Rafael Correa‐Rocha
- Molecular Biology
- Immunology top 5%
- Virology top 2%
- Epidemiology top 10%
- Oncology top 10%
- Co-authors
- María Ángeles Muñoz‐FernándezMarjorie PionVincent PiguetAriel Ruiz i AltabaBarbara SteccaChristophe MasMarie ZbindenFriedrich Beermann
- Topics
- Immune Cell Function and Interaction (21 papers)HIV Research and Treatment (20 papers)T-cell and B-cell Immunology (15 papers)
- Cited by
- VirologyImmunologyTransplantation
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Experimental MedicineSHILAP Revista de lepidopterología
- Partner nations
- SpainUnited StatesCanada
In The Last Decade
Rafael Correa‐Rocha
58 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 547
- Immunology 486
- Virology 354
- Epidemiology 267
- Oncology 234
Countries citing papers authored by Rafael Correa‐Rocha
This map shows the geographic impact of Rafael Correa‐Rocha'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 Rafael Correa‐Rocha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafael Correa‐Rocha more than expected).
Fields of papers citing papers by Rafael Correa‐Rocha
This network shows the impact of papers produced by Rafael Correa‐Rocha. 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 Rafael Correa‐Rocha. The network helps show where Rafael Correa‐Rocha may publish in the future.
Co-authorship network of co-authors of Rafael Correa‐Rocha
This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Correa‐Rocha. A scholar is included among the top collaborators of Rafael Correa‐Rocha 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 Rafael Correa‐Rocha. Rafael Correa‐Rocha 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 | 1 | |
| 3 | 2 | |
| 4 | 14 | |
| 5 | 9 | |
| 6 | 6 | |
| 7 | 26 | |
| 8 | 5 | |
| 9 | 9 | |
| 10 | 26 | |
| 11 | 0 | |
| 12 | 12 | |
| 13 | 20 | |
| 14 | 12 | |
| 15 | 59 | |
| 16 | 1 | |
| 17 | 16 | |
| 18 | 18 | |
| 19 | 114 | |
| 20 | 18 |
About Rafael Correa‐Rocha
Rafael Correa‐Rocha is a scholar working on Virology, Immunology and Transplantation, having authored 67 papers that have together received 1.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (21 papers), HIV Research and Treatment (20 papers) and T-cell and B-cell Immunology (15 papers). The work is most often cited by research in Virology (354 citations), Immunology (486 citations) and Transplantation (36 citations). Rafael Correa‐Rocha has collaborated with scholars based in Spain, United States and Canada. Frequent co-authors include María Ángeles Muñoz‐Fernández, Marjorie Pion, Vincent Piguet, Ariel Ruiz i Altaba, Barbara Stecca, Christophe Mas, Marie Zbinden, Friedrich Beermann, Virginie Clément and Jacobo López‐Abente. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.
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.