Yoichi Satomura
About
In The Last Decade
Yoichi Satomura
23 papers receiving 399 citations
Peers
Comparison fields: 5 of 78
- Epidemiology 114
- Hepatology 112
- Neurology 107
- Molecular Biology 95
- Cellular and Molecular Neuroscience 67
Countries citing papers authored by Yoichi Satomura
This map shows the geographic impact of Yoichi Satomura'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 Yoichi Satomura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoichi Satomura more than expected).
Fields of papers citing papers by Yoichi Satomura
This network shows the impact of papers produced by Yoichi Satomura. 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 Yoichi Satomura. The network helps show where Yoichi Satomura may publish in the future.
Co-authorship network of co-authors of Yoichi Satomura
This figure shows the co-authorship network connecting the top 25 collaborators of Yoichi Satomura. A scholar is included among the top collaborators of Yoichi Satomura 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 Yoichi Satomura. Yoichi Satomura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 52 | |
| 2 | 14 | |
| 3 | 7 | |
| 4 | Template definition language: The concept and proposal | 2 |
| 5 | 24 | |
| 6 | Associating semantic grammars with the SNOMED: processing medical language and representing clinical facts into a language-independent frame. | 6 |
| 7 | 80 | |
| 8 | 10 | |
| 9 | 8 | |
| 10 | 67 | |
| 11 | Special issue : New development of a medical artificial intelligence.Construction of medical database by natural language text processing. | 1 |
| 12 | 16 | |
| 13 | 6 | |
| 14 | 1 | |
| 15 | 10 | |
| 16 | 19 | |
| 17 | [The influence of dose of transfusion and component of blood on the incidence of post-transfusion hepatitis]. | 1 |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 1 |
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.