Sayaka Yashima
About
In The Last Decade
Sayaka Yashima
12 papers receiving 255 citations
Peers
Comparison fields: 5 of 61
- Molecular Biology 116
- Genetics 90
- Aquatic Science 34
- Orthopedics and Sports Medicine 30
- Plant Science 30
Countries citing papers authored by Sayaka Yashima
This map shows the geographic impact of Sayaka Yashima'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 Sayaka Yashima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sayaka Yashima more than expected).
Fields of papers citing papers by Sayaka Yashima
This network shows the impact of papers produced by Sayaka Yashima. 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 Sayaka Yashima. The network helps show where Sayaka Yashima may publish in the future.
Co-authorship network of co-authors of Sayaka Yashima
This figure shows the co-authorship network connecting the top 25 collaborators of Sayaka Yashima. A scholar is included among the top collaborators of Sayaka Yashima 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 Sayaka Yashima. Sayaka Yashima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 21 | |
| 3 | 8 | |
| 4 | 2 | |
| 5 | 30 | |
| 6 | 7 | |
| 7 | 11 | |
| 8 | 45 | |
| 9 | 23 | |
| 10 | 79 | |
| 11 | Identification of QTL for salt tolerance in rice via molecular markers | 29 |
| 12 | Mapping of QTL for salt tolerance in rice （Oryza satlva L. ） via molecular markers | 1 |
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.