Hiroaki Ikushima
About
In The Last Decade
Hiroaki Ikushima
28 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Molecular Biology 1.5k
- Oncology 855
- Immunology 523
- Cancer Research 491
- Genetics 223
Countries citing papers authored by Hiroaki Ikushima
This map shows the geographic impact of Hiroaki Ikushima'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 Hiroaki Ikushima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroaki Ikushima more than expected).
Fields of papers citing papers by Hiroaki Ikushima
This network shows the impact of papers produced by Hiroaki Ikushima. 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 Hiroaki Ikushima. The network helps show where Hiroaki Ikushima may publish in the future.
Co-authorship network of co-authors of Hiroaki Ikushima
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroaki Ikushima. A scholar is included among the top collaborators of Hiroaki Ikushima 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 Hiroaki Ikushima. Hiroaki Ikushima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | 203 | |
| 9 | 23 | |
| 10 | 16 | |
| 11 | 46 | |
| 12 | 30 | |
| 13 | 80 | |
| 14 | 121 | |
| 15 | TGFβ signalling: a complex web in cancer progression breakdown → | 903 |
| 16 | 438 | |
| 17 | 5 | |
| 18 | 68 | |
| 19 | 8 | |
| 20 | 45 |
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.