Iwao Kukimoto
About
In The Last Decade
Iwao Kukimoto
73 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 84
- Molecular Biology 890
- Epidemiology 606
- Physiology 304
- Oncology 302
- Immunology 245
Countries citing papers authored by Iwao Kukimoto
This map shows the geographic impact of Iwao Kukimoto'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 Iwao Kukimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iwao Kukimoto more than expected).
Fields of papers citing papers by Iwao Kukimoto
This network shows the impact of papers produced by Iwao Kukimoto. 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 Iwao Kukimoto. The network helps show where Iwao Kukimoto may publish in the future.
Co-authorship network of co-authors of Iwao Kukimoto
This figure shows the co-authorship network connecting the top 25 collaborators of Iwao Kukimoto. A scholar is included among the top collaborators of Iwao Kukimoto 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 Iwao Kukimoto. Iwao Kukimoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 7 | |
| 8 | 9 | |
| 9 | 16 | |
| 10 | 24 | |
| 11 | 39 | |
| 12 | 18 | |
| 13 | 53 | |
| 14 | 27 | |
| 15 | 38 | |
| 16 | 15 | |
| 17 | 23 | |
| 18 | 11 | |
| 19 | 8 | |
| 20 | 40 |
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.