Ken-ichi Kusano
About
In The Last Decade
Ken-ichi Kusano
7 papers receiving 407 citations
Peers
Comparison fields: 5 of 73
- Molecular Biology 226
- Cardiology and Cardiovascular Medicine 126
- Cell Biology 102
- Endocrinology, Diabetes and Metabolism 69
- Cellular and Molecular Neuroscience 43
Countries citing papers authored by Ken-ichi Kusano
This map shows the geographic impact of Ken-ichi Kusano'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 Ken-ichi Kusano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken-ichi Kusano more than expected).
Fields of papers citing papers by Ken-ichi Kusano
This network shows the impact of papers produced by Ken-ichi Kusano. 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 Ken-ichi Kusano. The network helps show where Ken-ichi Kusano may publish in the future.
Co-authorship network of co-authors of Ken-ichi Kusano
This figure shows the co-authorship network connecting the top 25 collaborators of Ken-ichi Kusano. A scholar is included among the top collaborators of Ken-ichi Kusano 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 Ken-ichi Kusano. Ken-ichi Kusano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 127 | |
| 2 | 115 | |
| 3 | 58 | |
| 4 | 1 | |
| 5 | 21 | |
| 6 | 22 | |
| 7 | 69 |
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.