Yutaka Amako
About
In The Last Decade
Yutaka Amako
13 papers receiving 771 citations
Peers
Comparison fields: 5 of 71
- Hepatology 384
- Epidemiology 338
- Molecular Biology 251
- Cell Biology 93
- Immunology 88
Countries citing papers authored by Yutaka Amako
This map shows the geographic impact of Yutaka Amako'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 Yutaka Amako with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yutaka Amako more than expected).
Fields of papers citing papers by Yutaka Amako
This network shows the impact of papers produced by Yutaka Amako. 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 Yutaka Amako. The network helps show where Yutaka Amako may publish in the future.
Co-authorship network of co-authors of Yutaka Amako
This figure shows the co-authorship network connecting the top 25 collaborators of Yutaka Amako. A scholar is included among the top collaborators of Yutaka Amako 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 Yutaka Amako. Yutaka Amako is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | 26 | |
| 4 | 41 | |
| 5 | 21 | |
| 6 | 32 | |
| 7 | 26 | |
| 8 | 25 | |
| 9 | 35 | |
| 10 | 78 | |
| 11 | 280 | |
| 12 | 100 | |
| 13 | 110 |
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.