Koji Kakutani
- Plant Science top 2%
- Cell Biology top 5%
- Insect Science top 5%
- Molecular Biology
- Ecology, Evolution, Behavior and Systematics top 10%
- Co-authors
- Yoshinori MatsudaTeruo NonomuraHideyoshi ToyodaShin-ichi KusakariYoshihiro TakikawaKimiye BabaMakio ShibanoMasahide Yasuda
- Topics
- Powdery Mildew Fungal Diseases (40 papers)Plant Pathogens and Fungal Diseases (27 papers)Plant Pathogens and Resistance (22 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEJournal of Applied Physics
- Partner nations
- JapanChinaUnited States
In The Last Decade
Koji Kakutani
83 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 83
- Plant Science 823
- Cell Biology 284
- Insect Science 220
- Molecular Biology 190
- Ecology, Evolution, Behavior and Systematics 136
Countries citing papers authored by Koji Kakutani
This map shows the geographic impact of Koji Kakutani'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 Koji Kakutani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koji Kakutani more than expected).
Fields of papers citing papers by Koji Kakutani
This network shows the impact of papers produced by Koji Kakutani. 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 Koji Kakutani. The network helps show where Koji Kakutani may publish in the future.
Co-authorship network of co-authors of Koji Kakutani
This figure shows the co-authorship network connecting the top 25 collaborators of Koji Kakutani. A scholar is included among the top collaborators of Koji Kakutani 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 Koji Kakutani. Koji Kakutani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 13 | |
| 6 | 1 | |
| 7 | Discrimination of Salacia chinensis Based on the DNA Sequence of the rDNA ITS Region | 1 |
| 8 | 8 | |
| 9 | 3 | |
| 10 | 16 | |
| 11 | 22 | |
| 12 | 17 | |
| 13 | 143 | |
| 14 | 35 | |
| 15 | 26 | |
| 16 | 7 | |
| 17 | 38 | |
| 18 | 3 | |
| 19 | 10 | |
| 20 | Preparation of licorice seedling by node culture, and Glycyrrhizin production by several nutricultures using the seedling | 8 |
About Koji Kakutani
Koji Kakutani is a scholar working on Plant Science, Cell Biology and Insect Science, having authored 85 papers that have together received 1.1k indexed citations. Recurring topics across this work include Powdery Mildew Fungal Diseases (40 papers), Plant Pathogens and Fungal Diseases (27 papers) and Plant Pathogens and Resistance (22 papers). The work is most often cited by research in Plant Science (823 citations), Insect Science (220 citations) and Cell Biology (284 citations). Koji Kakutani has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Yoshinori Matsuda, Teruo Nonomura, Hideyoshi Toyoda, Shin-ichi Kusakari, Yoshihiro Takikawa, Kimiye Baba, Makio Shibano, Masahide Yasuda, Junji Kimbara and Masahiko Taniguchi. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Applied Physics.
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.