Daisuke Fukuta
About
In The Last Decade
Daisuke Fukuta
9 papers receiving 338 citations
Peers
Comparison fields: 5 of 44
- Immunology 202
- Surgery 121
- Molecular Biology 91
- Genetics 90
- Radiology, Nuclear Medicine and Imaging 30
Countries citing papers authored by Daisuke Fukuta
This map shows the geographic impact of Daisuke Fukuta'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 Daisuke Fukuta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Fukuta more than expected).
Fields of papers citing papers by Daisuke Fukuta
This network shows the impact of papers produced by Daisuke Fukuta. 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 Daisuke Fukuta. The network helps show where Daisuke Fukuta may publish in the future.
Co-authorship network of co-authors of Daisuke Fukuta
This figure shows the co-authorship network connecting the top 25 collaborators of Daisuke Fukuta. A scholar is included among the top collaborators of Daisuke Fukuta 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 Daisuke Fukuta. Daisuke Fukuta 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 | 25 | |
| 3 | 20 | |
| 4 | 7 | |
| 5 | 10 | |
| 6 | 1 | |
| 7 | 81 | |
| 8 | 48 | |
| 9 | 143 |
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.