Aida Font
About
In The Last Decade
Aida Font
6 papers receiving 120 citations
Peers
Comparison fields: 5 of 34
- Molecular Biology 78
- Clinical Biochemistry 52
- Biochemistry 32
- Nephrology 20
- Renewable Energy, Sustainability and the Environment 20
Countries citing papers authored by Aida Font
This map shows the geographic impact of Aida Font'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 Aida Font with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aida Font more than expected).
Fields of papers citing papers by Aida Font
This network shows the impact of papers produced by Aida Font. 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 Aida Font. The network helps show where Aida Font may publish in the future.
Co-authorship network of co-authors of Aida Font
This figure shows the co-authorship network connecting the top 25 collaborators of Aida Font. A scholar is included among the top collaborators of Aida Font 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 Aida Font. Aida Font is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 1 | |
| 3 | 13 | |
| 4 | 28 | |
| 5 | 22 | |
| 6 | 32 |
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.