Mariko Ariyoshi
About
In The Last Decade
Mariko Ariyoshi
47 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 109
- Molecular Biology 2.7k
- Genetics 739
- Plant Science 326
- Cell Biology 244
- Oncology 208
Countries citing papers authored by Mariko Ariyoshi
This map shows the geographic impact of Mariko Ariyoshi'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 Mariko Ariyoshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariko Ariyoshi more than expected).
Fields of papers citing papers by Mariko Ariyoshi
This network shows the impact of papers produced by Mariko Ariyoshi. 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 Mariko Ariyoshi. The network helps show where Mariko Ariyoshi may publish in the future.
Co-authorship network of co-authors of Mariko Ariyoshi
This figure shows the co-authorship network connecting the top 25 collaborators of Mariko Ariyoshi. A scholar is included among the top collaborators of Mariko Ariyoshi 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 Mariko Ariyoshi. Mariko Ariyoshi 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 | 14 | |
| 4 | 0 | |
| 5 | 8 | |
| 6 | 42 | |
| 7 | 60 | |
| 8 | 52 | |
| 9 | 14 | |
| 10 | 17 | |
| 11 | 4 | |
| 12 | 290 | |
| 13 | 26 | |
| 14 | 34 | |
| 15 | 65 | |
| 16 | 81 | |
| 17 | 60 | |
| 18 | 52 | |
| 19 | CRYSTAL-STRUCTURE OF T4 ENDONUCLEASE-V IN COMPLEX WITH A DNA SUBSTRATE | 3 |
| 20 | 217 |
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.