Daniela R. Crousillat

603 total citations
35 papers, 263 citations indexed

About

Daniela R. Crousillat is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daniela R. Crousillat has authored 35 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cardiology and Cardiovascular Medicine, 10 papers in Surgery and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daniela R. Crousillat's work include Cardiovascular Issues in Pregnancy (15 papers), Cardiac Valve Diseases and Treatments (8 papers) and Cardiovascular Function and Risk Factors (6 papers). Daniela R. Crousillat is often cited by papers focused on Cardiovascular Issues in Pregnancy (15 papers), Cardiac Valve Diseases and Treatments (8 papers) and Cardiovascular Function and Risk Factors (6 papers). Daniela R. Crousillat collaborates with scholars based in United States, Australia and Canada. Daniela R. Crousillat's co-authors include Judy Hung, Esther Davis, Nasrien E. Ibrahim, Malissa J. Wood, Michael H. Picard, Mayooran Namasivayam, Jessica L. Churchill, Timothy W. Churchill, Philippe B. Bertrand and Samuel Bernard and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Daniela R. Crousillat

28 papers receiving 260 citations

Peers

Daniela R. Crousillat
Comparison fields: 5 of 38
  • Cardiology and Cardiovascular Medicine 175
  • Surgery 56
  • Pulmonary and Respiratory Medicine 49
  • Critical Care and Intensive Care Medicine 47
  • Epidemiology 47
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Citations per field, relative to Daniela R. Crousillat
Daniela R. Crousillat · 1×
Citations per year, relative to Daniela R. Crousillat
Daniela R. Crousillat · 1×

Countries citing papers authored by Daniela R. Crousillat

Since Specialization
Citations

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

Fields of papers citing papers by Daniela R. Crousillat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela R. Crousillat

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 8
5 0
6 0
7 0
8 2
9 1
10 3
11 3
12 1
13 0
14 1
15 1
16 23
17 46
18 2
19 41
20 15

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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