Naomi Nihonmatsu
About
In The Last Decade
Naomi Nihonmatsu
8 papers receiving 684 citations
Peers
Comparison fields: 5 of 52
- Physiology 499
- Molecular Biology 448
- Cellular and Molecular Neuroscience 184
- Pharmacology 134
- Cell Biology 111
Countries citing papers authored by Naomi Nihonmatsu
This map shows the geographic impact of Naomi Nihonmatsu'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 Naomi Nihonmatsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naomi Nihonmatsu more than expected).
Fields of papers citing papers by Naomi Nihonmatsu
This network shows the impact of papers produced by Naomi Nihonmatsu. 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 Naomi Nihonmatsu. The network helps show where Naomi Nihonmatsu may publish in the future.
Co-authorship network of co-authors of Naomi Nihonmatsu
This figure shows the co-authorship network connecting the top 25 collaborators of Naomi Nihonmatsu. A scholar is included among the top collaborators of Naomi Nihonmatsu 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 Naomi Nihonmatsu. Naomi Nihonmatsu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 22 | |
| 3 | 45 | |
| 4 | 103 | |
| 5 | 133 | |
| 6 | 342 | |
| 7 | 27 | |
| 8 | 10 |
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.