W.R.M. Aengevaeren

2.3k total citations
58 papers, 1.6k citations indexed

About

W.R.M. Aengevaeren is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, W.R.M. Aengevaeren has authored 58 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cardiology and Cardiovascular Medicine, 30 papers in Surgery and 20 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in W.R.M. Aengevaeren's work include Cardiac Imaging and Diagnostics (20 papers), Coronary Interventions and Diagnostics (16 papers) and Acute Myocardial Infarction Research (13 papers). W.R.M. Aengevaeren is often cited by papers focused on Cardiac Imaging and Diagnostics (20 papers), Coronary Interventions and Diagnostics (16 papers) and Acute Myocardial Infarction Research (13 papers). W.R.M. Aengevaeren collaborates with scholars based in Netherlands, United Kingdom and United States. W.R.M. Aengevaeren's co-authors include G.J.H. Uijen, Tjeerd van der Werf, Abraham A. Kroon, Anton F. H. Stalenhoef, Albert V.G. Bruschke, Johan H. C. Reiber, Freek W.A. Verheugt, Freek W.A. Verheugt, Freek W.A. Verheugt and Marc A. Brouwer and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and European Heart Journal.

In The Last Decade

W.R.M. Aengevaeren

58 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
W.R.M. Aengevaeren Netherlands	22	842	736	359	170	135	58	1.6k
Nobuhiko Joki Japan	25	371 0.4×	374 0.5×	238 0.7×	275 1.6×	126 0.9×	98	1.8k
Kwang Soo South Korea	21	721 0.9×	793 1.1×	263 0.7×	334 2.0×	205 1.5×	171	1.5k
Jannet F. Lewis United States	18	370 0.4×	1.4k 1.9×	406 1.1×	306 1.8×	163 1.2×	27	1.9k
Muneyasu Saito Japan	26	497 0.6×	970 1.3×	327 0.9×	205 1.2×	63 0.5×	90	1.7k
Michael Fritzenwanger Germany	24	529 0.6×	579 0.8×	213 0.6×	142 0.8×	111 0.8×	73	1.6k
Robert J. Burns Canada	21	770 0.9×	1.9k 2.6×	601 1.7×	234 1.4×	71 0.5×	37	2.5k
William B. Hillegass United States	23	994 1.2×	1.0k 1.4×	280 0.8×	647 3.8×	62 0.5×	81	2.2k
Haralambos Karvounis Greece	26	486 0.6×	1.9k 2.6×	330 0.9×	678 4.0×	88 0.7×	186	2.7k
Roger Rennenberg Netherlands	18	306 0.4×	665 0.9×	252 0.7×	637 3.7×	55 0.4×	39	2.1k
Takahiro Hayashi Japan	19	472 0.6×	297 0.4×	157 0.4×	181 1.1×	57 0.4×	101	1.1k

Countries citing papers authored by W.R.M. Aengevaeren

Since Specialization

Citations

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

Fields of papers citing papers by W.R.M. Aengevaeren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W.R.M. Aengevaeren. 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 W.R.M. Aengevaeren. The network helps show where W.R.M. Aengevaeren may publish in the future.

Co-authorship network of co-authors of W.R.M. Aengevaeren

This figure shows the co-authorship network connecting the top 25 collaborators of W.R.M. Aengevaeren. A scholar is included among the top collaborators of W.R.M. Aengevaeren 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 W.R.M. Aengevaeren. W.R.M. Aengevaeren 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

Bakel, Bram M. A. van, Marijn de Bruin, W.R.M. Aengevaeren, et al.. (2024). A cardiac-rehab behaviour intervention to reduce sedentary time in coronary artery disease patients: the SIT LESS randomized controlled trial. International Journal of Behavioral Nutrition and Physical Activity. 21(1). 90–90. 3 indexed citations

Bakel, Bram M. A. van, Esmée A. Bakker, W.R.M. Aengevaeren, et al.. (2023). Effectiveness of an intervention to reduce sedentary behaviour as a personalised secondary prevention strategy for patients with coronary artery disease: main outcomes of the SIT LESS randomised clinical trial. International Journal of Behavioral Nutrition and Physical Activity. 20(1). 17–17. 15 indexed citations

Bakker, Esmée A., Bram M. A. van Bakel, W.R.M. Aengevaeren, et al.. (2020). Sedentary behaviour in cardiovascular disease patients: Risk group identification and the impact of cardiac rehabilitation. International Journal of Cardiology. 326. 194–201. 39 indexed citations

Cramer, G. Etienne, Helmut Gehlmann, W.R.M. Aengevaeren, et al.. (2018). A multi-site coronary sampling study on CRP in non-STEMI: Novel insights into the inflammatory process in acute coronary syndromes. Atherosclerosis. 278. 117–123. 10 indexed citations

