Masao Yokoo
- Plant Science top 5%
- Genetics top 10%
- Molecular Biology
- Cell Biology
- Ecology, Evolution, Behavior and Systematics
- Co-authors
- Fumio KikuchiHiroshi FujimakiKazutoshi OkunoShigehisa KIYOSAWAAkihiro NakaneKeiko KobayashiEri Ogiso‐TanakaTokio Imbe
- Topics
- Rice Cultivation and Yield Improvement (23 papers)Genetic Mapping and Diversity in Plants and Animals (20 papers)GABA and Rice Research (17 papers)
- Cited by
- Plant ScienceGeneticsHorticulture
- Partner nations
- JapanPhilippinesNepal
In The Last Decade
Masao Yokoo
39 papers receiving 350 citations
Peers
Comparison fields: 5 of 25
- Plant Science 421
- Genetics 260
- Molecular Biology 97
- Cell Biology 28
- Ecology, Evolution, Behavior and Systematics 24
Countries citing papers authored by Masao Yokoo
This map shows the geographic impact of Masao Yokoo'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 Masao Yokoo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masao Yokoo more than expected).
Fields of papers citing papers by Masao Yokoo
This network shows the impact of papers produced by Masao Yokoo. 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 Masao Yokoo. The network helps show where Masao Yokoo may publish in the future.
Co-authorship network of co-authors of Masao Yokoo
This figure shows the co-authorship network connecting the top 25 collaborators of Masao Yokoo. A scholar is included among the top collaborators of Masao Yokoo 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 Masao Yokoo. Masao Yokoo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | Identification of blast resistance genes in elite Indica-type varieties of rice (Oryza sativa L.). | 4 |
| 3 | 4 | |
| 4 | "Milky Queen, a new high-quality rice cultivar with low amylose content in endosperm." | 13 |
| 5 | 9 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | 35 | |
| 9 | 3 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 28 | |
| 13 | Genetical analysis of heading date by means of close linkage with blast resistance in rice. | 13 |
| 14 | Genic Analysis of Heading Time by Aid of Close Linkage with Blast Resistance in Rice | 2 |
| 15 | 11 | |
| 16 | 7 | |
| 17 | 2 | |
| 18 | Breeding and Some Genetical Findings for Multiracial Resistance to Blast by Using Japonica×Indica Hybrids of Rice | 1 |
| 19 | 4 | |
| 20 | 10 |
About Masao Yokoo
Masao Yokoo is a scholar working on Plant Science, Genetics and Cell Biology, having authored 39 papers that have together received 442 indexed citations. Recurring topics across this work include Rice Cultivation and Yield Improvement (23 papers), Genetic Mapping and Diversity in Plants and Animals (20 papers) and GABA and Rice Research (17 papers). The work is most often cited by research in Plant Science (421 citations), Genetics (260 citations) and Horticulture (2 citations). Masao Yokoo has collaborated with scholars based in Japan, Philippines and Nepal. Frequent co-authors include Fumio Kikuchi, Hiroshi Fujimaki, Kazutoshi Okuno, Shigehisa KIYOSAWA, Akihiro Nakane, Keiko Kobayashi, Eri Ogiso‐Tanaka, Tokio Imbe, H. Ikehashi and K. Maruyama. Their work appears in journals such as Field Crops Research, Journal of Plant Research and Breeding 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.