Catalina Ribas
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 5%
- Cell Biology top 5%
- Physiology
- Oncology
- Co-authors
- Federico MayorPetronila PenelaCristina MurgaCarlota García‐HozStephen M. LanierIvette AymerichMary J. CismowskiEmir Duzic
- Topics
- Receptor Mechanisms and Signaling (25 papers)Protein Kinase Regulation and GTPase Signaling (18 papers)Neuroscience and Neuropharmacology Research (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Catalina Ribas
38 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 1.6k
- Cellular and Molecular Neuroscience 530
- Cell Biology 217
- Physiology 182
- Oncology 173
Countries citing papers authored by Catalina Ribas
This map shows the geographic impact of Catalina Ribas'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 Catalina Ribas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catalina Ribas more than expected).
Fields of papers citing papers by Catalina Ribas
This network shows the impact of papers produced by Catalina Ribas. 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 Catalina Ribas. The network helps show where Catalina Ribas may publish in the future.
Co-authorship network of co-authors of Catalina Ribas
This figure shows the co-authorship network connecting the top 25 collaborators of Catalina Ribas. A scholar is included among the top collaborators of Catalina Ribas 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 Catalina Ribas. Catalina Ribas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 28 | |
| 3 | 68 | |
| 4 | 9 | |
| 5 | 44 | |
| 6 | 71 | |
| 7 | 11 | |
| 8 | 21 | |
| 9 | 25 | |
| 10 | 178 | |
| 11 | 28 | |
| 12 | 93 | |
| 13 | 17 | |
| 14 | 315 | |
| 15 | 21 | |
| 16 | 219 | |
| 17 | 18 | |
| 18 | 24 | |
| 19 | 2 | |
| 20 | 13 |
About Catalina Ribas
Catalina Ribas is a scholar working on Immunology and Allergy, Cellular and Molecular Neuroscience and Molecular Biology, having authored 38 papers that have together received 2.0k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (25 papers), Protein Kinase Regulation and GTPase Signaling (18 papers) and Neuroscience and Neuropharmacology Research (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (530 citations), Molecular Biology (1.6k citations) and Immunology and Allergy (113 citations). Catalina Ribas has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Federico Mayor, Petronila Penela, Cristina Murga, Carlota García‐Hoz, Stephen M. Lanier, Ivette Aymerich, Mary J. Cismowski, Emir Duzic, María Jurado-Pueyo and Alicia Salcedo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.