Angela Ferrara

19 papers receiving 1.1k citations

Hit Papers

Diagnostic Accuracy of Fast Computational Approaches to D...201520262018202220162015100200300

Peers

Angela Ferrara
Comparison fields: 5 of 40
  • Surgery 978
  • Radiology, Nuclear Medicine and Imaging 905
  • Cardiology and Cardiovascular Medicine 771
  • Pulmonary and Respiratory Medicine 154
  • Biomedical Engineering 56
Replace Akitsugu Oida with:
Akitsugu Oida Japan
Joseph Aragon United States
C Cernigliaro Italy
G. Jan Willem Bech Netherlands
Aristotelis Papayannis United States
M Moriuchi Japan
Andrew J. Feiring United States
Satoru Mitomo Italy
Fadi Sawaya Lebanon
Eduard Fernández‐Nofrerías Spain
Angela Ferrara relative to Akitsugu Oida Japan Akitsugu Oida's profile →
Citations per field
00.5×7.3×
Akitsugu Oida · 1×
Citations per year

Countries citing papers authored by Angela Ferrara

Since Specialization
Citations

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

Fields of papers citing papers by Angela Ferrara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angela Ferrara

This figure shows the co-authorship network connecting the top 25 collaborators of Angela Ferrara. A scholar is included among the top collaborators of Angela Ferrara 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 Angela Ferrara. Angela Ferrara 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 55
2 35
3 8
4 1
5
Diagnostic Accuracy of Fast Computational Approaches to Derive Fractional Flow Reserve From Diagnostic Coronary Angiographybreakdown →
388
6 6
7 32
8 1
9 2
10 47
11 94
12 1
13 9
14 12
15 94
16 7
17
Deferral vs. performance of percutaneous coronary intervention of functionally non-significant coronary stenosis: 15-year follow-up of the DEFER trialbreakdown →
305
18 5
19 3

About Angela Ferrara

Angela Ferrara is a scholar working on Radiology, Nuclear Medicine and Imaging, Internal Medicine and Cardiology and Cardiovascular Medicine, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (15 papers), Cardiac Imaging and Diagnostics (14 papers) and Acute Myocardial Infarction Research (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (905 citations), Cardiology and Cardiovascular Medicine (771 citations) and Surgery (978 citations). Angela Ferrara has collaborated with scholars based in Belgium, Italy and Netherlands. Frequent co-authors include Emanuele Barbato, Mariano Pellicano, Bernard De Bruyne, William Wijns, Nils P. Johnson, Julien Adjedj, Gábor G. Tóth, Shengxian Tu, Jelmer Westra and Clemens von Birgelen. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and European 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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