Saar Danon

493 citations
23 papers · 353 · h-index 11

Impact in

Papers in

Saar Danon

23 papers receiving 336 citations

Peers

Saar Danon
Comparison fields: 5 of 51
  • Cardiology and Cardiovascular Medicine 122
  • Epidemiology 171
  • Pulmonary and Respiratory Medicine 140
  • Surgery 106
  • Radiology, Nuclear Medicine and Imaging 26
Replace Krishna Subramony Iyer with:
Krishna Subramony Iyer India
Saleha Kabir United Kingdom
Lars Nölke Ireland
Ireneusz Haponiuk Poland
Naoto Fukunaga Japan
Hellmuth Weich South Africa
Nicola Maschietto Italy
T Langanay France
Young‐Hwue Kim South Korea
Jean Paul Bessou France
Saar Danon relative to Krishna Subramony Iyer India Krishna Subramony Iyer's profile →
Citations per field
00.5×2.6×
Krishna Subramony Iyer · 1×
Citations per year

Countries citing papers authored by Saar Danon

Since Specialization
Citations

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

Fields of papers citing papers by Saar Danon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Saar Danon, 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 Saar Danon Line = papers co-authored together Saar Danon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200651
2 200943
3 201830
4 200529
5 201729
6 201528
7 201427
8 200922
9 200717
10 201616
11 201611
12 200810
13 20179
14 20209
15 20175
16 20145
17 20233
18 20133
19 20132
20
"Wire-target" technique for precise vascular access.
20091

About Saar Danon

Saar Danon is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Pulmonary and Respiratory Medicine, Surgery and Infectious Diseases, having authored 23 papers that have together received 353 indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (7 papers), Viral Infections and Immunology Research (5 papers), Coronary Artery Anomalies (3 papers), Coronary Interventions and Diagnostics (2 papers), Cardiovascular and Diving-Related Complications (2 papers), Cardiac Valve Diseases and Treatments (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Cardiac Arrhythmias and Treatments (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (122 citations), Epidemiology (171 citations), Pulmonary and Respiratory Medicine (140 citations), Surgery (106 citations) and Radiology, Nuclear Medicine and Imaging (26 citations). Saar Danon has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Daniel S. Levi, John W. Moore, Jeffrey W. Delaney, Juan Alejos, Charles B. Huddleston, Andrew C. Fiore, Brent M. Gordon, Saadeh B. Jureidini, Eric S. Armbrecht and Alexander A. Brescia. Their work appears in journals such as Catheterization and Cardiovascular Interventions, Journal of the American College of Cardiology, Congenital Heart Disease, Circulation Cardiovascular Interventions and JACC: 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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