Michael Markl
About
Michael Markl is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine.
According to data from OpenAlex, Michael Markl has authored 553 papers receiving a total of 18.9k indexed citations (citations by other indexed papers that have themselves been cited), including 334 papers in Cardiology and Cardiovascular Medicine, 300 papers in Radiology, Nuclear Medicine and Imaging and 240 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Michael Markl's work include Advanced MRI Techniques and Applications (242 papers), Cardiac Valve Diseases and Treatments (167 papers) and Aortic Disease and Treatment Approaches (156 papers). Michael Markl is often cited by papers focused on Advanced MRI Techniques and Applications (242 papers), Cardiac Valve Diseases and Treatments (167 papers) and Aortic Disease and Treatment Approaches (156 papers). Michael Markl collaborates with scholars based in United States, Germany and Switzerland. Michael Markl's co-authors include Alex J. Barker, Alex Frydrychowicz, Jürgen Hennig, James Carr, Andreas Harloff, Bernd Jung, Norbert J. Pelc, Jeremy D. Collins, Mathias Langer and Aurélien F. Stalder and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.
In The Last Decade
Michael Markl
534 papers receiving 18.6k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Michael Markl United States | 70 | 10.8k | 8.3k | 7.9k | 3.2k | 2.7k | 553 | 18.9k | ||
| Chun Yuan United States | 70 | 8.8k 0.8× | 8.7k 1.0× | 13.7k 1.7× | 5.1k 1.6× | 5.1k 1.9× | 416 | 20.2k | ||
| David Saloner United States | 51 | 3.6k 0.3× | 2.8k 0.3× | 5.0k 0.6× | 1.9k 0.6× | 1.9k 0.7× | 285 | 9.9k | ||
| Claus D. Claussen Germany | 77 | 2.9k 0.3× | 12.6k 1.5× | 4.9k 0.6× | 3.1k 1.0× | 5.8k 2.2× | 681 | 25.1k | ||
| Robert J. Siegel United States | 65 | 10.7k 1.0× | 3.7k 0.4× | 2.6k 0.3× | 4.4k 1.4× | 6.1k 2.3× | 456 | 17.1k | ||
| Leon Axel United States | 59 | 4.8k 0.4× | 9.1k 1.1× | 1.5k 0.2× | 1.3k 0.4× | 2.1k 0.8× | 349 | 14.9k | ||
| Martin R. Prince United States | 63 | 2.2k 0.2× | 8.6k 1.0× | 5.1k 0.6× | 1.0k 0.3× | 2.6k 1.0× | 358 | 15.3k | ||
| David Firmin United Kingdom | 61 | 6.6k 0.6× | 9.5k 1.1× | 2.2k 0.3× | 1.2k 0.4× | 1.9k 0.7× | 342 | 14.6k | ||
| Eike Nagel Germany | 68 | 12.5k 1.2× | 14.3k 1.7× | 1.9k 0.2× | 1.4k 0.4× | 3.8k 1.4× | 431 | 21.2k | ||
| James Carr United States | 48 | 4.5k 0.4× | 4.6k 0.6× | 3.4k 0.4× | 1.3k 0.4× | 1.4k 0.5× | 374 | 9.2k | ||
| Norbert J. Pelc United States | 61 | 2.4k 0.2× | 11.2k 1.3× | 2.5k 0.3× | 1.0k 0.3× | 1.2k 0.4× | 326 | 15.1k |
Countries citing papers authored by Michael Markl
Since
Specialization
Citations
This map shows the geographic impact of Michael Markl'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 Michael Markl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Markl more than expected).
Fields of papers citing papers by Michael Markl
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Michael Markl. 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 Michael Markl. The network helps show where Michael Markl may publish in the future.
Co-authorship network of co-authors of Michael Markl
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Markl. A scholar is included among the top collaborators of Michael Markl 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 Michael Markl. Michael Markl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Markl, Michael, et al.. (2025). Impact of measurement location on direct mitral regurgitation quantification using four-dimensional flow cardiovascular magnetic resonance. PubMed. 27(1). 101847–101847.
2.
Watanabe, Kae, Lindsay Griffin, Michael Markl, et al.. (2024). Multiparametric cardiovascular magnetic resonance is associated with outcomes in pediatric heart transplant recipients. Journal of Cardiovascular Magnetic Resonance. 27(1). 101138–101138.
3.
Elbaz, Mohammed S.M., Melika Shafeghat, Benjamin H. Freed, et al.. (2024). 3D Vortex‐Energetics in the Left Pulmonary Artery for Differentiating Pulmonary Arterial Hypertension and Pulmonary Venous Hypertension Groups Using 4D Flow MRI . Journal of Magnetic Resonance Imaging. 61(5). 2130–2143.
