Ken’ichiro Hayashi
- Molecular Biology top 5%
- Cell Biology top 5%
- Cancer Research top 10%
- Biomedical Engineering
- Oncology top 10%
- Co-authors
- Kenji SobueWataru NishidaTsuyoshi MoritaKazuhiro KimuraMasanori TakahashiYasuyuki OhkawaKiyoshi MatsuyamaKenji Mishima
- Topics
- Fuzzy Logic and Control Systems (12 papers)RNA Research and Splicing (12 papers)Cellular Mechanics and Interactions (10 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Ken’ichiro Hayashi
93 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 147
- Molecular Biology 1.5k
- Cell Biology 448
- Cancer Research 287
- Biomedical Engineering 250
- Oncology 246
Countries citing papers authored by Ken’ichiro Hayashi
This map shows the geographic impact of Ken’ichiro Hayashi'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 Ken’ichiro Hayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken’ichiro Hayashi more than expected).
Fields of papers citing papers by Ken’ichiro Hayashi
This network shows the impact of papers produced by Ken’ichiro Hayashi. 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 Ken’ichiro Hayashi. The network helps show where Ken’ichiro Hayashi may publish in the future.
Co-authorship network of co-authors of Ken’ichiro Hayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Ken’ichiro Hayashi. A scholar is included among the top collaborators of Ken’ichiro Hayashi 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 Ken’ichiro Hayashi. Ken’ichiro Hayashi 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 | 5 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 30 | |
| 9 | 21 | |
| 10 | 30 | |
| 11 | 28 | |
| 12 | Improvement of Conventional Method of PI Fuzzy Control | 12 |
| 13 | 5 | |
| 14 | Realization of Nonlinear and Linear PID Controls Using Simplified Direct Inference Method | 3 |
| 15 | 50 | |
| 16 | 1 | |
| 17 | 16 | |
| 18 | NEURO FUZZY OPTIMAL TRANSMISSION CONTROL FOR AUTOMOBILE TRAVELING WITH VARIABLE LOADS | 1 |
| 19 | 1 | |
| 20 | FLOW VISUALIZATION TECHNIQUES IN AUTOMOTIVE ENGINEERING | 1 |
About Ken’ichiro Hayashi
Ken’ichiro Hayashi is a scholar working on Immunology and Allergy, Cell Biology and Process Chemistry and Technology, having authored 104 papers that have together received 2.8k indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (12 papers), RNA Research and Splicing (12 papers) and Cellular Mechanics and Interactions (10 papers). The work is most often cited by research in Immunology and Allergy (222 citations), Cell Biology (448 citations) and Molecular Biology (1.5k citations). Ken’ichiro Hayashi has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Kenji Sobue, Wataru Nishida, Tsuyoshi Morita, Kazuhiro Kimura, Masanori Takahashi, Yasuyuki Ohkawa, Kiyoshi Matsuyama, Kenji Mishima, Hiroyuki Arai and Junken Aoki. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research 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.