R. Honkura
- Plant Science top 5%
- Molecular Biology
- Biotechnology top 5%
- Endocrinology top 10%
- Microbiology
- Co-authors
- Shigeo NakamuraYuko OhashiMasashi UgakiIchiro MitsuharaKeiichiro UenoYoshiaki OtsukiYūichi KatayoseYoko Gotoh
- Topics
- Plant Virus Research Studies (9 papers)Plant tissue culture and regeneration (5 papers)Transgenic Plants and Applications (4 papers)
- Partner nations
- JapanEgyptUnited States
In The Last Decade
R. Honkura
16 papers receiving 683 citations
Hit Papers
Peers
Comparison fields: 5 of 44
- Plant Science 549
- Molecular Biology 475
- Biotechnology 178
- Endocrinology 43
- Microbiology 29
Countries citing papers authored by R. Honkura
This map shows the geographic impact of R. Honkura'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 R. Honkura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Honkura more than expected).
Fields of papers citing papers by R. Honkura
This network shows the impact of papers produced by R. Honkura. 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 R. Honkura. The network helps show where R. Honkura may publish in the future.
Co-authorship network of co-authors of R. Honkura
This figure shows the co-authorship network connecting the top 25 collaborators of R. Honkura. A scholar is included among the top collaborators of R. Honkura 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 R. Honkura. R. Honkura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 81 | |
| 2 | 7 | |
| 3 | 35 | |
| 4 | Nectria blight, a new disease of gerbera (Gerbera spp.) caused by Nectria haematococca complex in Japan | 1 |
| 5 | Grey mould of Malabar nightshade (Basella rubra L.), parsley (Petroselinum crispum Nym.), bishop's weed (Ammi majus L.) and blue lace flower (Didiscus caeruleus DC.) caused by Botrytis cinerea. | 1 |
| 6 | 23 | |
| 7 | 2 | |
| 8 | 11 | |
| 9 | Efficient Promoter Cassettes for Enhanced Expression of Foreign Genes in Dicotyledonous and Monocotyledonous Plantsbreakdown → | 516 |
| 10 | 4 | |
| 11 | 12 | |
| 12 | 2 | |
| 13 | Occurrence of white false smut of rice [Oryza sativa] plant that shows the infection route in hill | 1 |
| 14 | 12 | |
| 15 | Studies on Diseases of Job's Tears:II. Infection Source of Leaf Blight | 2 |
| 16 | 3 |
About R. Honkura
R. Honkura is a scholar working on Biotechnology, Plant Science and Endocrinology, having authored 16 papers that have together received 713 indexed citations. Recurring topics across this work include Plant Virus Research Studies (9 papers), Plant tissue culture and regeneration (5 papers) and Transgenic Plants and Applications (4 papers). The work is most often cited by research in Biotechnology (178 citations), Horticulture (16 citations) and Plant Science (549 citations). R. Honkura has collaborated with scholars based in Japan, Egypt and United States. Frequent co-authors include Shigeo Nakamura, Yuko Ohashi, Masashi Ugaki, Ichiro Mitsuhara, Keiichiro Ueno, Yoshiaki Otsuki, Yūichi Katayose, Yoko Gotoh, Hirohiko Hirochika and Taka Murakami. Their work appears in journals such as Genetics, Plant and Cell Physiology and Molecular Plant-Microbe Interactions.
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.