Nami Kawaguchi
About
In The Last Decade
Nami Kawaguchi
7 papers receiving 438 citations
Peers
Comparison fields: 5 of 59
- Neurology 249
- Oncology 221
- Immunology 219
- Cellular and Molecular Neuroscience 83
- Molecular Biology 60
Countries citing papers authored by Nami Kawaguchi
This map shows the geographic impact of Nami Kawaguchi'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 Nami Kawaguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nami Kawaguchi more than expected).
Fields of papers citing papers by Nami Kawaguchi
This network shows the impact of papers produced by Nami Kawaguchi. 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 Nami Kawaguchi. The network helps show where Nami Kawaguchi may publish in the future.
Co-authorship network of co-authors of Nami Kawaguchi
This figure shows the co-authorship network connecting the top 25 collaborators of Nami Kawaguchi. A scholar is included among the top collaborators of Nami Kawaguchi 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 Nami Kawaguchi. Nami Kawaguchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 25 | |
| 4 | [Endogenous D-serine in mammalian brains]. | 7 |
| 5 | 107 | |
| 6 | 294 | |
| 7 | 4 |
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.