Pier D. Lambiase

20.7k total citations · 1 hit paper
370 papers, 7.8k citations indexed

About

Pier D. Lambiase is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Surgery. According to data from OpenAlex, Pier D. Lambiase has authored 370 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 335 papers in Cardiology and Cardiovascular Medicine, 40 papers in Molecular Biology and 36 papers in Surgery. Recurrent topics in Pier D. Lambiase's work include Cardiac Arrhythmias and Treatments (195 papers), Cardiac electrophysiology and arrhythmias (190 papers) and Cardiac pacing and defibrillation studies (141 papers). Pier D. Lambiase is often cited by papers focused on Cardiac Arrhythmias and Treatments (195 papers), Cardiac electrophysiology and arrhythmias (190 papers) and Cardiac pacing and defibrillation studies (141 papers). Pier D. Lambiase collaborates with scholars based in United Kingdom, United States and Italy. Pier D. Lambiase's co-authors include Martin Löwe, William J. McKenna, Rui Providência, Anthony W. Chow, Michele Orini, Lucas V.A. Boersma, Perry Elliott, Dominic A.M.J. Theuns, Neil T. Srinivasan and Reinoud E. Knops and has published in prestigious journals such as JAMA, Circulation and Nature Communications.

In The Last Decade

Pier D. Lambiase

340 papers receiving 7.6k citations

Hit Papers

Safety and Efficacy of the Totally Subcutaneous Implantab... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pier D. Lambiase United Kingdom 46 6.7k 1.0k 687 485 418 370 7.8k
Philippe Mabo France 40 8.1k 1.2× 1.1k 1.1× 1.1k 1.7× 561 1.2× 382 0.9× 240 8.8k
James E. Ip United States 32 7.6k 1.1× 519 0.5× 1.2k 1.7× 566 1.2× 310 0.7× 189 8.9k
Arshad Jahangir United States 43 3.8k 0.6× 1.5k 1.5× 686 1.0× 521 1.1× 397 0.9× 136 5.9k
Nicholas S. Peters United Kingdom 47 7.2k 1.1× 2.3k 2.3× 754 1.1× 865 1.8× 270 0.6× 302 9.1k
Joris R. de Groot Netherlands 40 5.2k 0.8× 938 0.9× 507 0.7× 285 0.6× 665 1.6× 219 5.8k
Rik Willems Belgium 38 4.5k 0.7× 511 0.5× 594 0.9× 577 1.2× 298 0.7× 277 5.3k
Samir Saba United States 39 6.4k 0.9× 333 0.3× 937 1.4× 708 1.5× 413 1.0× 338 7.1k
Kalyanam Shivkumar United States 56 10.3k 1.5× 1.1k 1.1× 1.3k 1.9× 1.1k 2.2× 360 0.9× 404 12.2k
Carlo Pappone Italy 47 12.0k 1.8× 1.7k 1.7× 895 1.3× 509 1.0× 157 0.4× 245 13.0k
Josef Kautzner Czechia 52 10.9k 1.6× 582 0.6× 1.3k 2.0× 653 1.3× 494 1.2× 384 12.4k

Countries citing papers authored by Pier D. Lambiase

Since Specialization
Citations

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

Fields of papers citing papers by Pier D. Lambiase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pier D. Lambiase. 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 Pier D. Lambiase. The network helps show where Pier D. Lambiase may publish in the future.

