Adaya Weissler‐Snir

741 citations
29 papers · 461 indexed · h-index 11

Adaya Weissler‐Snir

27 papers receiving 446 citations

Peers

Adaya Weissler‐Snir
Comparison fields: 5 of 45
  • Cardiology and Cardiovascular Medicine 434
  • Developmental Neuroscience 20
  • Internal Medicine 13
  • Epidemiology 69
  • Radiology, Nuclear Medicine and Imaging 39
Replace Nesan Shanmugam with:
Nesan Shanmugam United Kingdom
Javier Arce United States
Waseem Hindieh Canada
Nikolaos Spinthakis United Kingdom
Dirk van Osch Netherlands
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Citations per year

Countries citing papers authored by Adaya Weissler‐Snir

Since Specialization
Citations

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

Fields of papers citing papers by Adaya Weissler‐Snir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adaya Weissler‐Snir. 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 Adaya Weissler‐Snir. The network helps show where Adaya Weissler‐Snir may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 20227
4 20210
5 20211
6 202019
7 20193
8 201979
9 201921
10 201739
11 201636
12 201617
13 201617
14
The Impact of Transcatheter Aortic Valve Implantation on Mitral Regurgitation Regression in High-Risk Patients with Aortic Stenosis.
20153
15 20157
16 20153
17 20156
18 20155
19 20147
20 20141

About Adaya Weissler‐Snir

Adaya Weissler‐Snir is a scholar working on Cardiology and Cardiovascular Medicine, Developmental Neuroscience and Internal Medicine, having authored 29 papers that have together received 461 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (17 papers), Cardiovascular Effects of Exercise (12 papers), Cardiovascular Function and Risk Factors (8 papers), Cardiac Arrhythmias and Treatments (6 papers), Cardiac pacing and defibrillation studies (4 papers), Cardiac Valve Diseases and Treatments (4 papers), Acute Myocardial Infarction Research (4 papers) and Cardiac electrophysiology and arrhythmias (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (434 citations), Developmental Neuroscience (20 citations) and Internal Medicine (13 citations). Adaya Weissler‐Snir has collaborated with scholars based in Canada, Israel and United States. Frequent co-authors include Harry Rakowski, Arnon Adler, Waseem Hindieh, Raymond H. Chan, Danna Spears, Dana Fourey, Michael H. Gollob, Paul Dorian, Melanie Care and Kristopher S. Cunningham. Their work appears in journals such as The American Journal of Cardiology, Circulation Cardiovascular Imaging, Journal of the American Heart Association, European Heart Journal and Coronary Artery Disease.

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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