A. M. Beek

1.1k total citations
29 papers, 749 citations indexed

About

A. M. Beek is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, A. M. Beek has authored 29 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cardiology and Cardiovascular Medicine, 17 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Surgery. Recurrent topics in A. M. Beek's work include Cardiac Imaging and Diagnostics (16 papers), Advanced MRI Techniques and Applications (14 papers) and Cardiovascular Function and Risk Factors (9 papers). A. M. Beek is often cited by papers focused on Cardiac Imaging and Diagnostics (16 papers), Advanced MRI Techniques and Applications (14 papers) and Cardiovascular Function and Risk Factors (9 papers). A. M. Beek collaborates with scholars based in Netherlands, United States and Egypt. A. M. Beek's co-authors include Albert C. van Rossum, Robin Nijveldt, Stefan de Haan, Paul Knaapen, Cornelis P. Allaart, Jos W. R. Twisk, T Meijers, Sebastiaan A. Kleijn, M. F. A. Aly and Otto Kamp and has published in prestigious journals such as European Heart Journal, Heart and Canadian Medical Association Journal.

In The Last Decade

A. M. Beek

29 papers receiving 728 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. M. Beek Netherlands 14 575 420 147 49 44 29 749
A Travaglini United States 9 530 0.9× 258 0.6× 118 0.8× 83 1.7× 99 2.3× 16 636
Hoshang Farhad United States 13 606 1.1× 460 1.1× 95 0.6× 119 2.4× 39 0.9× 19 905
Carmen Chan China 10 962 1.7× 907 2.2× 144 1.0× 58 1.2× 102 2.3× 12 1.3k
Ertan Ökmen Türkiye 14 368 0.6× 79 0.2× 150 1.0× 73 1.5× 11 0.3× 43 463
Milorad Tešić Serbia 13 356 0.6× 184 0.4× 185 1.3× 58 1.2× 20 0.5× 65 525
Tim Sueselbeck Germany 17 623 1.1× 317 0.8× 275 1.9× 88 1.8× 86 2.0× 30 881
D. Agostini France 7 474 0.8× 364 0.9× 100 0.7× 38 0.8× 27 0.6× 15 636
Steve Furniss United Kingdom 14 992 1.7× 167 0.4× 121 0.8× 40 0.8× 21 0.5× 38 1.1k
Roberta Assante Italy 19 398 0.7× 674 1.6× 203 1.4× 35 0.7× 218 5.0× 82 969
Takahisa Uchiyama Japan 14 323 0.6× 323 0.8× 202 1.4× 107 2.2× 123 2.8× 36 609

Countries citing papers authored by A. M. Beek

Since Specialization
Citations

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

Fields of papers citing papers by A. M. Beek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. M. Beek. 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 A. M. Beek. The network helps show where A. M. Beek may publish in the future.

