Yuma Sakamoto
About
In The Last Decade
Yuma Sakamoto
28 papers receiving 197 citations
Peers
Comparison fields: 5 of 41
- Immunology 61
- Oncology 60
- Pathology and Forensic Medicine 57
- Ecology, Evolution, Behavior and Systematics 31
- Hematology 31
Countries citing papers authored by Yuma Sakamoto
This map shows the geographic impact of Yuma Sakamoto'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 Yuma Sakamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuma Sakamoto more than expected).
Fields of papers citing papers by Yuma Sakamoto
This network shows the impact of papers produced by Yuma Sakamoto. 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 Yuma Sakamoto. The network helps show where Yuma Sakamoto may publish in the future.
Co-authorship network of co-authors of Yuma Sakamoto
This figure shows the co-authorship network connecting the top 25 collaborators of Yuma Sakamoto. A scholar is included among the top collaborators of Yuma Sakamoto 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 Yuma Sakamoto. Yuma Sakamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 7 | |
| 5 | 10 | |
| 6 | 12 | |
| 7 | 12 | |
| 8 | 11 | |
| 9 | 12 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 18 | |
| 13 | 20 | |
| 14 | 7 | |
| 15 | 17 | |
| 16 | 9 | |
| 17 | 4 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | [Acquired pure red cell aplasia associated with malignant B cell lymphoma]. | 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.