Aníbal Arias
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Epidemiology
- Pulmonary and Respiratory Medicine
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Pablo ObertiRodolfo PizarroMariano FalconiArturo CagideJuan KraussÓscar BazzinoDiego Pérez de ArenazaCésar Belziti
- Topics
- Cardiac Valve Diseases and Treatments (7 papers)Takotsubo Cardiomyopathy and Associated Phenomena (5 papers)Cardiac Structural Anomalies and Repair (5 papers)
In The Last Decade
Aníbal Arias
12 papers receiving 275 citations
Peers
Comparison fields: 5 of 27
- Cardiology and Cardiovascular Medicine 272
- Surgery 127
- Epidemiology 98
- Pulmonary and Respiratory Medicine 51
- Radiology, Nuclear Medicine and Imaging 51
Countries citing papers authored by Aníbal Arias
This map shows the geographic impact of Aníbal Arias'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 Aníbal Arias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aníbal Arias more than expected).
Fields of papers citing papers by Aníbal Arias
This network shows the impact of papers produced by Aníbal Arias. 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 Aníbal Arias. The network helps show where Aníbal Arias may publish in the future.
Co-authorship network of co-authors of Aníbal Arias
This figure shows the co-authorship network connecting the top 25 collaborators of Aníbal Arias. A scholar is included among the top collaborators of Aníbal Arias 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 Aníbal Arias. Aníbal Arias 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 | 0 | |
| 3 | 11 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | [Neurologic complications of infective endocarditis: do they have an impact on prognosis?] | 5 |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 26 | |
| 13 | 17 | |
| 14 | 0 | |
| 15 | Análisis de costo-efectividad de estrategias alternativas en el manejo de pacientes con accidente cerebrovascular criptogénico y foramen oval permeable | 0 |
| 16 | 72 | |
| 17 | 26 | |
| 18 | 130 | |
| 19 | Risk Stratification in Severe and Asymptomatic Mitral Valve Insufficiency: How Could Patients with Adverse Outcomes Be Identified? | 1 |
| 20 | Dos, tres y… ¡cuatro! Válvula aórtica cuadricúspide | 0 |
About Aníbal Arias
Aníbal Arias is a scholar working on Cardiology and Cardiovascular Medicine, Developmental Neuroscience and Neurology, having authored 21 papers that have together received 292 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (7 papers), Takotsubo Cardiomyopathy and Associated Phenomena (5 papers) and Cardiac Structural Anomalies and Repair (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (272 citations), Surgery (127 citations) and Epidemiology (98 citations). Aníbal Arias has collaborated with scholars based in Argentina and Italy. Frequent co-authors include Pablo Oberti, Rodolfo Pizarro, Mariano Falconi, Arturo Cagide, Juan Krauss, Óscar Bazzino, Diego Pérez de Arenaza, César Belziti, Patricia Day and Giuseppe Ambrosio. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and Journal of the American Society of Echocardiography.
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.