Akira Kato
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 2%
- Cognitive Neuroscience top 5%
- Physiology top 5%
- Oncology top 10%
- Co-authors
- Susumu TonegawaMasahiko WatanabeMakoto HayashiMikio NishimuraDaniel JohnstonRaymond A. ChitwoodKazu NakazawaMichael C. Quirk
- Topics
- Glioma Diagnosis and Treatment (12 papers)Bioactive Compounds and Antitumor Agents (10 papers)Pain Mechanisms and Treatments (10 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Akira Kato
153 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Molecular Biology 1.6k
- Cellular and Molecular Neuroscience 1.1k
- Cognitive Neuroscience 659
- Physiology 442
- Oncology 366
Countries citing papers authored by Akira Kato
This map shows the geographic impact of Akira 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 Akira Kato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akira Kato more than expected).
Fields of papers citing papers by Akira Kato
This network shows the impact of papers produced by Akira 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 Akira Kato. The network helps show where Akira Kato may publish in the future.
Co-authorship network of co-authors of Akira Kato
This figure shows the co-authorship network connecting the top 25 collaborators of Akira Kato. A scholar is included among the top collaborators of Akira 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 Akira Kato. Akira 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 | 2 | |
| 2 | 28 | |
| 3 | 5 | |
| 4 | 17 | |
| 5 | 15 | |
| 6 | Status of the ISO Space Debris Mitigation Standards (2017) | 0 |
| 7 | 80 | |
| 8 | 41 | |
| 9 | 84 | |
| 10 | Requirement for Hippocampal CA3 NMDA Receptors in Associative Memory Recallbreakdown → | 802 |
| 11 | 165 | |
| 12 | 9 | |
| 13 | 1 | |
| 14 | Magnesiofoitite (Mg 2 Al)Al 6 (Si 6 O 18 )(BO 3 ) 3 (OH) 4 , a new alkali-deficient tourmaline | 26 |
| 15 | Infrared Diffuse Reflectance Spectra of Some Hydrous Carbonates | 8 |
| 16 | 9 | |
| 17 | 16 | |
| 18 | Sakuraiite; chemical composition and extent of (Zn, Fe)In-FOR-CuSn substitution | 25 |
| 19 | 5 | |
| 20 | 5 |
About Akira Kato
Akira Kato is a scholar working on Toxicology, Genetics and Pharmaceutical Science, having authored 160 papers that have together received 4.2k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (12 papers), Bioactive Compounds and Antitumor Agents (10 papers) and Pain Mechanisms and Treatments (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Developmental Neuroscience (162 citations) and Cognitive Neuroscience (659 citations). Akira Kato has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Susumu Tonegawa, Masahiko Watanabe, Makoto Hayashi, Mikio Nishimura, Daniel Johnston, Raymond A. Chitwood, Kazu Nakazawa, Michael C. Quirk, Matthew A. Wilson and C. A. Carr. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences 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.