Masaki Sakai
- Cellular and Molecular Neuroscience top 5%
- Cognitive Neuroscience top 5%
- Molecular Biology
- Ecology, Evolution, Behavior and Systematics top 5%
- Electrical and Electronic Engineering
- Co-authors
- Kisou KubotaCharles D. WoodyShin‐ya KawaguchiKen SasakiHiroshi OkaNoboru MizunoHiroshi NishinoBarbara E. Swartz
- Topics
- Animal Behavior and Reproduction (17 papers)Orthoptera Research and Taxonomy (17 papers)Insect and Arachnid Ecology and Behavior (14 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Masaki Sakai
83 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 133
- Cellular and Molecular Neuroscience 453
- Cognitive Neuroscience 369
- Molecular Biology 336
- Ecology, Evolution, Behavior and Systematics 281
- Electrical and Electronic Engineering 227
Countries citing papers authored by Masaki Sakai
This map shows the geographic impact of Masaki 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 Masaki Sakai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masaki Sakai more than expected).
Fields of papers citing papers by Masaki Sakai
This network shows the impact of papers produced by Masaki 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 Masaki Sakai. The network helps show where Masaki Sakai may publish in the future.
Co-authorship network of co-authors of Masaki Sakai
This figure shows the co-authorship network connecting the top 25 collaborators of Masaki Sakai. A scholar is included among the top collaborators of Masaki 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 Masaki Sakai. Masaki 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 | 27 | |
| 3 | 52 | |
| 4 | 1 | |
| 5 | 25 | |
| 6 | Motor loss increment of induction motor driven by PWM inverter in comparison with inverter circuit loss | 10 |
| 7 | 8 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 11 | |
| 11 | 1 | |
| 12 | 125 | |
| 13 | 20 | |
| 14 | 17 | |
| 15 | ULTRASTRUCTURAL OBSERVATION OF DIAPAUSE AND NON-DIAPAUSE EGGS IN THE BAND-LEGGED GROUND CRICKET, Dianemobius nigrofasciatus(Developmental Biology)Proceedings of the Seventy-First Annual Meeting of the Zoological Society of Japan : | 1 |
| 16 | 14 | |
| 17 | 60 | |
| 18 | 12 | |
| 19 | 4 | |
| 20 | ウスバカゲロウ(Hagenomyia-micans)(脈翅類、ウスバカゲロウ科)における成長の光周性制御 | 6 |
About Masaki Sakai
Masaki Sakai is a scholar working on Ecology, Evolution, Behavior and Systematics, Cellular and Molecular Neuroscience and Genetics, having authored 88 papers that have together received 1.6k indexed citations. Recurring topics across this work include Animal Behavior and Reproduction (17 papers), Orthoptera Research and Taxonomy (17 papers) and Insect and Arachnid Ecology and Behavior (14 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (453 citations), Cognitive Neuroscience (369 citations) and Neurology (148 citations). Masaki Sakai has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Kisou Kubota, Charles D. Woody, Shin‐ya Kawaguchi, Ken Sasaki, Hiroshi Oka, Noboru Mizuno, Hiroshi Nishino, Barbara E. Swartz, Ikuma Hamada and Y. Matsumoto. Their work appears in journals such as Biomaterials, The Journal of Comparative Neurology and Brain 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.