Takeshi Ikeuchi
About
In The Last Decade
Takeshi Ikeuchi
5 papers receiving 14 citations
Peers
Comparison fields: 5 of 13
- Molecular Biology 9
- Cellular and Molecular Neuroscience 6
- Genetics 5
- Physiology 4
- Neurology 3
Countries citing papers authored by Takeshi Ikeuchi
This map shows the geographic impact of Takeshi Ikeuchi'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 Takeshi Ikeuchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takeshi Ikeuchi more than expected).
Fields of papers citing papers by Takeshi Ikeuchi
This network shows the impact of papers produced by Takeshi Ikeuchi. 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 Takeshi Ikeuchi. The network helps show where Takeshi Ikeuchi may publish in the future.
Co-authorship network of co-authors of Takeshi Ikeuchi
This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Ikeuchi. A scholar is included among the top collaborators of Takeshi Ikeuchi 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 Takeshi Ikeuchi. Takeshi Ikeuchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 7 |
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.