Atsushi Kasai
- Molecular Biology top 10%
- Plant Science top 2%
- Cellular and Molecular Neuroscience top 2%
- Pharmacology top 1%
- Surgery top 10%
- Co-authors
- Hitoshi HashimotoNorihito ShintaniTakeo HaradaMineo SendaAkemichi BabaSadaaki MaedaToshio MatsudaTakanobu Nakazawa
- Topics
- Plant Virus Research Studies (18 papers)Receptor Mechanisms and Signaling (14 papers)Neuropeptides and Animal Physiology (11 papers)
- Journals
- NatureScienceCirculation
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Atsushi Kasai
111 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Molecular Biology 1.1k
- Plant Science 844
- Cellular and Molecular Neuroscience 736
- Pharmacology 601
- Surgery 435
Countries citing papers authored by Atsushi Kasai
This map shows the geographic impact of Atsushi 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 Atsushi Kasai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atsushi Kasai more than expected).
Fields of papers citing papers by Atsushi Kasai
This network shows the impact of papers produced by Atsushi 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 Atsushi Kasai. The network helps show where Atsushi Kasai may publish in the future.
Co-authorship network of co-authors of Atsushi Kasai
This figure shows the co-authorship network connecting the top 25 collaborators of Atsushi Kasai. A scholar is included among the top collaborators of Atsushi 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 Atsushi Kasai. Atsushi 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 | 16 | |
| 4 | 2 | |
| 5 | 17 | |
| 6 | 10 | |
| 7 | 1 | |
| 8 | Molecular basis of astrocyte diversity and morphology across the CNS in health and diseasebreakdown → | 296 |
| 9 | 3 | |
| 10 | 16 | |
| 11 | 16 | |
| 12 | 3 | |
| 13 | 4 | |
| 14 | 17 | |
| 15 | Novel mechanism responsible for high-level macrolide resistance in Moraxella catarrhalis | 1 |
| 16 | 23 | |
| 17 | 19 | |
| 18 | 110 | |
| 19 | 血管造影誘導性造影剤腎症を予防するN-アセチルシステイン(NAC研究) | 1 |
| 20 | 1 |
About Atsushi Kasai
Atsushi Kasai is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Cellular and Molecular Neuroscience, having authored 118 papers that have together received 3.2k indexed citations. Recurring topics across this work include Plant Virus Research Studies (18 papers), Receptor Mechanisms and Signaling (14 papers) and Neuropeptides and Animal Physiology (11 papers). The work is most often cited by research in Biological Psychiatry (170 citations), Cellular and Molecular Neuroscience (736 citations) and Pharmacology (601 citations). Atsushi Kasai has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Hitoshi Hashimoto, Norihito Shintani, Takeo Harada, Mineo Senda, Akemichi Baba, Sadaaki Maeda, Toshio Matsuda, Takanobu Nakazawa, Teruo Sano and Tianzhong Li. Their work appears in journals such as Nature, Science and Circulation.
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.