4.
Schnell, Susanne, Can Wu, Michael Markl, et al.. (2024). Cerebral Arterial Inflow and Venous Outflow Assessment Using 4D Flow MRI in Adult and Pediatric Patients. SHILAP Revista de lepidopterología. 3(4). 407–418.
5.
Ma, Liliana, Christopher Roy, Joshua D. Robinson, et al.. (2024). Respiration-resolved 5D flow MRI: Impact of the number of respiratory states of blood flow quantification in congenital heart disease patients. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition.
6.
Quinn, Sandra Crouse, et al.. (2023). Clinical Applications of Four-Dimensional Flow MRI. Magnetic Resonance Imaging Clinics of North America. 31(3). 451–460.
7.
Patel, Neal, Jiacheng Zhang, Susanne Schnell, et al.. (2023). Automatic 4D Flow MRI Segmentation Using the Standardized Difference of Means Velocity. IEEE Transactions on Medical Imaging. 42(8). 2360–2373.
8.
Wiesemann, Stephanie, Ralf Felix Trauzeddel, Ahmed Musa, et al.. (2023). Changes of aortic hemodynamics after aortic valve replacement—A four dimensional flow cardiovascular magnetic resonance follow up study. Frontiers in Cardiovascular Medicine. 10.
9.
Liu, Sophia, Muhammad Umair, Bradley D. Allen, et al.. (2022). Combined modality PET/MR for the detection of severe large vessel vasculitis. SHILAP Revista de lepidopterología. 6(1). 16–16.
10.
Abbasi, Muhannad, Daniel Lee, Allen S. Anderson, et al.. (2022). Multiparametric Cardiac Magnetic Resonance Imaging Detects Altered Myocardial Tissue and Function in Heart Transplantation Recipients Monitored for Cardiac Allograft Vasculopathy. PubMed. 30(4). 263–263.
11.
Robinson, Joshua D., et al.. (2022). Abstract 11504: Elevated Seismocardiography-Derived Chest Energy is Associated With Aortic Flow Abnormalities in Patients With Aortic Valve Disease. Circulation. 146(Suppl_1).
12.
Zhong, Liang, Eric Schrauben, Julio García, et al.. (2019). Intracardiac 4D Flow MRI in Congenital Heart Disease: Recommendations on Behalf of the ISMRM Flow & Motion Study Group. Journal of Magnetic Resonance Imaging. 50(3). 677–681.
13.
Jarvis, Kelly, Marleen Vonder, Alex J. Barker, et al.. (2016). Hemodynamic evaluation in patients with transposition of the great arteries after the arterial switch operation: 4D flow and 2D phase contrast cardiovascular magnetic resonance compared with Doppler echocardiography. Journal of Cardiovascular Magnetic Resonance. 18(1). 59–59.
14.
Keller, Eric J., Jeremy D. Collins, Cynthia K. Rigsby, et al.. (2016). Superior Abdominal 4D Flow MRI Data Consistency with Adjusted Preprocessing Workflow and Noncontrast Acquisitions. Academic Radiology. 24(3). 350–358.
15.
Lee, Daniel, Jeffrey J. Goldberger, Jacob U. Fluckiger, et al.. (2013). Abstract 17900: Analysis of Left Atrial Flow Velocity Distribution by 4D Flow MRI in Patients With Atrial Fibrillation. Circulation.
16.
Hennemuth, Anja, et al.. (2011). Towards patient-individual blood flow simulations based on PC-MRI measurements.. GI-Jahrestagung. 447.
17.
Odéen, Henrik, et al.. (2011). Assessing cerebrospinal fluid flow connectivity using 3D gradient echo phase contrast velocity encoded MRI. Physiological Measurement. 32(4). 407–421.
18.
Harloff, Andreas, Stefanie M. Brendecke, Thomas Helbing, et al.. (2010). Complex Plaques in the Proximal Descending Aorta. Stroke. 41(6). 1145–1150.
19.
Harloff, Andreas, Simon Bauer, Aurélien F. Stalder, et al.. (2010). In vivo assessment of wall shear stress in the atherosclerotic aorta using flow‐sensitive 4D MRI. Magnetic Resonance in Medicine. 63(6). 1529–1536.
20.
Unterhinninghofen, Roland, Sebastian Ley, Alex Frydrychowicz, & Michael Markl. (2007). MRT-basierte tridirektionale Flussbildgebung : Aufnahme und 3D-Analyse von Strömungen in der thorakalen Aorta. Der Radiologe. 47(11). 1012–1020.
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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