Takato Koba
- Plant Science top 2%
- Molecular Biology top 10%
- Ecology, Evolution, Behavior and Systematics top 2%
- Genetics top 10%
- Agronomy and Crop Science top 10%
- Co-authors
- Hidenori SassaHisashi HiranoHiroyuki KakuiTakeshi NishioShinji KikuchiKoichiro UshijimaTakehiko ShimadaTakiko Shimada
- Topics
- Plant Reproductive Biology (23 papers)Chromosomal and Genetic Variations (19 papers)Wheat and Barley Genetics and Pathology (18 papers)
In The Last Decade
Takato Koba
64 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 42
- Plant Science 1.0k
- Molecular Biology 767
- Ecology, Evolution, Behavior and Systematics 369
- Genetics 188
- Agronomy and Crop Science 61
Countries citing papers authored by Takato Koba
This map shows the geographic impact of Takato Koba'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 Takato Koba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takato Koba more than expected).
Fields of papers citing papers by Takato Koba
This network shows the impact of papers produced by Takato Koba. 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 Takato Koba. The network helps show where Takato Koba may publish in the future.
Co-authorship network of co-authors of Takato Koba
This figure shows the co-authorship network connecting the top 25 collaborators of Takato Koba. A scholar is included among the top collaborators of Takato Koba 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 Takato Koba. Takato Koba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 3 | |
| 3 | 24 | |
| 4 | 3 | |
| 5 | 12 | |
| 6 | 5 | |
| 7 | 38 | |
| 8 | 32 | |
| 9 | 11 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 4 | |
| 13 | 20 | |
| 14 | 21 | |
| 15 | Karyotype analyses of five wild rose species belonging to septet A by fluorescence in situ hybridization | 11 |
| 16 | 21 | |
| 17 | Localization of rRNA genes in Lilium by fluorescence in situ hybridization and its comparison with silver staining | 2 |
| 18 | Gametoclonal variation in anther culture-derived rice plants. Mutation breeding of new elite lines showing short culm and early heading | 3 |
| 19 | Crossability of common wheat with Aegilops squarrosa | 6 |
| 20 | 31 |
About Takato Koba
Takato Koba is a scholar working on Horticulture, Plant Science and Genetics, having authored 65 papers that have together received 1.1k indexed citations. Recurring topics across this work include Plant Reproductive Biology (23 papers), Chromosomal and Genetic Variations (19 papers) and Wheat and Barley Genetics and Pathology (18 papers). The work is most often cited by research in Horticulture (30 citations), Plant Science (1.0k citations) and Ecology, Evolution, Behavior and Systematics (369 citations). Takato Koba has collaborated with scholars based in Japan, Malaysia and Thailand. Frequent co-authors include Hidenori Sassa, Hisashi Hirano, Hiroyuki Kakui, Takeshi Nishio, Shinji Kikuchi, Koichiro Ushijima, Takehiko Shimada, Takiko Shimada, Shun Sakuma and Takao Komatsuda. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Genetics.
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.