David Aguiar
About
In The Last Decade
David Aguiar
10 papers receiving 138 citations
Peers
Comparison fields: 5 of 38
- Oncology 40
- Pharmacology 39
- Pathology and Forensic Medicine 31
- Dermatology 30
- Pulmonary and Respiratory Medicine 24
Countries citing papers authored by David Aguiar
This map shows the geographic impact of David Aguiar'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 David Aguiar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Aguiar more than expected).
Fields of papers citing papers by David Aguiar
This network shows the impact of papers produced by David Aguiar. 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 David Aguiar. The network helps show where David Aguiar may publish in the future.
Co-authorship network of co-authors of David Aguiar
This figure shows the co-authorship network connecting the top 25 collaborators of David Aguiar. A scholar is included among the top collaborators of David Aguiar 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 David Aguiar. David Aguiar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 16 | |
| 6 | 23 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 61 | |
| 10 | 6 |
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.