Rui Freitas
About
In The Last Decade
Rui Freitas
8 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Molecular Biology 2.1k
- Cancer Research 1.1k
- Immunology 641
- Infectious Diseases 275
- Epidemiology 257
Countries citing papers authored by Rui Freitas
This map shows the geographic impact of Rui Freitas'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 Rui Freitas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rui Freitas more than expected).
Fields of papers citing papers by Rui Freitas
This network shows the impact of papers produced by Rui Freitas. 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 Rui Freitas. The network helps show where Rui Freitas may publish in the future.
Co-authorship network of co-authors of Rui Freitas
This figure shows the co-authorship network connecting the top 25 collaborators of Rui Freitas. A scholar is included among the top collaborators of Rui Freitas 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 Rui Freitas. Rui Freitas 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 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 31 | |
| 6 | Rab27a and Rab27b control different steps of the exosome secretion pathway breakdown → | 2056 |
| 7 | 7 | |
| 8 | 360 | |
| 9 | 162 |
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.