Keisuke Tomioka
- Plant Science top 10%
- Cell Biology top 10%
- Endocrinology top 5%
- Molecular Biology
- Ecology, Evolution, Behavior and Systematics
- Co-authors
- Toyozo SatoHideki OsakiAtsuko SasakiTakayuki AokiJouji MoriwakiHiroyuki SekiguchiJun YamamotoH. Koganezawa
- Topics
- Plant Pathogens and Fungal Diseases (39 papers)Plant Disease Resistance and Genetics (18 papers)Yeasts and Rust Fungi Studies (11 papers)
- Partner nations
- JapanUnited StatesEgypt
In The Last Decade
Keisuke Tomioka
46 papers receiving 375 citations
Peers
Comparison fields: 5 of 39
- Plant Science 343
- Cell Biology 187
- Endocrinology 124
- Molecular Biology 112
- Ecology, Evolution, Behavior and Systematics 35
Countries citing papers authored by Keisuke Tomioka
This map shows the geographic impact of Keisuke Tomioka'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 Keisuke Tomioka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keisuke Tomioka more than expected).
Fields of papers citing papers by Keisuke Tomioka
This network shows the impact of papers produced by Keisuke Tomioka. 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 Keisuke Tomioka. The network helps show where Keisuke Tomioka may publish in the future.
Co-authorship network of co-authors of Keisuke Tomioka
This figure shows the co-authorship network connecting the top 25 collaborators of Keisuke Tomioka. A scholar is included among the top collaborators of Keisuke Tomioka 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 Keisuke Tomioka. Keisuke Tomioka 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 | 10 | |
| 3 | 14 | |
| 4 | 6 | |
| 5 | 9 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 19 | |
| 9 | Pathogenicity of the leaf blight pathogen of oregano, Rhizoctonia solani AG-1 IB, to some horticultural plants of the genus Origanum. | 1 |
| 10 | 20 | |
| 11 | 7 | |
| 12 | 3 | |
| 13 | 8 | |
| 14 | 4 | |
| 15 | 17 | |
| 16 | 12 | |
| 17 | (111)Black Band of Jew's Marrow (Corchorus olitorius), Trunk Rot of Satsuma Mandarin (Citrus unshiu) and Screw-pine (Pandanus boninensis) Fruit Rot Caused by Lasiodiplodia theobromae | 1 |
| 18 | 5 | |
| 19 | 2 | |
| 20 | 6 |
About Keisuke Tomioka
Keisuke Tomioka is a scholar working on Cell Biology, Plant Science and Endocrinology, having authored 47 papers that have together received 387 indexed citations. Recurring topics across this work include Plant Pathogens and Fungal Diseases (39 papers), Plant Disease Resistance and Genetics (18 papers) and Yeasts and Rust Fungi Studies (11 papers). The work is most often cited by research in Endocrinology (124 citations), Cell Biology (187 citations) and Plant Science (343 citations). Keisuke Tomioka has collaborated with scholars based in Japan, United States and Egypt. Frequent co-authors include Toyozo Sato, Hideki Osaki, Atsuko Sasaki, Takayuki Aoki, Jouji Moriwaki, Hiroyuki Sekiguchi, Jun Yamamoto, H. Koganezawa, Shihomi Uzuhashi and Toshiaki Takehara. Their work appears in journals such as Nucleic Acids Research, Electrophoresis and Virus Genes.
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.