Miki Nonaka
About
In The Last Decade
Miki Nonaka
35 papers receiving 510 citations
Peers
Comparison fields: 5 of 88
- Molecular Biology 213
- Cellular and Molecular Neuroscience 178
- Physiology 106
- Biochemistry 85
- Endocrine and Autonomic Systems 49
Countries citing papers authored by Miki Nonaka
This map shows the geographic impact of Miki Nonaka'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 Miki Nonaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miki Nonaka more than expected).
Fields of papers citing papers by Miki Nonaka
This network shows the impact of papers produced by Miki Nonaka. 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 Miki Nonaka. The network helps show where Miki Nonaka may publish in the future.
Co-authorship network of co-authors of Miki Nonaka
This figure shows the co-authorship network connecting the top 25 collaborators of Miki Nonaka. A scholar is included among the top collaborators of Miki Nonaka 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 Miki Nonaka. Miki Nonaka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 19 | |
| 6 | 4 | |
| 7 | 9 | |
| 8 | 21 | |
| 9 | 8 | |
| 10 | 18 | |
| 11 | 18 | |
| 12 | 9 | |
| 13 | 23 | |
| 14 | 1 | |
| 15 | 8 | |
| 16 | 19 | |
| 17 | 55 | |
| 18 | 24 | |
| 19 | 1 | |
| 20 | 8 |
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.