Teruo Miyata
About
In The Last Decade
Teruo Miyata
40 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 114
- Biomaterials 854
- Biomedical Engineering 511
- Surgery 351
- Molecular Biology 275
- Urology 176
Countries citing papers authored by Teruo Miyata
This map shows the geographic impact of Teruo Miyata'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 Teruo Miyata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teruo Miyata more than expected).
Fields of papers citing papers by Teruo Miyata
This network shows the impact of papers produced by Teruo Miyata. 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 Teruo Miyata. The network helps show where Teruo Miyata may publish in the future.
Co-authorship network of co-authors of Teruo Miyata
This figure shows the co-authorship network connecting the top 25 collaborators of Teruo Miyata. A scholar is included among the top collaborators of Teruo Miyata 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 Teruo Miyata. Teruo Miyata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 59 | |
| 3 | 19 | |
| 4 | 122 | |
| 5 | 10 | |
| 6 | 31 | |
| 7 | 12 | |
| 8 | 5 | |
| 9 | 83 | |
| 10 | 124 | |
| 11 | 56 | |
| 12 | 27 | |
| 13 | 174 | |
| 14 | 59 | |
| 15 | 4 | |
| 16 | 9 | |
| 17 | 3 | |
| 18 | 13 | |
| 19 | 7 | |
| 20 | 40 |
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.