Naoko Imanaka
About
In The Last Decade
Naoko Imanaka
5 papers receiving 641 citations
Hit Papers
Peers
Comparison fields: 5 of 59
- Immunology 294
- Molecular Biology 266
- Oncology 181
- Epidemiology 121
- Infectious Diseases 121
Countries citing papers authored by Naoko Imanaka
This map shows the geographic impact of Naoko Imanaka'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 Naoko Imanaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoko Imanaka more than expected).
Fields of papers citing papers by Naoko Imanaka
This network shows the impact of papers produced by Naoko Imanaka. 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 Naoko Imanaka. The network helps show where Naoko Imanaka may publish in the future.
Co-authorship network of co-authors of Naoko Imanaka
This figure shows the co-authorship network connecting the top 25 collaborators of Naoko Imanaka. A scholar is included among the top collaborators of Naoko Imanaka 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 Naoko Imanaka. Naoko Imanaka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 69 | |
| 3 | IFNβ-dependent increases in STAT1, STAT2, and IRF9 mediate resistance to viruses and DNA damage breakdown → | 254 |
| 4 | 148 | |
| 5 | 159 |
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.