Recurring topics across this work include GABA and Rice Research (7 papers), Fungal and yeast genetics research (7 papers) and Rice Cultivation and Yield Improvement (6 papers). The work is most often cited by research in Biomaterials (103 citations), Process Chemistry and Technology (21 citations) and Plant Science (269 citations). Tadashi Yagi has collaborated with scholars based in Japan, Philippines and Netherlands. Frequent co-authors include Yoshimichi Fukuta, Kenji Nagata, Tomio Terao, Katsunori Tamura, Hiroyuki Shimizu, Ikuo Ashikawa, Akira Hakuba, Kenji Ohata, Seiji OUCHI and Satoshi Katayama. Their work appears in journals such as Sustainability, Polymer Degradation and Stability and Archives of Microbiology.
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.