Danny Dvir

17.7k citations
236 papers · 6.2k indexed · h-index 44

Danny Dvir

224 papers receiving 6.1k citations

Peers

Danny Dvir
Comparison fields: 5 of 103
  • Cardiology and Cardiovascular Medicine 5.8k
  • Epidemiology 4.2k
  • Pulmonary and Respiratory Medicine 2.1k
  • Radiology, Nuclear Medicine and Imaging 1.1k
  • Surgery 1.6k
Replace Sabine Bleiziffer with:
Sabine Bleiziffer Germany
Vasilis Babaliaros United States
Olaf Wendler United Kingdom
Francesco Bedogni Italy
Hélène Eltchaninoff France
Dominique Himbert France
Christopher McLeod United Kingdom
Fabien Praz Switzerland
Anson Cheung Canada
Alain Cribier France
Danny Dvir relative to Sabine Bleiziffer Germany Sabine Bleiziffer's profile →
Citations per field
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Citations per year

Countries citing papers authored by Danny Dvir

Since Specialization
Citations

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

Fields of papers citing papers by Danny Dvir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Danny Dvir, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Danny Dvir Line = papers co-authored together Danny Dvir links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 202210
3 20225
4 202220
5 20216
6 20205
7 20206
8 201921
9 2018150
10 201819
11 20181
12 2015150
13 201580
14 201464
15 20143
16 20143
17 20142
18 20133
19 20121
20
The role of 16-slice computed tomography angiography in the diagnosis of coronary artery disease: large sample analysis.
20059

About Danny Dvir

Danny Dvir is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 236 papers that have together received 6.2k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (193 papers), Infective Endocarditis Diagnosis and Management (133 papers), Aortic Disease and Treatment Approaches (58 papers), Coronary Interventions and Diagnostics (55 papers), Cardiac Imaging and Diagnostics (45 papers), Cardiovascular Function and Risk Factors (33 papers), Cardiac Structural Anomalies and Repair (14 papers) and Cardiac Arrhythmias and Treatments (12 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (5.8k citations), Epidemiology (4.2k citations), Pulmonary and Respiratory Medicine (2.1k citations), Radiology, Nuclear Medicine and Imaging (1.1k citations) and Surgery (1.6k citations). Danny Dvir has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include John G. Webb, Jonathon Leipsic, Philipp Blanke, Ran Kornowski, David Wood, Augusto D. Pichard, Anson Cheung, Lowell F. Satler, Ron Waksman and Jian Ye. Their work appears in journals such as Journal of the American College of Cardiology, The American Journal of Cardiology, JACC: Cardiovascular Interventions, EuroIntervention and Catheterization and Cardiovascular Interventions.

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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2026