Rosa Varona
- Immunology top 1%
- Molecular Biology top 10%
- Oncology top 5%
- Physiology top 10%
- Infectious Diseases top 5%
- Co-authors
- Gabriel MárquezGérard EberlÁngel ZaballosJulio GutiérrezM BérardIvo G. BonecaCatherine WertsChristophe Brézillon
- Topics
- T-cell and B-cell Immunology (15 papers)Immunotherapy and Immune Responses (12 papers)Chemokine receptors and signaling (12 papers)
- Partner nations
- SpainDenmarkUnited States
In The Last Decade
Rosa Varona
26 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Immunology 1.8k
- Molecular Biology 791
- Oncology 741
- Physiology 309
- Infectious Diseases 268
Countries citing papers authored by Rosa Varona
This map shows the geographic impact of Rosa Varona'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 Rosa Varona with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rosa Varona more than expected).
Fields of papers citing papers by Rosa Varona
This network shows the impact of papers produced by Rosa Varona. 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 Rosa Varona. The network helps show where Rosa Varona may publish in the future.
Co-authorship network of co-authors of Rosa Varona
This figure shows the co-authorship network connecting the top 25 collaborators of Rosa Varona. A scholar is included among the top collaborators of Rosa Varona 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 Rosa Varona. Rosa Varona is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 120 | |
| 3 | 102 | |
| 4 | Lymphoid tissue genesis induced by commensals through NOD1 regulates intestinal homeostasisbreakdown → | 818 |
| 5 | 20 | |
| 6 | 14 | |
| 7 | 69 | |
| 8 | 65 | |
| 9 | 38 | |
| 10 | 180 | |
| 11 | 70 | |
| 12 | 3 | |
| 13 | 47 | |
| 14 | 155 | |
| 15 | Cutting edge: identification of the orphan chemokine receptor GPR-9-6 as CCR9, the receptor for the chemokine TECK. | 157 |
| 16 | 71 | |
| 17 | 79 | |
| 18 | Identification of CCR8 as the specific receptor for the human beta-chemokine I-309: cloning and molecular characterization of murine CCR8 as the receptor for TCA-3. | 72 |
| 19 | 54 | |
| 20 | 56 |
About Rosa Varona
Rosa Varona is a scholar working on Immunology, Immunology and Allergy and Oncology, having authored 27 papers that have together received 2.9k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (15 papers), Immunotherapy and Immune Responses (12 papers) and Chemokine receptors and signaling (12 papers). The work is most often cited by research in Immunology (1.8k citations), Immunology and Allergy (235 citations) and Oncology (741 citations). Rosa Varona has collaborated with scholars based in Spain, Denmark and United States. Frequent co-authors include Gabriel Márquez, Gérard Eberl, Ángel Zaballos, Julio Gutiérrez, M Bérard, Ivo G. Boneca, Catherine Werts, Christophe Brézillon, Carlos Ardavı́n and Carlos Martı́nez-A. Their work appears in journals such as Nature, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.