Chikatoshi Kai
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 5%
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
- Genomics and Phylogenetic Studies
Papers in
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- RNA and protein synthesis mechanisms 9
- Machine Learning in Bioinformatics 5
- Genomics and Chromatin Dynamics 5
- RNA Research and Splicing 5
- Genomics and Phylogenetic Studies 4
- RNA modifications and cancer 4
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- Cancer-related molecular mechanisms research 5
- Co-authors
- Piero Carninci (22 shared papers)Jun Kawai (22 shared papers)Yoshihide Hayashizaki (20 shared papers)Martin C. Frith (7 shared papers)Shiro Fukuda (3 shared papers)Yoshihide Hayashizaki (7 shared papers)Albin Sandelin (4 shared papers)Harukazu Suzuki (9 shared papers)
In The Last Decade
Chikatoshi Kai
30 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 93
- Cancer Research 497
- Molecular Biology 1.6k
- Genetics 172
- Immunology 116
- Genetics 51
Countries citing papers authored by Chikatoshi Kai
This map shows the geographic impact of Chikatoshi Kai'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 Chikatoshi Kai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chikatoshi Kai more than expected).
Fields of papers citing papers by Chikatoshi Kai
This network shows the impact of papers produced by Chikatoshi Kai. 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 Chikatoshi Kai. The network helps show where Chikatoshi Kai may publish in the future.
Co-authors
The 25 scholars most cited alongside Chikatoshi Kai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 289 | |
| 2 | 2008 | 238 | |
| 3 | 2006 | 184 | |
| 4 | 2006 | 137 | |
| 5 | 2006 | 96 | |
| 6 | 2006 | 89 | |
| 7 | 2006 | 89 | |
| 8 | 2006 | 82 | |
| 9 | 2003 | 72 | |
| 10 | 2006 | 68 | |
| 11 | 2006 | 65 | |
| 12 | 2006 | 63 | |
| 13 | 2006 | 62 | |
| 14 | 2006 | 51 | |
| 15 | 2007 | 47 | |
| 16 | 2000 | 41 | |
| 17 | 2002 | 37 | |
| 18 | 2009 | 34 | |
| 19 | 2006 | 33 | |
| 20 | 2006 | 32 |
About Chikatoshi Kai
Chikatoshi Kai is a scholar working on Molecular Biology, Cancer Research, Cell Biology, Genetics and Genetics, having authored 30 papers that have together received 2.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (9 papers), Machine Learning in Bioinformatics (5 papers), Genomics and Chromatin Dynamics (5 papers), Cancer-related molecular mechanisms research (5 papers), RNA Research and Splicing (5 papers), Genomics and Phylogenetic Studies (4 papers), RNA modifications and cancer (4 papers) and Genetic Syndromes and Imprinting (2 papers). The work is most often cited by research in Cancer Research (497 citations), Molecular Biology (1.6k citations), Genetics (172 citations), Immunology (116 citations) and Genetics (51 citations). Chikatoshi Kai has collaborated with scholars based in Japan, Australia and Italy. Frequent co-authors include Piero Carninci, Jun Kawai, Yoshihide Hayashizaki, Martin C. Frith, Shiro Fukuda, Yoshihide Hayashizaki, Albin Sandelin, Harukazu Suzuki, Mari Nakamura and Hideya Kawaji. Their work appears in journals such as PLoS Genetics, Genome biology, Gene, BMC Genomics and Journal of Biological Chemistry.
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.