Carlos Collet

7.4k total citations · 1 hit paper
171 papers, 2.3k citations indexed

About

Carlos Collet is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Carlos Collet has authored 171 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 137 papers in Surgery, 120 papers in Radiology, Nuclear Medicine and Imaging and 108 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Carlos Collet's work include Coronary Interventions and Diagnostics (127 papers), Cardiac Imaging and Diagnostics (118 papers) and Acute Myocardial Infarction Research (35 papers). Carlos Collet is often cited by papers focused on Coronary Interventions and Diagnostics (127 papers), Cardiac Imaging and Diagnostics (118 papers) and Acute Myocardial Infarction Research (35 papers). Carlos Collet collaborates with scholars based in Belgium, Netherlands and Italy. Carlos Collet's co-authors include Yoshinobu Onuma, Patrick W. Serruys, Bernard De Bruyne, Jeroen Sonck, Erhan Tenekecioğlu, Takuya Mizukami, Emanuele Barbato, Yohei Sotomi, Emanuele Gallinoro and Alessandro Candreva and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Circulation Research.

In The Last Decade

Carlos Collet

162 papers receiving 2.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Prevalence of Coronary Microvascular Disease and Coronary Vasospasm in Patients With Nonobstructive Coronary Artery Disease: Systematic Review and Meta-Analysis

2022 106 citations Niya Mileva, Sakura Nagumo et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Carlos Collet Belgium	24	1.7k	1.5k	1.4k	393	266	171	2.3k
Sayan Sen United Kingdom	26	1.6k 1.0×	1.5k 1.0×	1.4k 1.0×	367 0.9×	228 0.9×	92	2.3k
Ricardo Petraco United Kingdom	27	1.6k 0.9×	1.6k 1.1×	1.4k 1.0×	460 1.2×	178 0.7×	78	2.4k
Roberto Diletti Netherlands	31	2.3k 1.3×	1.8k 1.2×	1.2k 0.8×	788 2.0×	218 0.8×	177	2.7k
Yohei Sotomi Japan	28	2.0k 1.2×	1.8k 1.2×	703 0.5×	749 1.9×	212 0.8×	166	2.8k
Sukhjinder Nijjer United Kingdom	23	1.4k 0.8×	1.1k 0.8×	1.1k 0.8×	307 0.8×	131 0.5×	86	1.8k
Peter Barlis Australia	29	2.1k 1.2×	1.2k 0.8×	1.1k 0.7×	868 2.2×	513 1.9×	108	2.6k
Sophia Vaina Greece	18	2.1k 1.2×	1.8k 1.2×	793 0.6×	588 1.5×	202 0.8×	50	2.7k
Carl E. Schotborgh Netherlands	23	1.6k 1.0×	1.6k 1.1×	970 0.7×	244 0.6×	82 0.3×	59	2.1k
Josep Gómez‐Lara Spain	24	1.6k 0.9×	1.1k 0.8×	738 0.5×	615 1.6×	174 0.7×	119	1.9k
Marcus Wiemer Germany	22	1.5k 0.9×	1.4k 1.0×	583 0.4×	594 1.5×	163 0.6×	101	2.2k

Countries citing papers authored by Carlos Collet

Since Specialization

Citations

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

Fields of papers citing papers by Carlos Collet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlos Collet

This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Collet. A scholar is included among the top collaborators of Carlos Collet 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 Carlos Collet. Carlos Collet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Mahendiran, Thabo, Dario Tino Bertolone, Michele Mattia Viscusi, et al.. (2024). The Influence of Epicardial Resistance on Microvascular Resistance Reserve. Journal of the American College of Cardiology. 84(6). 512–521. 19 indexed citations

Shin, Doosup, Keyvan Karimi Galougahi, James Spratt, et al.. (2024). Calcified Nodule in Percutaneous Coronary Intervention. JACC: Cardiovascular Interventions. 17(10). 1187–1199. 18 indexed citations

Mahendiran, Thabo, Dario Tino Bertolone, Nico H.J. Pijls, et al.. (2024). The influence of epicardial resistance on Microvascular Resistance Reserve (MRR). European Heart Journal. 45(Supplement_1). 1 indexed citations

Munhoz, Daniel, Carlos Collet, Takuya Mizukami, et al.. (2024). Influence of pathophysiological patterns of coronary artery disease on the safety and efficacy of percutaneous coronary intervention. European Heart Journal. 45(Supplement_1). 1 indexed citations

Sakai, Koshiro, Takuya Mizukami, Hirofumi Ohashi, et al.. (2024). Impact of vessel volume on thermodilution measurements in patients with coronary microvascular dysfunction. Catheterization and Cardiovascular Interventions. 103(6). 885–896. 2 indexed citations

