R. Favaloro

605 citations
19 papers · 474 indexed · h-index 10
Topics
Cardiac Valve Diseases and Treatments (3 papers)Antiplatelet Therapy and Cardiovascular Diseases (2 papers)Cardiac Structural Anomalies and Repair (2 papers)
Partner nations
ArgentinaUnited States

In The Last Decade

R. Favaloro

19 papers receiving 393 citations

Peers

R. Favaloro
Comparison fields: 5 of 62
  • Cardiology and Cardiovascular Medicine 296
  • Surgery 179
  • Epidemiology 106
  • Pulmonary and Respiratory Medicine 68
  • Internal Medicine 68
Replace Michael N. Young with:
Michael N. Young United States
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Joel S. Larson United States
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R. Favaloro relative to Michael N. Young United States Michael N. Young's profile →
Citations per field
00.5×3.4×
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Citations per year

Countries citing papers authored by R. Favaloro

Since Specialization
Citations

This map shows the geographic impact of R. Favaloro'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 R. Favaloro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Favaloro more than expected).

Fields of papers citing papers by R. Favaloro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Favaloro. 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 R. Favaloro. The network helps show where R. Favaloro may publish in the future.

Co-authorship network of co-authors of R. Favaloro

This figure shows the co-authorship network connecting the top 25 collaborators of R. Favaloro. A scholar is included among the top collaborators of R. Favaloro 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 R. Favaloro. R. Favaloro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 7
2
Borjeson-Forssman-Lehmann syndrome and dilated cardiomyopathy: a previously unreported association.
2
3 13
4 8
5
Critical care nurse perceptions of family needs.
63
6
A comparison of adolescents' and nurses' postoperative pain ratings and perceptions.
17
7
Experimental cardiac transplantation and chronic Chagas' disease in dogs.
13
8
Adolescent development and implications for pain management.
3
9
Correlation between histopathology and aspiration cytology of kidney grafts in 43 cases.
2
10 7
11 3
12 5
13 12
14 133
15 25
16 69
17 69
18 15
19 8

About R. Favaloro

R. Favaloro is a scholar working on Research and Theory, Internal Medicine and Cardiology and Cardiovascular Medicine, having authored 19 papers that have together received 474 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (3 papers), Antiplatelet Therapy and Cardiovascular Diseases (2 papers) and Cardiac Structural Anomalies and Repair (2 papers). The work is most often cited by research in Internal Medicine (68 citations), Cardiology and Cardiovascular Medicine (296 citations) and Radiological and Ultrasound Technology (66 citations). R. Favaloro has collaborated with scholars based in Argentina and United States. Frequent co-authors include Donald B. Effler, Laurence K. Groves, Luis de la Fuente, Fernando Boullón, Raúl Altman, Jorge Rouvier, F. Mason Sones, Mary L. Anderson, James M. Feeney and Patricia Anne O’Malley. Their work appears in journals such as Circulation, Annals of Surgery and American Heart Journal.

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.

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