Iku Utsunomiya
About
In The Last Decade
Iku Utsunomiya
57 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 98
- Molecular Biology 394
- Cellular and Molecular Neuroscience 362
- Physiology 341
- Immunology 337
- Oncology 272
Countries citing papers authored by Iku Utsunomiya
This map shows the geographic impact of Iku Utsunomiya'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 Iku Utsunomiya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iku Utsunomiya more than expected).
Fields of papers citing papers by Iku Utsunomiya
This network shows the impact of papers produced by Iku Utsunomiya. 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 Iku Utsunomiya. The network helps show where Iku Utsunomiya may publish in the future.
Co-authorship network of co-authors of Iku Utsunomiya
This figure shows the co-authorship network connecting the top 25 collaborators of Iku Utsunomiya. A scholar is included among the top collaborators of Iku Utsunomiya 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 Iku Utsunomiya. Iku Utsunomiya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 15 | |
| 5 | 5 | |
| 6 | 10 | |
| 7 | 17 | |
| 8 | 17 | |
| 9 | 35 | |
| 10 | 17 | |
| 11 | 29 | |
| 12 | 30 | |
| 13 | 160 | |
| 14 | 40 | |
| 15 | 23 | |
| 16 | 38 | |
| 17 | 52 | |
| 18 | 3 | |
| 19 | 28 | |
| 20 | 12 |
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.