Carlos Labão‐Almeida
About
In The Last Decade
Carlos Labão‐Almeida
8 papers receiving 134 citations
Peers
Comparison fields: 5 of 51
- Immunology 68
- Surgery 37
- Organic Chemistry 29
- Molecular Biology 26
- Oncology 14
Countries citing papers authored by Carlos Labão‐Almeida
This map shows the geographic impact of Carlos Labão‐Almeida'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 Carlos Labão‐Almeida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos Labão‐Almeida more than expected).
Fields of papers citing papers by Carlos Labão‐Almeida
This network shows the impact of papers produced by Carlos Labão‐Almeida. 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 Carlos Labão‐Almeida. The network helps show where Carlos Labão‐Almeida may publish in the future.
Co-authorship network of co-authors of Carlos Labão‐Almeida
This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Labão‐Almeida. A scholar is included among the top collaborators of Carlos Labão‐Almeida 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 Carlos Labão‐Almeida. Carlos Labão‐Almeida is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 37 | |
| 8 | 72 | |
| 9 | 11 |
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.