Ikuya Sakai
About
In The Last Decade
Ikuya Sakai
46 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 74
- Oncology 453
- Molecular Biology 419
- Immunology 299
- Hematology 151
- Pathology and Forensic Medicine 111
Countries citing papers authored by Ikuya Sakai
This map shows the geographic impact of Ikuya Sakai'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 Ikuya Sakai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ikuya Sakai more than expected).
Fields of papers citing papers by Ikuya Sakai
This network shows the impact of papers produced by Ikuya Sakai. 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 Ikuya Sakai. The network helps show where Ikuya Sakai may publish in the future.
Co-authorship network of co-authors of Ikuya Sakai
This figure shows the co-authorship network connecting the top 25 collaborators of Ikuya Sakai. A scholar is included among the top collaborators of Ikuya Sakai 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 Ikuya Sakai. Ikuya Sakai 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 | 8 | |
| 4 | 28 | |
| 5 | 26 | |
| 6 | 12 | |
| 7 | 13 | |
| 8 | 15 | |
| 9 | 42 | |
| 10 | 6 | |
| 11 | 13 | |
| 12 | 40 | |
| 13 | 20 | |
| 14 | [Granulocytic sarcoma developing in lymph nodes]. | 0 |
| 15 | 41 | |
| 16 | 6 | |
| 17 | 8 | |
| 18 | 33 | |
| 19 | 159 | |
| 20 | [The indications for the use of salazosulfapyridine in rheumatoid arthritis patients]. | 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.