Leor Perl

2.0k total citations
103 papers, 824 citations indexed

About

Leor Perl is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Epidemiology. According to data from OpenAlex, Leor Perl has authored 103 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Cardiology and Cardiovascular Medicine, 38 papers in Surgery and 19 papers in Epidemiology. Recurrent topics in Leor Perl's work include Acute Myocardial Infarction Research (34 papers), Cardiac Valve Diseases and Treatments (24 papers) and Coronary Interventions and Diagnostics (21 papers). Leor Perl is often cited by papers focused on Acute Myocardial Infarction Research (34 papers), Cardiac Valve Diseases and Treatments (24 papers) and Coronary Interventions and Diagnostics (21 papers). Leor Perl collaborates with scholars based in Israel, United States and Italy. Leor Perl's co-authors include Ran Kornowski, William T. Abraham, Eli I. Lev, Hana Vaknin‐Assa, Galia Spectre, Tamir Bental, Pablo Codner, Eldad Rechavia, Dorit Leshem‐Lev and Noa Zemer‐Wassercug and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Leor Perl

85 papers receiving 807 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Leor Perl Israel 15 557 259 141 136 126 103 824
Marek Grygier Poland 16 777 1.4× 308 1.2× 224 1.6× 183 1.3× 118 0.9× 162 1.0k
Ioannis Mastoris United States 11 441 0.8× 297 1.1× 78 0.6× 91 0.7× 64 0.5× 41 630
Batric Popovic France 16 352 0.6× 193 0.7× 81 0.6× 74 0.5× 51 0.4× 49 589
Pekka Porela Finland 20 1.0k 1.9× 343 1.3× 142 1.0× 98 0.7× 143 1.1× 41 1.3k
Carlo Marcucci Switzerland 16 361 0.6× 371 1.4× 173 1.2× 192 1.4× 51 0.4× 57 793
Hirad Yarmohammadi United States 16 775 1.4× 147 0.6× 73 0.5× 42 0.3× 47 0.4× 78 1.0k
Mauro Chiarito Italy 19 782 1.4× 461 1.8× 198 1.4× 163 1.2× 93 0.7× 90 972
Hisao Hara Japan 14 236 0.4× 264 1.0× 76 0.5× 139 1.0× 25 0.2× 84 780
Mehmet Doğan Türkiye 18 458 0.8× 224 0.9× 130 0.9× 88 0.6× 67 0.5× 66 732
İrfan Şahin Türkiye 16 346 0.6× 145 0.6× 126 0.9× 61 0.4× 61 0.5× 71 733

Countries citing papers authored by Leor Perl

Since Specialization
Citations

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

Fields of papers citing papers by Leor Perl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leor Perl

This figure shows the co-authorship network connecting the top 25 collaborators of Leor Perl. A scholar is included among the top collaborators of Leor Perl 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 Leor Perl. Leor Perl 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
1.
Perl, Leor, et al.. (2025). Risk stratification for repeat stone surgery: the role of stone composition. World Journal of Urology. 43(1). 203–203.
2.
Konikoff, Tom, Henit Yanai, Uri Kopylov, et al.. (2024). Precision medicine: Externally validated explainable AI support tool for predicting sustainability of infliximab and vedolizumab in ulcerative colitis. Digestive and Liver Disease. 56(12). 2069–2076.
3.
Konikoff, Tom, Ariel A. Benson, Rachel Gingold‐Belfer, et al.. (2024). Enhancing detection of various pancreatic lesions on endoscopic ultrasound through artificial intelligence: a basis for computer‐aided detection systems. Journal of Gastroenterology and Hepatology. 40(1). 235–240. 5 indexed citations
4.
Bental, Tamir, Hana Vaknin‐Assa, Yeela Talmor‐Barkan, et al.. (2023). The independent impact of dementia in patients undergoing percutaneous coronary intervention for acute myocardial infarction. Clinical Cardiology. 46(3). 279–286. 3 indexed citations
5.
Herman, Robert, Vladimír Boža, Michael A. Herman, et al.. (2023). Validation of an artificial intelligence model for 12-lead ECG interpretation. European Heart Journal. 44(Supplement_2). 1 indexed citations
6.
Vaknin‐Assa, Hana, Lars Søndergaard, Horst Sievert, et al.. (2023). Transcatheter Interventions for Atrioventricular Dysfunction in Patients with Adult Congenital Heart Disease: An International Case Series. Journal of Clinical Medicine. 12(2). 521–521. 2 indexed citations
7.
Herman, Robert, Anthony Demolder, Vladimír Boža, et al.. (2023). Abstract 17037: Validation of Deep Learning System for Comprehensive 12-Lead ECG Interpretation. Circulation. 148(Suppl_1).
8.
Herman, Robert, H. Pendell Meyers, Stephen W. Smith, et al.. (2023). Abstract 17298: Deep Learning Electrocardiogram Detecting Acute Coronary Occlusion in Myocardial Infarction Presenting Without ST-Elevation. Circulation. 148(Suppl_1).
9.
Aviram, I., Hana Vaknin‐Assa, Leor Perl, et al.. (2023). Acute ischemic stroke complicating tavi. predictors, outcomes, and treatment associated outcomes. European Heart Journal. 44(Supplement_2). 1 indexed citations
10.
Herman, Robert, H. Pendell Meyers, Stephen W. Smith, et al.. (2023). ECG-based deep learning for detecting epicardial coronary occlusion in acute myocardial infarction. European Heart Journal. 44(Supplement_2).
12.
13.
Agmon, Inbar Nardi, Leor Perl, Tamir Bental, et al.. (2021). Temporal trends in short and long-term outcomes after percutaneous coronary interventions among cancer patients. Heart and Vessels. 36(9). 1283–1289. 6 indexed citations
14.
Codner, Pablo, Hana Vaknin‐Assa, Guy Witberg, et al.. (2020). Long Term Outcomes of Patients Treated With Transcatheter Aortic Valve Implantation. The American Journal of Cardiology. 141. 72–78. 4 indexed citations
16.
D’Ascenzo, Fabrizio, Stefano Salizzoni, Andrea Saglietto, et al.. (2019). Incidence, predictors and cerebrovascular consequences of leaflet thrombosis after transcatheter aortic valve implantation: a systematic review and meta-analysis. European Journal of Cardio-Thoracic Surgery. 56(3). 488–494. 44 indexed citations
17.
Bertaina, Maurizio, Alessandro Galluzzo, Fabrizio D’Ascenzo, et al.. (2019). Prognostic impact of MitraClip in patients with left ventricular dysfunction and functional mitral valve regurgitation: A comprehensive meta-analysis of RCTs and adjusted observational studies. International Journal of Cardiology. 290. 70–76. 7 indexed citations
18.
Abraham, William T. & Leor Perl. (2017). Implantable Hemodynamic Monitoring for Heart Failure Patients. Journal of the American College of Cardiology. 70(3). 389–398. 90 indexed citations
19.
Perl, Leor, Mordehay Vaturi, Abid Assali, et al.. (2015). The Impact of Transcatheter Aortic Valve Implantation on Mitral Regurgitation Regression in High-Risk Patients with Aortic Stenosis.. PubMed. 24(4). 439–44. 3 indexed citations
20.
Perl, Leor, Eldad Rechavia, Muthiah Vaduganathan, et al.. (2013). Response to Prasugrel and Levels of Circulating Reticulated Platelets in Patients With ST-Segment Elevation Myocardial Infarction. Journal of the American College of Cardiology. 63(6). 513–517. 72 indexed citations

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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