Aiko Tomita
About
In The Last Decade
Aiko Tomita
7 papers receiving 170 citations
Peers
Comparison fields: 5 of 57
- Pharmacology 92
- Molecular Biology 51
- Oncology 44
- Cardiology and Cardiovascular Medicine 24
- Hematology 21
Countries citing papers authored by Aiko Tomita
This map shows the geographic impact of Aiko Tomita'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 Aiko Tomita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aiko Tomita more than expected).
Fields of papers citing papers by Aiko Tomita
This network shows the impact of papers produced by Aiko Tomita. 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 Aiko Tomita. The network helps show where Aiko Tomita may publish in the future.
Co-authorship network of co-authors of Aiko Tomita
This figure shows the co-authorship network connecting the top 25 collaborators of Aiko Tomita. A scholar is included among the top collaborators of Aiko Tomita 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 Aiko Tomita. Aiko Tomita 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 | 7 | |
| 3 | 6 | |
| 4 | 16 | |
| 5 | 14 | |
| 6 | 14 | |
| 7 | 120 |
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.