Kanako Ikami
About
In The Last Decade
Kanako Ikami
10 papers receiving 367 citations
Peers
Comparison fields: 5 of 64
- Molecular Biology 157
- Public Health, Environmental and Occupational Health 149
- Reproductive Medicine 141
- Genetics 88
- Immunology 64
Countries citing papers authored by Kanako Ikami
This map shows the geographic impact of Kanako Ikami'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 Kanako Ikami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kanako Ikami more than expected).
Fields of papers citing papers by Kanako Ikami
This network shows the impact of papers produced by Kanako Ikami. 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 Kanako Ikami. The network helps show where Kanako Ikami may publish in the future.
Co-authorship network of co-authors of Kanako Ikami
This figure shows the co-authorship network connecting the top 25 collaborators of Kanako Ikami. A scholar is included among the top collaborators of Kanako Ikami 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 Kanako Ikami. Kanako Ikami 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 | 10 | |
| 3 | 18 | |
| 4 | 73 | |
| 5 | 24 | |
| 6 | 92 | |
| 7 | 30 | |
| 8 | 70 | |
| 9 | 27 | |
| 10 | 27 |
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.