Co-authorship network of co-authors of Pier D. Lambiase

This figure shows the co-authorship network connecting the top 25 collaborators of Pier D. Lambiase. A scholar is included among the top collaborators of Pier D. Lambiase 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 Pier D. Lambiase. Pier D. Lambiase 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.
Hesselkilde, Eva Melis, Arnela Saljic, Stefan M. Sattler, et al.. (2025). Machine learning approach for automated localization of ventricular tachycardia ablation targets from substrate maps: development and validation in a porcine model. European Heart Journal - Digital Health. 6(4). 645–655.
3.
Chow, Anthony, et al.. (2024). Image Integration of 3-Dimensional Computed Tomography Papillary Muscle Model to Support Ablation of Papillary Muscle Arrhythmias. JACC. Clinical electrophysiology. 11(2). 436–440. 1 indexed citations
4.
Shiwani, Hunain, Konstantinos Savvatis, George Joy, et al.. (2024). Mitral Annulus Disjunction: A Comprehensive Cardiovascular Magnetic Resonance Phenotype and Clinical Outcomes Study. Journal of Magnetic Resonance Imaging. 61(3). 1368–1375. 1 indexed citations
6.
Harvie, Heidi S., Richard J. Schilling, Anthony Chow, et al.. (2024). A nonphysician, outpatient implantable loop recorder explant service is safe and cost-effective: The OLÉ Audit. Heart Rhythm. 21(11). 2344–2345. 1 indexed citations
7.
Ramírez, Julia, Stefan van Duijvenboden, Michele Orini, et al.. (2024). Prediction of atrial and ventricular arrhythmias using multiple cardiovascular risk-factor polygenic risk scores. Heart Rhythm. 22(9). 2361–2371. 2 indexed citations
8.
Lambiase, Pier D., et al.. (2023). Current and novel percutaneous epicardial access techniques for electrophysiological interventions: A comparison of procedural success and safety. Journal of Cardiovascular Electrophysiology. 34(11). 2330–2341. 2 indexed citations
9.
Sulke, Neil, Stephen Furniss, Anura Malaweera, et al.. (2023). A randomized comparison of retrograde left‐sided versus anterograde right‐sided ablation of the atrioventricular junction. Clinical Cardiology. 46(7). 785–793. 2 indexed citations
10.
Chen, Yang, Myura Nagendran, Yakup Kilic, et al.. (2021). The diagnostic certainty levels of junior clinicians: A retrospective cohort study. Health Information Management Journal. 51(3). 118–125. 2 indexed citations
11.
Creta, António, Rui Providência, Pedro Adragão, et al.. (2019). Impact of Type-2 Diabetes Mellitus on the Outcomes of Catheter Ablation of Atrial Fibrillation (European Observational Multicentre Study). The American Journal of Cardiology. 125(6). 901–906. 41 indexed citations
12.
Duijvenboden, Stefan van, Ben Hanson, Nick Child, et al.. (2019). Pulse Arrival Time and Pulse Interval as Accurate Markers to Detect Mechanical Alternans. Annals of Biomedical Engineering. 47(5). 1291–1299. 5 indexed citations
13.
Schilling, Richard J., et al.. (2018). Subcutaneous implantable defibrillator in dextrocardia secondary to Lobectomy. Clinical Case Reports. 6(9). 1727–1729. 2 indexed citations
14.
Cannie, Douglas, Adam Graham, Anthony W. Chow, et al.. (2018). Anticoagulation and the risk of complications in ventricular tachycardia and premature ventricular complex ablation. Pacing and Clinical Electrophysiology. 41(11). 1454–1460. 2 indexed citations
16.
Lambiase, Pier D., et al.. (2010). High-density substrate mapping in Brugada syndrome: combined role of conduction and repolarization heterogeneities in arrhythmogenesis.Letter response,. UCL Discovery (University College London).
17.
Lambiase, Pier D., et al.. (2010). Predictors of recurrence following radiofrequency ablation for persistent atrial fibrillation. EP Europace. 13(3). 355–361. 98 indexed citations
18.
Lambiase, Pier D., Ayesha Ahmed, Edward J. Ciaccio, et al.. (2009). High-Density Substrate Mapping in Brugada Syndrome. Circulation. 120(2). 106–117. 122 indexed citations
19.
Elliott, Perry, et al.. (2008). Heart Rhythm UK Familial Sudden Death Syndromes Statement Development Group. Clinical indications for genetic testing in familial sudden cardiac death syndromes: an HRUK position statement.. UCL Discovery (University College London). 1 indexed citations
20.
Sermesant, Maxime, Kawal Rhode, Shreya Hegde, et al.. (2004). Electromechanical Modelling of the Myocardium using XMR Interventional Imaging. Journal of Cardiovascular Magnetic Resonance. 6(1). 1 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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