El‐Omar, Magdi, Sorin J. Brener, Akiko Maehara, et al.. (2012). TCT-509 Low Overall Rates of Angiographically Visible Distal Embolization in INFUSE-AMI: Possible Explanation for Lack of Efficacy of Manual Aspiration Thrombectomy. Journal of the American College of Cardiology. 60(17). B147–B147. 1 indexed citations

Aidi, Hamza El, et al.. (2010). Pre-Hospital Triage for Primary Angioplasty. JACC: Cardiovascular Interventions. 3(7). 705–711. 48 indexed citations

Hirsch, Alexander, Robin Nijveldt, Pieter A. van der Vleuten, et al.. (2010). Intracoronary infusion of mononuclear cells from bone marrow or peripheral blood compared with standard therapy in patients after acute myocardial infarction treated by primary percutaneous coronary intervention: results of the randomized controlled HEBE trial. European Heart Journal. 32(14). 1736–1747. 162 indexed citations

Kievit, Peter, Marc A. Brouwer, Gerrit Veen, W.R.M. Aengevaeren, & Freek W.A. Verheugt. (2008). The smoker’s paradox after successful fibrinolysis: reduced risk of reocclusion but no improved long-term cardiac outcome. Journal of Thrombosis and Thrombolysis. 27(4). 385–393. 10 indexed citations

Hirsch, Alexander, Robin Nijveldt, Pieter A. van der Vleuten, et al.. (2008). Intracoronary infusion of autologous mononuclear bone marrow cells in patients with acute myocardial infarction treated with primary PCI: Pilot study of the multicenter HEBE trial. Catheterization and Cardiovascular Interventions. 71(3). 273–281. 30 indexed citations

10.

Desmet, Wim, E. Grube, J. Brachmann, et al.. (2004). The 9-month results of the TROPICAL study: A multicenter nonrandomized study of the cypher sirolimus-eluting stent in the treatment of patients with an in-stent restenotic native coronary artery lesion. The American Journal of Cardiology. 94. 2 indexed citations

11.

Sick, Peter, Götz Gelbrich, Uldis Kalnins, et al.. (2004). Comparison of early and late results of a Carbofilm-coated stent versus a pure high-grade stainless steel stent (the Carbostent-Trial). The American Journal of Cardiology. 93(11). 1351–1356. 24 indexed citations

12.

Aengevaeren, W.R.M., G.J.H. Uijen, & Tjeerd van der Werf. (1998). Comparison of coronary flow velocity and regional myocardial perfusion for functional evaluation of coronary artery disease in the setting of angioplasty. Catheterization and Cardiovascular Diagnosis. 45(1). 16–24. 4 indexed citations

13.

Aengevaeren, W.R.M., G.J.H. Uijen, J. Wouter Jukema, Albert V.G. Bruschke, & Tjeerd van der Werf. (1997). Functional Evaluation of Lipid-Lowering Therapy by Pravastatin in the Regression Growth Evaluation Statin Study (REGRESS). Circulation. 96(2). 429–435. 39 indexed citations

14.

Aengevaeren, W.R.M., Abraham A. Kroon, Anton F. H. Stalenhoef, G.J.H. Uijen, & Tjeerd van der Werf. (1996). Low Density Lipoprotein Apheresis Improves Regional Myocardial Perfusion in Patients With Hypercholesterolemia and Extensive Coronary Artery Disease. Journal of the American College of Cardiology. 28(7). 1696–1704. 68 indexed citations

15.

Aengevaeren, W.R.M., et al.. (1996). Does TIMI frame count reflect myocardial blood flow. Journal of the American College of Cardiology. 29. 381–381. 1 indexed citations

16.

Kroon, Abraham A., W.R.M. Aengevaeren, Tjeerd van der Werf, et al.. (1996). LDL-Apheresis Atherosclerosis Regression Study (LAARS). Effect of aggressive versus conventional lipid lowering treatment on coronary atherosclerosis.. PubMed. 93(10). 1826–35. 223 indexed citations

17.

Camenzind, Edoardo, Victor Legrand, Claude Hanet, et al.. (1996). An open multicenter registry to evaluate local heparin delivery following balloon angioplasty for the prevention of restenosis: Preliminary results. Journal of the American College of Cardiology. 27(2). 321–321. 2 indexed citations

18.

Aengevaeren, W.R.M., et al.. (1995). Early identification of patients at risk for significant left ventricular dilation one year after myocardial infarction. Journal of the American Society of Echocardiography. 8(2). 175–184. 9 indexed citations

19.

Pijls, Nico H.J., et al.. (1990). Reproducibility of mean transit time for maximal myocardial flow assessment by videodensitometry. International journal of cardiac imaging. 6(2). 101–108. 7 indexed citations

20.

Smits, Paul, et al.. (1989). Caffeine reduces dipyridamole-induced myocardial ischemia.. PubMed. 30(10). 1723–6. 23 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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