Nair Varela
About
In The Last Decade
Nair Varela
3 papers receiving 18 citations
Peers
Comparison fields: 5 of 20
- Infectious Diseases 13
- Biomedical Engineering 6
- Molecular Biology 3
- Clinical Psychology 3
- Pulmonary and Respiratory Medicine 2
Countries citing papers authored by Nair Varela
This map shows the geographic impact of Nair Varela'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 Nair Varela with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nair Varela more than expected).
Fields of papers citing papers by Nair Varela
This network shows the impact of papers produced by Nair Varela. 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 Nair Varela. The network helps show where Nair Varela may publish in the future.
Co-authorship network of co-authors of Nair Varela
This figure shows the co-authorship network connecting the top 25 collaborators of Nair Varela. A scholar is included among the top collaborators of Nair Varela 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 Nair Varela. Nair Varela is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | SARS-CoV-2 seroprevalence among workers in a hospital in Madrid | 4 |
| 3 | 7 | |
| 4 | 0 |
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.