Sakiko Tabata
About
In The Last Decade
Sakiko Tabata
8 papers receiving 598 citations
Peers
Comparison fields: 5 of 79
- Infectious Diseases 507
- Biomedical Engineering 174
- Radiology, Nuclear Medicine and Imaging 105
- Neurology 89
- Molecular Biology 86
Countries citing papers authored by Sakiko Tabata
This map shows the geographic impact of Sakiko Tabata'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 Sakiko Tabata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sakiko Tabata more than expected).
Fields of papers citing papers by Sakiko Tabata
This network shows the impact of papers produced by Sakiko Tabata. 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 Sakiko Tabata. The network helps show where Sakiko Tabata may publish in the future.
Co-authorship network of co-authors of Sakiko Tabata
This figure shows the co-authorship network connecting the top 25 collaborators of Sakiko Tabata. A scholar is included among the top collaborators of Sakiko Tabata 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 Sakiko Tabata. Sakiko Tabata 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 | 41 | |
| 3 | 11 | |
| 4 | 82 | |
| 5 | 170 | |
| 6 | 11 | |
| 7 | 283 | |
| 8 | 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.