Nahoko Sakaguchi
About
In The Last Decade
Nahoko Sakaguchi
8 papers receiving 818 citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 391
- Cell Biology 210
- Applied Microbiology and Biotechnology 172
- Biochemistry 112
- Oncology 95
Countries citing papers authored by Nahoko Sakaguchi
This map shows the geographic impact of Nahoko Sakaguchi'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 Nahoko Sakaguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nahoko Sakaguchi more than expected).
Fields of papers citing papers by Nahoko Sakaguchi
This network shows the impact of papers produced by Nahoko Sakaguchi. 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 Nahoko Sakaguchi. The network helps show where Nahoko Sakaguchi may publish in the future.
Co-authorship network of co-authors of Nahoko Sakaguchi
This figure shows the co-authorship network connecting the top 25 collaborators of Nahoko Sakaguchi. A scholar is included among the top collaborators of Nahoko Sakaguchi 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 Nahoko Sakaguchi. Nahoko Sakaguchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 102 | |
| 2 | 65 | |
| 3 | 141 | |
| 4 | 132 | |
| 5 | 43 | |
| 6 | 43 | |
| 7 | 102 | |
| 8 | 215 |
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.