M. Kasai
- Molecular Biology
- Cellular and Molecular Neuroscience
- Cardiology and Cardiovascular Medicine
- Plant Science
- Cell Biology
- Co-authors
- Takashi KawasakiHiroshi MiyamotoYoh WadaYasutaka AnrakuYoshinori OhsumiManabu TanifujiChangeux JpNaohiro Yamaguchi
- Topics
- Ion channel regulation and function (10 papers)Lipid Membrane Structure and Behavior (4 papers)Neuroscience and Neural Engineering (4 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaBiochemical and Biophysical Research Communications
In The Last Decade
M. Kasai
23 papers receiving 372 citations
Peers
Comparison fields: 5 of 76
- Molecular Biology 300
- Cellular and Molecular Neuroscience 117
- Cardiology and Cardiovascular Medicine 90
- Plant Science 44
- Cell Biology 39
Countries citing papers authored by M. Kasai
This map shows the geographic impact of M. Kasai'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 M. Kasai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Kasai more than expected).
Fields of papers citing papers by M. Kasai
This network shows the impact of papers produced by M. Kasai. 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 M. Kasai. The network helps show where M. Kasai may publish in the future.
Co-authorship network of co-authors of M. Kasai
This figure shows the co-authorship network connecting the top 25 collaborators of M. Kasai. A scholar is included among the top collaborators of M. Kasai 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 M. Kasai. M. Kasai 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 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | In-Vitro Effects of Copper Nanoparticles on Common Bacterial Strains Implicated in Nosocomial Infections | 1 |
| 6 | 5 | |
| 7 | 21 | |
| 8 | 6 | |
| 9 | 18 | |
| 10 | 5 | |
| 11 | 95 | |
| 12 | 7 | |
| 13 | 14 | |
| 14 | 3 | |
| 15 | 8 | |
| 16 | 72 | |
| 17 | 9 | |
| 18 | 14 | |
| 19 | Conformational transitions in the course of membrane excitation. In: Molecular properties of drug receptors. | 7 |
| 20 | 11 |
About M. Kasai
M. Kasai is a scholar working on Cellular and Molecular Neuroscience, Dermatology and Sensory Systems, having authored 25 papers that have together received 396 indexed citations. Recurring topics across this work include Ion channel regulation and function (10 papers), Lipid Membrane Structure and Behavior (4 papers) and Neuroscience and Neural Engineering (4 papers). The work is most often cited by research in Physiology (32 citations), Cellular and Molecular Neuroscience (117 citations) and Sensory Systems (31 citations). M. Kasai has collaborated with scholars based in Japan, Iran and Brazil. Frequent co-authors include Takashi Kawasaki, Hiroshi Miyamoto, Yoh Wada, Yasutaka Anraku, Yoshinori Ohsumi, Manabu Tanifuji, Changeux Jp, Naohiro Yamaguchi, Andrea Francesconi and Thomas J. Walsh. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Biochemical and Biophysical Research 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.