Yukio Kaneko
- Biomedical Engineering top 10%
- Plant Science top 5%
- Molecular Biology
- Materials Chemistry
- Electrical and Electronic Engineering
- Co-authors
- Yoichiro MatsumotoYasuo MatsuzawaToshiyuki MaruyamaToshiaki WatanabeKenji TakegamiHirokazu NagawaN. AraiK. Yoshikawa
- Topics
- Chromosomal and Genetic Variations (23 papers)Semiconductor materials and devices (19 papers)Plant tissue culture and regeneration (16 papers)
- Partner nations
- JapanTaiwanUnited States
In The Last Decade
Yukio Kaneko
102 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 133
- Biomedical Engineering 414
- Plant Science 397
- Molecular Biology 354
- Materials Chemistry 213
- Electrical and Electronic Engineering 190
Countries citing papers authored by Yukio Kaneko
This map shows the geographic impact of Yukio Kaneko'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 Yukio Kaneko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yukio Kaneko more than expected).
Fields of papers citing papers by Yukio Kaneko
This network shows the impact of papers produced by Yukio Kaneko. 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 Yukio Kaneko. The network helps show where Yukio Kaneko may publish in the future.
Co-authorship network of co-authors of Yukio Kaneko
This figure shows the co-authorship network connecting the top 25 collaborators of Yukio Kaneko. A scholar is included among the top collaborators of Yukio Kaneko 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 Yukio Kaneko. Yukio Kaneko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 16 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 8 | |
| 10 | 28 | |
| 11 | 147 | |
| 12 | 124 | |
| 13 | 1 | |
| 14 | 4 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | Progenies of intergeneric hybrid between Diplotaxis tenuifolia(C_2-C_4 plant) and Radish (C_3 plant) | 1 |
| 18 | Synthetic Brassica rapa-Raphanus sativus amphidiploid lines developed by reciprocal hybridization | 10 |
| 19 | A flash EEPROM cell scaling including tunnel oxide limitations | 5 |
| 20 | Eruption of permanent teeth of handicapped children. | 0 |
About Yukio Kaneko
Yukio Kaneko is a scholar working on Plant Science, Complementary and Manual Therapy and Anatomy, having authored 114 papers that have together received 1.2k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (23 papers), Semiconductor materials and devices (19 papers) and Plant tissue culture and regeneration (16 papers). The work is most often cited by research in Plant Science (397 citations), Biomedical Engineering (414 citations) and Radiology, Nuclear Medicine and Imaging (164 citations). Yukio Kaneko has collaborated with scholars based in Japan, Taiwan and United States. Frequent co-authors include Yoichiro Matsumoto, Yasuo Matsuzawa, Toshiyuki Maruyama, Toshiaki Watanabe, Kenji Takegami, Hirokazu Nagawa, N. Arai, K. Yoshikawa, S. Mori and Hiroshi Mitsui. Their work appears in journals such as The Journal of Immunology, Journal of Applied Physics and PLANT PHYSIOLOGY.
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.