Julia C. Fontoura
About
In The Last Decade
Julia C. Fontoura
3 papers receiving 276 citations
Peers
Comparison fields: 5 of 78
- Biomedical Engineering 166
- Molecular Biology 77
- Oncology 69
- Biomaterials 45
- Cell Biology 34
Countries citing papers authored by Julia C. Fontoura
This map shows the geographic impact of Julia C. Fontoura'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 Julia C. Fontoura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia C. Fontoura more than expected).
Fields of papers citing papers by Julia C. Fontoura
This network shows the impact of papers produced by Julia C. Fontoura. 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 Julia C. Fontoura. The network helps show where Julia C. Fontoura may publish in the future.
Co-authorship network of co-authors of Julia C. Fontoura
This figure shows the co-authorship network connecting the top 25 collaborators of Julia C. Fontoura. A scholar is included among the top collaborators of Julia C. Fontoura 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 Julia C. Fontoura. Julia C. Fontoura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | TOD: perspectivas comportamentais e sua associação ao TDAH e à TC | 0 |
| 4 | 269 |
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.