Takashige Ishii
- Plant Science top 0.5%
- Genetics top 0.5%
- Molecular Biology top 10%
- Ecology, Evolution, Behavior and Systematics top 5%
- Food Science top 5%
- Co-authors
- Susan R. McCouchSvetlana V. TemnykhLeonard LipovichOlivier PanaudYunbi XuD. S. BrarWilliam D. ParkSam Cartinhour
- Topics
- Genetic Mapping and Diversity in Plants and Animals (48 papers)Rice Cultivation and Yield Improvement (32 papers)GABA and Rice Research (31 papers)
- Cited by
- Plant ScienceGeneticsHorticulture
- Partner nations
- JapanUnited StatesPhilippines
In The Last Decade
Takashige Ishii
80 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Plant Science 3.6k
- Genetics 2.3k
- Molecular Biology 879
- Ecology, Evolution, Behavior and Systematics 234
- Food Science 149
Countries citing papers authored by Takashige Ishii
This map shows the geographic impact of Takashige Ishii'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 Takashige Ishii with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takashige Ishii more than expected).
Fields of papers citing papers by Takashige Ishii
This network shows the impact of papers produced by Takashige Ishii. 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 Takashige Ishii. The network helps show where Takashige Ishii may publish in the future.
Co-authorship network of co-authors of Takashige Ishii
This figure shows the co-authorship network connecting the top 25 collaborators of Takashige Ishii. A scholar is included among the top collaborators of Takashige Ishii 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 Takashige Ishii. Takashige Ishii is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 29 | |
| 4 | 5 | |
| 5 | 17 | |
| 6 | 14 | |
| 7 | 9 | |
| 8 | 24 | |
| 9 | 13 | |
| 10 | CONSTRUCTION OF MICROSATELLITE LINKAGE MAP AND DETECTION OF SEGREGATION DISTORTION IN INDICA RICE (ORYZA SATIVA L.) | 3 |
| 11 | 24 | |
| 12 | 9 | |
| 13 | 154 | |
| 14 | Response of NERICA rice to Striga hermonthica infections in western Kenya. | 14 |
| 15 | 20 | |
| 16 | 46 | |
| 17 | 8 | |
| 18 | Rice wild QTL analysis. 4. QTL analysis. for several agronomic characters using BC2 population between Oryza rufipogon and O. sativa IR36. | 1 |
| 19 | 27 | |
| 20 | 21 |
About Takashige Ishii
Takashige Ishii is a scholar working on Plant Science, Genetics and Tourism, Leisure and Hospitality Management, having authored 81 papers that have together received 4.0k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (48 papers), Rice Cultivation and Yield Improvement (32 papers) and GABA and Rice Research (31 papers). The work is most often cited by research in Plant Science (3.6k citations), Genetics (2.3k citations) and Horticulture (24 citations). Takashige Ishii has collaborated with scholars based in Japan, United States and Philippines. Frequent co-authors include Susan R. McCouch, Svetlana V. Temnykh, Leonard Lipovich, Olivier Panaud, Yunbi Xu, D. S. Brar, William D. Park, Sam Cartinhour, Nathanael R. Hauck and Matthew W. Blair. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Genetics and PLoS ONE.
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.