Shinya Kawata
About
In The Last Decade
Shinya Kawata
5 papers receiving 403 citations
Peers
Comparison fields: 5 of 40
- Pharmacology 329
- Cellular and Molecular Neuroscience 265
- Cognitive Neuroscience 155
- Surgery 60
- Molecular Biology 50
Countries citing papers authored by Shinya Kawata
This map shows the geographic impact of Shinya Kawata'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 Shinya Kawata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shinya Kawata more than expected).
Fields of papers citing papers by Shinya Kawata
This network shows the impact of papers produced by Shinya Kawata. 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 Shinya Kawata. The network helps show where Shinya Kawata may publish in the future.
Co-authorship network of co-authors of Shinya Kawata
This figure shows the co-authorship network connecting the top 25 collaborators of Shinya Kawata. A scholar is included among the top collaborators of Shinya Kawata 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 Shinya Kawata. Shinya Kawata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 17 | |
| 3 | [Cellular and molecular mechanisms of synapse elimination in the Mammalian brain]. | 2 |
| 4 | 368 | |
| 5 | 20 |
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.