Jena Yamada
About
In The Last Decade
Jena Yamada
9 papers receiving 795 citations
Peers
Comparison fields: 5 of 59
- Cellular and Molecular Neuroscience 599
- Molecular Biology 456
- Cognitive Neuroscience 166
- Cell Biology 143
- Developmental Neuroscience 111
Countries citing papers authored by Jena Yamada
This map shows the geographic impact of Jena Yamada'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 Jena Yamada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jena Yamada more than expected).
Fields of papers citing papers by Jena Yamada
This network shows the impact of papers produced by Jena Yamada. 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 Jena Yamada. The network helps show where Jena Yamada may publish in the future.
Co-authorship network of co-authors of Jena Yamada
This figure shows the co-authorship network connecting the top 25 collaborators of Jena Yamada. A scholar is included among the top collaborators of Jena Yamada 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 Jena Yamada. Jena Yamada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 34 | |
| 2 | 33 | |
| 3 | 44 | |
| 4 | 124 | |
| 5 | 84 | |
| 6 | 58 | |
| 7 | 126 | |
| 8 | 155 | |
| 9 | 138 |
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.