Susana Ravassa
- Cardiology and Cardiovascular Medicine top 1%
- Molecular Biology top 10%
- Surgery top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Immunology top 10%
- Co-authors
- Javier Dı́ezArantxa GonzálezBegoña LópezJavier BeaumontGorka San JoséMaría U. MorenoRamón QuerejetaMaría Antonia Fortuño
- Topics
- Cardiac Fibrosis and Remodeling (24 papers)Cardiovascular Function and Risk Factors (18 papers)Cardiac Valve Diseases and Treatments (11 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismMolecular Biology
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Susana Ravassa
86 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Cardiology and Cardiovascular Medicine 2.0k
- Molecular Biology 1.2k
- Surgery 628
- Endocrinology, Diabetes and Metabolism 425
- Immunology 296
Countries citing papers authored by Susana Ravassa
This map shows the geographic impact of Susana Ravassa'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 Susana Ravassa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susana Ravassa more than expected).
Fields of papers citing papers by Susana Ravassa
This network shows the impact of papers produced by Susana Ravassa. 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 Susana Ravassa. The network helps show where Susana Ravassa may publish in the future.
Co-authorship network of co-authors of Susana Ravassa
This figure shows the co-authorship network connecting the top 25 collaborators of Susana Ravassa. A scholar is included among the top collaborators of Susana Ravassa 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 Susana Ravassa. Susana Ravassa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 16 | |
| 3 | 4 | |
| 4 | 11 | |
| 5 | 48 | |
| 6 | 24 | |
| 7 | 117 | |
| 8 | 62 | |
| 9 | 41 | |
| 10 | 22 | |
| 11 | 10 | |
| 12 | 110 | |
| 13 | 27 | |
| 14 | 196 | |
| 15 | 20 | |
| 16 | 58 | |
| 17 | 45 | |
| 18 | 19 | |
| 19 | 19 | |
| 20 | Apoptosis en la cardiopatía hipertensiva | 1 |
About Susana Ravassa
Susana Ravassa is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Geriatrics and Gerontology, having authored 90 papers that have together received 3.4k indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (24 papers), Cardiovascular Function and Risk Factors (18 papers) and Cardiac Valve Diseases and Treatments (11 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.0k citations), Endocrinology, Diabetes and Metabolism (425 citations) and Molecular Biology (1.2k citations). Susana Ravassa has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Javier Dı́ez, Arantxa González, Begoña López, Javier Beaumont, Gorka San José, María U. Moreno, Ramón Querejeta, María Antonia Fortuño, Amaia Zudaire and Guillermo Zalba. Their work appears in journals such as Journal of Biological Chemistry, Journal of the American College of Cardiology and PLoS ONE.
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.