Hiroko Furuya
About
In The Last Decade
Hiroko Furuya
7 papers receiving 508 citations
Peers
Comparison fields: 5 of 63
- Immunology and Allergy 315
- Molecular Biology 298
- Cell Biology 216
- Immunology 64
- Oncology 51
Countries citing papers authored by Hiroko Furuya
This map shows the geographic impact of Hiroko Furuya'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 Hiroko Furuya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroko Furuya more than expected).
Fields of papers citing papers by Hiroko Furuya
This network shows the impact of papers produced by Hiroko Furuya. 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 Hiroko Furuya. The network helps show where Hiroko Furuya may publish in the future.
Co-authorship network of co-authors of Hiroko Furuya
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroko Furuya. A scholar is included among the top collaborators of Hiroko Furuya 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 Hiroko Furuya. Hiroko Furuya 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 | 7 | |
| 3 | 25 | |
| 4 | 109 | |
| 5 | Tyrosine phosphorylation of p130Cas in cell adhesion and transformation. | 21 |
| 6 | 302 | |
| 7 | 45 |
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.