Núria Masachs
About
In The Last Decade
Núria Masachs
9 papers receiving 327 citations
Peers
Comparison fields: 5 of 62
- Developmental Neuroscience 186
- Cellular and Molecular Neuroscience 153
- Molecular Biology 81
- Genetics 65
- Cognitive Neuroscience 60
Countries citing papers authored by Núria Masachs
This map shows the geographic impact of Núria Masachs'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 Núria Masachs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Núria Masachs more than expected).
Fields of papers citing papers by Núria Masachs
This network shows the impact of papers produced by Núria Masachs. 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 Núria Masachs. The network helps show where Núria Masachs may publish in the future.
Co-authorship network of co-authors of Núria Masachs
This figure shows the co-authorship network connecting the top 25 collaborators of Núria Masachs. A scholar is included among the top collaborators of Núria Masachs 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 Núria Masachs. Núria Masachs 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 | 5 | |
| 3 | 5 | |
| 4 | 15 | |
| 5 | 32 | |
| 6 | 48 | |
| 7 | 53 | |
| 8 | 17 | |
| 9 | 74 | |
| 10 | 81 |
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.