Co-authorship network of co-authors of A. M. Beek

This figure shows the co-authorship network connecting the top 25 collaborators of A. M. Beek. A scholar is included among the top collaborators of A. M. Beek 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 A. M. Beek. A. M. Beek 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
3.
Rijnierse, Mischa T., Cornelis P. Allaart, Stefan de Haan, et al.. (2015). Sympathetic denervation is associated with microvascular dysfunction in non-infarcted myocardium in patients with cardiomyopathy. European Heart Journal - Cardiovascular Imaging. 16(7). 788–798. 14 indexed citations
4.
Haan, Stefan de, Karin Boer, Jacques J.F. Commandeur, et al.. (2014). Assessment of left ventricular ejection fraction in patients eligible for ICD therapy: Discrepancy between cardiac magnetic resonance imaging and 2D echocardiography. Netherlands Heart Journal. 22(10). 449–455. 27 indexed citations
6.
Robbers, Lourens, Ronak Delewi, Robin Nijveldt, et al.. (2013). Myocardial infarct heterogeneity assessment by late gadolinium enhancement cardiovascular magnetic resonance imaging shows predictive value for ventricular arrhythmia development after acute myocardial infarction. European Heart Journal - Cardiovascular Imaging. 14(12). 1150–1158. 34 indexed citations
7.
Beek, M.H.C.T. van, Richard C. Oude Voshaar, A. M. Beek, et al.. (2013). A BRIEF COGNITIVE-BEHAVIORAL INTERVENTION FOR TREATING DEPRESSION AND PANIC DISORDER IN PATIENTS WITH NONCARDIAC CHEST PAIN: A 24-WEEK RANDOMIZED CONTROLLED TRIAL. Depression and Anxiety. 30(7). 670–678. 34 indexed citations
8.
Kleijn, Sebastiaan A., Wessel P. Brouwer, M. F. A. Aly, et al.. (2012). Comparison between three-dimensional speckle-tracking echocardiography and cardiac magnetic resonance imaging for quantification of left ventricular volumes and function. European Heart Journal - Cardiovascular Imaging. 13(10). 834–839. 89 indexed citations
9.
Robbers, Lourens, Ronak Delewi, Robin Nijveldt, et al.. (2011). Intracoronary infusion of mononuclear stem cells after acute revascularized myocardial infarction is not associated with increased prevalence of late ventricular arrhythmias. European Heart Journal. 32. 735–735. 1 indexed citations
10.
Beek, A. M., et al.. (2011). Double orifice mitral valve visualized on echocardiography and MRI. Netherlands Heart Journal. 20(9). 380–381. 3 indexed citations
11.
Nollen, Gijs J., et al.. (2011). Quadricuspid pulmonary valve and left pulmonary artery aneurysm in an asymptomatic patient assessed by cardiovascular MRI. Netherlands Heart Journal. 21(4). 196–198. 8 indexed citations
12.
Beek, A. M., et al.. (2010). Towards a noninvasive anatomical and functional diagnostic work-up of patients with suspected coronary artery disease. Netherlands Heart Journal. 18(5). 270–273. 3 indexed citations
14.
Haan, Stefan de, Paul Knaapen, A. M. Beek, et al.. (2010). Risk stratification for ventricular arrhythmias in ischaemic cardiomyopathy: the value of non-invasive imaging. EP Europace. 12(4). 468–474. 13 indexed citations
15.
Germans, Tjeerd, et al.. (2010). The role of cardiac magnetic resonance imaging in differentiating the underlying causes of left ventricular hypertrophy. Netherlands Heart Journal. 18(3). 135–143. 6 indexed citations
16.
Beek, A. M., et al.. (2008). Time course of functional recovery after revascularization of hibernating myocardium: a contrast-enhanced cardiovascular magnetic resonance study. European Heart Journal. 29(16). 2000–2005. 43 indexed citations
17.
Nijveldt, Robin, Tjeerd Germans, A. M. Beek, Marco Götte, & Albert C. van Rossum. (2007). Double aortic arch. Netherlands Heart Journal. 15(6). 229–230. 1 indexed citations
18.
Hofman, Mark B.M., et al.. (2007). Feasibility of Cardiovascular Magnetic Resonance of Angiographically Diagnosed Congenital Solitary Coronary Artery Fistulas in Adults. Journal of Cardiovascular Magnetic Resonance. 9(3). 575–583. 10 indexed citations
19.
Beek, A. M., et al.. (2006). Clinical applications of cardiovascular magnetic resonance imaging. Canadian Medical Association Journal. 175(8). 911–917. 68 indexed citations
20.
Dockum, Willem G. van, Joost P.A. Kuijer, Marco Götte, et al.. (2006). Septal ablation in hypertrophic obstructive cardiomyopathy improves systolic myocardial function in the lateral (free) wall: a follow-up study using CMR tissue tagging and 3D strain analysis. European Heart Journal. 27(23). 2833–2839. 38 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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