Atsushi Sakai
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 2%
- Physiology top 5%
- Electrical and Electronic Engineering top 10%
- Materials Chemistry top 10%
- Co-authors
- Hidenori SuzukiEtsuo TobitaNaoshi KawamotoToshihiko BabaYumiko IkedaMasayuki FujitaAtsuhiro SakamotoKrishan K. Arora
- Topics
- Pain Mechanisms and Treatments (24 papers)Nerve injury and regeneration (15 papers)Neuropeptides and Animal Physiology (14 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Atsushi Sakai
157 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 158
- Molecular Biology 770
- Cellular and Molecular Neuroscience 700
- Physiology 671
- Electrical and Electronic Engineering 496
- Materials Chemistry 439
Countries citing papers authored by Atsushi Sakai
This map shows the geographic impact of Atsushi Sakai'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 Atsushi Sakai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atsushi Sakai more than expected).
Fields of papers citing papers by Atsushi Sakai
This network shows the impact of papers produced by Atsushi Sakai. 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 Atsushi Sakai. The network helps show where Atsushi Sakai may publish in the future.
Co-authorship network of co-authors of Atsushi Sakai
This figure shows the co-authorship network connecting the top 25 collaborators of Atsushi Sakai. A scholar is included among the top collaborators of Atsushi Sakai 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 Atsushi Sakai. Atsushi Sakai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 19 | |
| 6 | 17 | |
| 7 | 1 | |
| 8 | 18 | |
| 9 | 29 | |
| 10 | 64 | |
| 11 | Development of a cross-cultural children’s trust belief scale | 1 |
| 12 | 166 | |
| 13 | 29 | |
| 14 | 1 | |
| 15 | 16 | |
| 16 | 4 | |
| 17 | 9 | |
| 18 | Developmental Psychopathology: A Behavioural Genetic Approach | 1 |
| 19 | 7 | |
| 20 | Location of the rabbit spinal accessory nucleus: a study by means of the HRP method. | 5 |
About Atsushi Sakai
Atsushi Sakai is a scholar working on Cellular and Molecular Neuroscience, Physiology and Fluid Flow and Transfer Processes, having authored 164 papers that have together received 3.5k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (24 papers), Nerve injury and regeneration (15 papers) and Neuropeptides and Animal Physiology (14 papers). The work is most often cited by research in Process Chemistry and Technology (149 citations), Cellular and Molecular Neuroscience (700 citations) and Biomaterials (367 citations). Atsushi Sakai has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hidenori Suzuki, Etsuo Tobita, Naoshi Kawamoto, Toshihiko Baba, Yumiko Ikeda, Masayuki Fujita, Atsuhiro Sakamoto, Krishan K. Arora, Kevin Catt and Hiroshi Ikeda. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.