Kokichi Hinata
- Molecular Biology top 1%
- Plant Science top 0.2%
- Ecology, Evolution, Behavior and Systematics top 0.5%
- Biotechnology top 1%
- Genetics top 10%
- Co-authors
- Kinya ToriyamaMasao WatanabeAkira IsogaiKatsunori HatakeyamaTakeshi NishioGo SuzukiTakeshi TakasakiSeiji Takayama
- Topics
- Plant Reproductive Biology (63 papers)Plant tissue culture and regeneration (29 papers)Plant Molecular Biology Research (29 papers)
In The Last Decade
Kokichi Hinata
120 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 71
- Molecular Biology 4.5k
- Plant Science 4.1k
- Ecology, Evolution, Behavior and Systematics 1.6k
- Biotechnology 508
- Genetics 249
Countries citing papers authored by Kokichi Hinata
This map shows the geographic impact of Kokichi Hinata'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 Kokichi Hinata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kokichi Hinata more than expected).
Fields of papers citing papers by Kokichi Hinata
This network shows the impact of papers produced by Kokichi Hinata. 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 Kokichi Hinata. The network helps show where Kokichi Hinata may publish in the future.
Co-authorship network of co-authors of Kokichi Hinata
This figure shows the co-authorship network connecting the top 25 collaborators of Kokichi Hinata. A scholar is included among the top collaborators of Kokichi Hinata 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 Kokichi Hinata. Kokichi Hinata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 210 | |
| 3 | 48 | |
| 4 | 335 | |
| 5 | 2 | |
| 6 | 34 | |
| 7 | 93 | |
| 8 | 17 | |
| 9 | EXPRESSION OF SLG^9 AND SRK^9 GENOMIC CLONES IN TRANSGENIC TOBACCO | 3 |
| 10 | 14 | |
| 11 | 76 | |
| 12 | 22 | |
| 13 | 61 | |
| 14 | 63 | |
| 15 | Ethnobotany and evolutionary origin of Indian oleiferous Brassicae | 23 |
| 16 | 0 | |
| 17 | Studies on Cytodemes in Subtribe Brassicinae (Cruciferae) | 31 |
| 18 | 1 | |
| 19 | Number of Pollen Grains in Brassica and Allied Genera | 10 |
| 20 | Interspecific Crossability in the Tribe Brassiceae with Special Reference to the Self-incompatibility | 20 |
About Kokichi Hinata
Kokichi Hinata is a scholar working on Plant Science, Biotechnology and Molecular Biology, having authored 121 papers that have together received 4.9k indexed citations. Recurring topics across this work include Plant Reproductive Biology (63 papers), Plant tissue culture and regeneration (29 papers) and Plant Molecular Biology Research (29 papers). The work is most often cited by research in Plant Science (4.1k citations), Ecology, Evolution, Behavior and Systematics (1.6k citations) and Molecular Biology (4.5k citations). Kokichi Hinata has collaborated with scholars based in Japan, Hungary and Pakistan. Frequent co-authors include Kinya Toriyama, Masao Watanabe, Akira Isogai, Katsunori Hatakeyama, Takeshi Nishio, Go Suzuki, Takeshi Takasaki, Seiji Takayama, Toshiaki Kameya and Hiroshi Shiba. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Biotechnology.
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.