Marco Götte
About
Marco Götte is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery.
According to data from OpenAlex, Marco Götte has authored 140 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Cardiology and Cardiovascular Medicine, 78 papers in Radiology, Nuclear Medicine and Imaging and 18 papers in Surgery. Recurrent topics in Marco Götte's work include Cardiac Imaging and Diagnostics (65 papers), Cardiovascular Function and Risk Factors (54 papers) and Advanced MRI Techniques and Applications (52 papers). Marco Götte is often cited by papers focused on Cardiac Imaging and Diagnostics (65 papers), Cardiovascular Function and Risk Factors (54 papers) and Advanced MRI Techniques and Applications (52 papers). Marco Götte collaborates with scholars based in Netherlands, United Kingdom and United States. Marco Götte's co-authors include Albert C. van Rossum, J. Tim Marcus, Paul Knaapen, Jaco J.M. Zwanenburg, Iris K. Rüssel, Joost P.A. Kuijer, Cees A. Visser, J. Tim Marcus, Tjeerd Germans and Adriaan A. Lammertsma and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Neurology.
In The Last Decade
Marco Götte
121 papers receiving 3.4k citations
Peers
Marco Götte
Henrik Engblom Sweden
Henning Steen Germany
Harald P. Kühl Germany
Theano Papavassiliu Germany
Pierre‐Yves Marie France
Sebastiaan C.A.M. Bekkers Netherlands
Martina Perazzolo Marra Italy
Peter Lanzer Germany
Denis Agostini France
Gunnar Lund Germany
Citations per year, relative to Marco Götte Marco Götte (= 1×)
peers
Henrik Engblom
Countries citing papers authored by Marco Götte
Since
Specialization
Citations
This map shows the geographic impact of Marco Götte'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 Marco Götte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Götte more than expected).
Fields of papers citing papers by Marco Götte
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Marco Götte. 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 Marco Götte. The network helps show where Marco Götte may publish in the future.
Co-authorship network of co-authors of Marco Götte
This figure shows the co-authorship network connecting the top 25 collaborators of Marco Götte. A scholar is included among the top collaborators of Marco Götte 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 Marco Götte. Marco Götte is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Götte, Marco, Luuk H G A Hopman, Pranav Bhagirath, et al.. (2025). First-in-Human Real-Time MR-Guided Ventricular Ablation for Idiopathic Outflow Tract Premature Ventricular Complexes. JAMA Cardiology. 10(11). 1195–1195.
2.
Hopman, Luuk H G A, et al.. (2025). Right atrial reverse remodeling after pulmonary vein isolation: Analyzing changes in volume and function using cardiac magnetic resonance imaging. Heart Rhythm. 22(10). 2543–2550.
3.
Hopman, Luuk H G A, et al.. (2025). Left atrial volumetric and functional remodeling post-pulmonary vein isolation: Insights from cardiac magnetic resonance imaging. Journal of Cardiovascular Magnetic Resonance. 27(2). 101937–101937.
4.
Hopman, Luuk H G A, Philippe J. van Rosendael, Cornelis P. Allaart, et al.. (2025). Visualization of acute atrial injury after ablation by contrast-enhanced T1-weighted short inversion time cardiac magnetic resonance imaging. Heart Rhythm. 22(12). 3208–3209.
5.
Borodzicz-Jażdżyk, Sonia, et al.. (2025). Stress T1 mapping and quantitative perfusion cardiovascular magnetic resonance in patients with suspected obstructive coronary artery disease. European Heart Journal - Cardiovascular Imaging. 26(6). 980–990.
6.
Hopman, Luuk H G A, Aart J. Nederveen, Pim van Ooij, et al.. (2024). Clinical implications of different methods to assess left atrial remodeling: A comparative study between echocardiography and cardiac magnetic resonance imaging for left atrial volume index quantification. International Journal of Cardiology. 414. 132443–132443.
7.
