Sho Matsui
About
In The Last Decade
Sho Matsui
7 papers receiving 355 citations
Peers
Comparison fields: 5 of 52
- Molecular Biology 284
- Oncology 68
- Surgery 53
- Cell Biology 39
- Pulmonary and Respiratory Medicine 30
Countries citing papers authored by Sho Matsui
This map shows the geographic impact of Sho Matsui'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 Sho Matsui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sho Matsui more than expected).
Fields of papers citing papers by Sho Matsui
This network shows the impact of papers produced by Sho Matsui. 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 Sho Matsui. The network helps show where Sho Matsui may publish in the future.
Co-authorship network of co-authors of Sho Matsui
This figure shows the co-authorship network connecting the top 25 collaborators of Sho Matsui. A scholar is included among the top collaborators of Sho Matsui 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 Sho Matsui. Sho Matsui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 15 | |
| 4 | 11 | |
| 5 | 5 | |
| 6 | E-cadherin and alpha-catenin expression in human esophageal cancer. | 232 |
| 7 | 75 | |
| 8 | 25 |
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.