Natalie Barretto
About
In The Last Decade
Natalie Barretto
4 papers receiving 85 citations
Peers
Comparison fields: 5 of 29
- Molecular Biology 79
- Cellular and Molecular Neuroscience 14
- Aging 12
- Genetics 11
- Developmental Neuroscience 8
Countries citing papers authored by Natalie Barretto
This map shows the geographic impact of Natalie Barretto'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 Natalie Barretto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalie Barretto more than expected).
Fields of papers citing papers by Natalie Barretto
This network shows the impact of papers produced by Natalie Barretto. 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 Natalie Barretto. The network helps show where Natalie Barretto may publish in the future.
Co-authorship network of co-authors of Natalie Barretto
This figure shows the co-authorship network connecting the top 25 collaborators of Natalie Barretto. A scholar is included among the top collaborators of Natalie Barretto 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 Natalie Barretto. Natalie Barretto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 24 | |
| 3 | 55 | |
| 4 | 2 |
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.