Hiroaki Kato
- Molecular Biology top 10%
- Plant Science top 10%
- Cell Biology
- Oncology
- Biomedical Engineering
- Co-authors
- Yota MurakamiTakeshi UranoDerek B. GotoRobert A. MartienssenKoichi FurukawaMakoto KawamukaiKatsunori TanakaTsuyoshi Nakagawa
- Topics
- Genomics and Chromatin Dynamics (13 papers)RNA and protein synthesis mechanisms (10 papers)RNA Research and Splicing (10 papers)
- Cited by
- Molecular BiologyCell BiologyAging
- Partner nations
- JapanUnited StatesRussia
In The Last Decade
Hiroaki Kato
43 papers receiving 900 citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 709
- Plant Science 181
- Cell Biology 90
- Oncology 73
- Biomedical Engineering 57
Countries citing papers authored by Hiroaki Kato
This map shows the geographic impact of Hiroaki Kato'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 Hiroaki Kato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroaki Kato more than expected).
Fields of papers citing papers by Hiroaki Kato
This network shows the impact of papers produced by Hiroaki Kato. 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 Hiroaki Kato. The network helps show where Hiroaki Kato may publish in the future.
Co-authorship network of co-authors of Hiroaki Kato
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroaki Kato. A scholar is included among the top collaborators of Hiroaki Kato 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 Hiroaki Kato. Hiroaki Kato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 13 | |
| 3 | 18 | |
| 4 | 20 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 14 | |
| 8 | 10 | |
| 9 | 0 | |
| 10 | 40 | |
| 11 | 16 | |
| 12 | Development of Robot Motion Performance Platform for auto generation of Robot Motion Planning | 4 |
| 13 | 15 | |
| 14 | Simplified Method for Measuring Magnetic Permeability Dispersion of RF Ferrite Cores | 2 |
| 15 | 20 | |
| 16 | 233 | |
| 17 | 7 | |
| 18 | 4 | |
| 19 | 161 | |
| 20 | Control Performance of an Air-Spring Type Vibration Isolated Apparatus Having Pressure Feedback | 4 |
About Hiroaki Kato
Hiroaki Kato is a scholar working on Periodontics, Control and Systems Engineering and Molecular Biology, having authored 45 papers that have together received 910 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (13 papers), RNA and protein synthesis mechanisms (10 papers) and RNA Research and Splicing (10 papers). The work is most often cited by research in Molecular Biology (709 citations), Cell Biology (90 citations) and Aging (9 citations). Hiroaki Kato has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Yota Murakami, Takeshi Urano, Derek B. Goto, Robert A. Martienssen, Koichi Furukawa, Makoto Kawamukai, Katsunori Tanaka, Tsuyoshi Nakagawa, Hideyuki Matsuda and Koei Okazaki. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.