Kenichi Toma
About
In The Last Decade
Kenichi Toma
13 papers receiving 384 citations
Peers
Comparison fields: 5 of 62
- Molecular Biology 244
- Cellular and Molecular Neuroscience 121
- Developmental Neuroscience 81
- Genetics 52
- Cognitive Neuroscience 37
Countries citing papers authored by Kenichi Toma
This map shows the geographic impact of Kenichi Toma'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 Kenichi Toma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenichi Toma more than expected).
Fields of papers citing papers by Kenichi Toma
This network shows the impact of papers produced by Kenichi Toma. 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 Kenichi Toma. The network helps show where Kenichi Toma may publish in the future.
Co-authorship network of co-authors of Kenichi Toma
This figure shows the co-authorship network connecting the top 25 collaborators of Kenichi Toma. A scholar is included among the top collaborators of Kenichi Toma 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 Kenichi Toma. Kenichi Toma 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 | 1 | |
| 4 | 12 | |
| 5 | 3 | |
| 6 | 14 | |
| 7 | 4 | |
| 8 | 47 | |
| 9 | 73 | |
| 10 | 67 | |
| 11 | 18 | |
| 12 | 49 | |
| 13 | 80 | |
| 14 | 16 |
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.