Ooij, Pim van, Renske Merton, Eric Schrauben, et al.. (2024). Feasibility of 4D-flow CMR for haemodynamic characterization in hypertrophic cardiomyopathy after septal myectomy with and without anterior mitral valve leaflet extension. Interdisciplinary CardioVascular and Thoracic Surgery. 40(1).
8.
Sadeghi, Amir H., et al.. (2024). Virtual Reality for Pain and Anxiety Management in Cardiac Surgery and Interventional Cardiology. JACC Advances. 3(2). 100814–100814.
9.
Hopman, Luuk H G A, Arjan Malekzadeh, Aart J. Nederveen, et al.. (2024). Disparities in quantification of mitral valve regurgitation between cardiovascular magnetic resonance imaging and trans-thoracic echocardiography: a systematic review. The International Journal of Cardiovascular Imaging. 41(4). 647–658.
10.
Veerdonk, Mariëlle C. van de, et al.. (2024). Cardiovascular magnetic resonance imaging-guided right heart catheterizations for cardiac pressure–volume loop analyses. European Heart Journal - Cardiovascular Imaging. 25(6). 735–738.
11.
Borodzicz-Jażdżyk, Sonia, Pepijn A. van Diemen, Ruben W. de Winter, et al.. (2024). Diagnostic performance of quantitative perfusion cardiac magnetic resonance imaging in patients with prior coronary artery disease. European Heart Journal - Cardiovascular Imaging. 26(2). 207–217.
12.
Hopman, Luuk H G A, et al.. (2023). Loss of capture of conduction system pacemaker caused by fibrosis surrounding the lead: a case report. BMC Cardiovascular Disorders. 23(1). 621–621.
13.
Bhagirath, Pranav, Fernando O. Campos, Pieter G. Postema, et al.. (2023). Arrhythmogenic vulnerability of re-entrant pathways in post-infarct ventricular tachycardia assessed by advanced computational modelling. EP Europace. 25(9).
14.
Hopman, Luuk H G A, Anne‐Lotte C.J. van der Lingen, Mark J. Mulder, et al.. (2023). Cardiac Magnetic Resonance Imaging–Derived Left Atrial Characteristics in Relation to Atrial Fibrillation Detection in Patients With an Implantable Cardioverter‐Defibrillator. Journal of the American Heart Association. 12(15). e028014–e028014.
15.
Borodzicz-Jażdżyk, Sonia, et al.. (2023). Microvascular dysfunction in hypertrophic cardiomyopathy: the diagnostic role of non-invasive, fully automated quantitative perfusion cardiovascular magnetic resonance imaging. Polskie Archiwum Medycyny Wewnętrznej. 134(1).
16.
Bhagirath, Pranav, et al.. (2015). Non-invasive focus localization, right ventricular epicardial potential mapping in patients with an MRI-conditional pacemaker system ‐ a pilot study. Journal of Interventional Cardiac Electrophysiology. 44(3). 227–234.
17.
Götte, Marco, Iris K. Rüssel, Tjeerd Germans, et al.. (2010). Magnetic resonance imaging, pacemakers and implantable cardioverter-defibrillators: current situation and clinical perspective.. PubMed Central. 18(1). 31–7.
18.
Knaapen, Paul, Stefan de Haan, Otto S. Hoekstra, et al.. (2010). Cardiac PET-CT: advanced hybrid imaging for the detection of coronary artery disease. Netherlands Heart Journal. 18(2). 90–98.
19.
Knaapen, Paul, et al.. (2009). Stroke Work or Systolic d P /d t max to Evaluate Acute Response to Cardiac Resynchronization Therapy: Are they Interchangeable?. European Journal of Heart Failure. 11(7). 706–708.
20.
Kuijer, Joost P.A., et al.. (1999). Simultaneous MRI tagging and through‐plane velocity quantification: A three‐dimensional myocardial motion tracking algorithm. Journal of Magnetic Resonance Imaging. 9(3). 409–419.
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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