Ohashi, Hirofumi, Takuya Mizukami, Jeroen Sonck, et al.. (2024). Intravascular Imaging Findings After PCI in Patients With Focal and Diffuse Coronary Artery Disease. Journal of the American Heart Association. 13(5). e032605–e032605. 4 indexed citations

Velzen, Sanne G. M. van, et al.. (2024). Deep learning-based prediction of fractional flow reserve after invasive coronary artery treatment. Pure Amsterdam UMC. 11596. 12–12. 1 indexed citations

Viscusi, Michele Mattia, Konstantinos Bermpeis, Thabo Mahendiran, et al.. (2024). Impact of Robotic Percutaneous Coronary Intervention (R‐PCI) With and Without CCTA‐Guidance on Clinical Outcomes and Hospital Economics: A Single Center Registry. Catheterization and Cardiovascular Interventions. 105(2). 426–434.

Wyffels, Eric, Tom De Potter, Guy Van Camp, et al.. (2023). Same Day Discharge Strategy by Default in a Tertiary Catheterization Laboratory in Belgium: Value Based Healthcare-Change in Practice. Health Policy. 132. 104826–104826. 4 indexed citations

10.

Poletti, Enrico, et al.. (2023). Coronary CT-Guided Minimalistic Hybrid Approach for Percutaneous Chronic Total Occlusion Recanalization. JACC: Cardiovascular Interventions. 16(9). 1107–1108. 8 indexed citations

11.

Belmonte, Marta, Martin Pěnička, Lieven Van Hoe, et al.. (2023). Impact of coronary CT image quality on the accuracy of the FFRCT Planner. European Radiology. 34(4). 2677–2688. 6 indexed citations

12.

Gallinoro, Emanuele, Pasquale Paolisso, Giuseppe Di Gioia, et al.. (2022). Deferral of Coronary Revascularization in Patients With Reduced Ejection Fraction Based on Physiological Assessment: Impact on Long‐Term Survival. Journal of the American Heart Association. 11(19). e026656–e026656. 2 indexed citations

13.

Bermpeis, Konstantinos, Giuseppe Esposito, Emanuele Gallinoro, et al.. (2022). Safety of Right and Left Ventricular Endomyocardial Biopsy in Heart Transplantation and Cardiomyopathy Patients. JACC Heart Failure. 10(12). 963–973. 19 indexed citations

14.

Paolisso, Pasquale, Emanuele Gallinoro, Daniele Andreini, et al.. (2022). Prospective evaluation of the learning curve and diagnostic accuracy for Pre-TAVI cardiac computed tomography analysis by cardiologists in training: The LEARN-CT study. Journal of cardiovascular computed tomography. 16(5). 404–411. 6 indexed citations

15.

Bertolone, Dario Tino, Konstantinos Bermpeis, Emanuele Gallinoro, et al.. (2022). First report of totally robotically assisted hybrid coronary artery revascularization combining RE‐MIDCAB and R‐PCI: Case report. Journal of Cardiac Surgery. 37(9). 2907–2911. 2 indexed citations

16.

Mizukami, Takuya, Jeroen Sonck, Koshiro Sakai, et al.. (2022). Procedural Outcomes After Percutaneous Coronary Interventions in Focal and Diffuse Coronary Artery Disease. Journal of the American Heart Association. 11(23). 21 indexed citations

17.

Paolisso, Pasquale, Emanuele Gallinoro, Niya Mileva, et al.. (2021). Performance of Non-Invasive Myocardial Work to Predict the First Hospitalization for De Novo Heart Failure with Preserved Ejection Fraction. ESC Heart Failure. 9(1). 373–384. 12 indexed citations

18.

Gioia, Giuseppe Di, Danilo Franco, Iginio Colaiori, et al.. (2020). Coronary Artery Bypass Grafting or Fractional Flow Reserve–Guided Percutaneous Coronary Intervention in Diabetic Patients With Multivessel Disease. Circulation Cardiovascular Interventions. 13(10). e009157–e009157. 7 indexed citations

19.

Fournier, Stéphane, Carlos Collet, Panagiotis Xaplanteris, et al.. (2020). Global Fractional Flow Reserve Value Predicts 5‐Year Outcomes in Patients With Coronary Atherosclerosis But Without Ischemia. Journal of the American Heart Association. 9(24). e017729–e017729. 7 indexed citations

20.

Tijssen, R., Robin P. Kraak, Joëlle Elias, et al.. (2018). Implantation techniques (predilatation, sizing, and post-dilatation) and the incidence of scaffold thrombosis and revascularisation in lesions treated with an everolimus-eluting bioresorbable vascular scaffold: insights from the AIDA trial. EuroIntervention. 14(4). e434–e442. 11 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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