Jonas Lantz

1.2k total citations
38 papers, 870 citations indexed

About

Jonas Lantz is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jonas Lantz has authored 38 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cardiology and Cardiovascular Medicine, 18 papers in Surgery and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jonas Lantz's work include Coronary Interventions and Diagnostics (18 papers), Cardiovascular Function and Risk Factors (13 papers) and Advanced MRI Techniques and Applications (10 papers). Jonas Lantz is often cited by papers focused on Coronary Interventions and Diagnostics (18 papers), Cardiovascular Function and Risk Factors (13 papers) and Advanced MRI Techniques and Applications (10 papers). Jonas Lantz collaborates with scholars based in Sweden, United States and Germany. Jonas Lantz's co-authors include Matts Karlsson, Tino Ebbers, Matts Karlsson, Petter Dyverfeldt, Anders Persson, Carl‐Johan Carlhäll, Lilian Henriksson, Magnus Ziegler, Jan Engvall and Magnus Andersson and has published in prestigious journals such as The Journal of Physiology, Scientific Reports and Radiology.

In The Last Decade

Jonas Lantz

35 papers receiving 851 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonas Lantz Sweden 19 593 325 261 246 113 38 870
Boyang Su Singapore 19 588 1.0× 363 1.1× 126 0.5× 315 1.3× 126 1.1× 43 922
J. A. Moore Canada 12 467 0.8× 518 1.6× 362 1.4× 200 0.8× 128 1.1× 17 936
Sten Oyre Denmark 13 534 0.9× 333 1.0× 275 1.1× 335 1.4× 116 1.0× 15 870
Eric Poon Australia 15 228 0.4× 326 1.0× 167 0.6× 137 0.6× 93 0.8× 54 628
Matts Karlsson Sweden 14 366 0.6× 233 0.7× 160 0.6× 89 0.4× 104 0.9× 43 662
Adam Updegrove United States 6 258 0.4× 224 0.7× 176 0.7× 120 0.5× 140 1.2× 12 546
M.C.M. Rutten Netherlands 14 343 0.6× 249 0.8× 310 1.2× 109 0.4× 263 2.3× 29 735
Gerhard Rappitsch Austria 12 560 0.9× 706 2.2× 357 1.4× 134 0.5× 217 1.9× 26 1.1k
Francesco Sturla Italy 19 667 1.1× 380 1.2× 344 1.3× 93 0.4× 144 1.3× 64 924
Abigaïl Swillens Belgium 23 881 1.5× 393 1.2× 310 1.2× 596 2.4× 494 4.4× 62 1.4k

Countries citing papers authored by Jonas Lantz

Since Specialization
Citations

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

Fields of papers citing papers by Jonas Lantz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonas Lantz

This figure shows the co-authorship network connecting the top 25 collaborators of Jonas Lantz. A scholar is included among the top collaborators of Jonas Lantz 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 Jonas Lantz. Jonas Lantz 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
1.
2.
Lantz, Jonas, Lilian Henriksson, Lars Karlsson, et al.. (2023). Elevated atrial blood stasis in paroxysmal atrial fibrillation during sinus rhythm: a patient-specific computational fluid dynamics study. Frontiers in Cardiovascular Medicine. 10. 1219021–1219021. 11 indexed citations
3.
Frank, Sarah, Junsung Lee, Jonas Lantz, Tino Ebbers, & Shawn C. Shadden. (2021). Cardiac Kinetic Energy and Viscous Dissipation Rate From Radial Flow Data. Frontiers in Physiology. 12. 725104–725104. 4 indexed citations
4.
Lantz, Jonas, Carl‐Johan Carlhäll, Ann F. Bolger, et al.. (2020). Impact of prosthetic mitral valve orientation on the ventricular flow field: Comparison using patient-specific computational fluid dynamics. Journal of Biomechanics. 116. 110209–110209. 18 indexed citations
5.
Ziegler, Magnus, Martin Welander, Jonas Lantz, et al.. (2018). Visualizing and quantifying flow stasis in abdominal aortic aneurysms in men using 4D flow MRI. Magnetic Resonance Imaging. 57. 103–110. 19 indexed citations
6.
Lantz, Jonas, Vikas Gupta, Lilian Henriksson, et al.. (2018). Impact of Pulmonary Venous Inflow on Cardiac Flow Simulations: Comparison with In Vivo 4D Flow MRI. Annals of Biomedical Engineering. 47(2). 413–424. 41 indexed citations
7.
Lantz, Jonas, Vikas Gupta, Lilian Henriksson, et al.. (2018). Intracardiac Flow at 4D CT: Comparison with 4D Flow MRI. Radiology. 289(1). 51–58. 42 indexed citations
8.
Lantz, Jonas, et al.. (2017). Characterization of cardiac flow in heart disease patients by computational fluid dynamics and 4D flow MRI. Bulletin of the American Physical Society. 1 indexed citations
9.
Lantz, Jonas, Gunnar Cedersund, Ann F. Bolger, et al.. (2017). Bridging the gap between measurements and modelling: a cardiovascular functional avatar. Scientific Reports. 7(1). 6214–6214. 35 indexed citations
10.
Ha, Hojin, Jonas Lantz, Magnus Ziegler, et al.. (2017). Estimating the irreversible pressure drop across a stenosis by quantifying turbulence production using 4D Flow MRI. Scientific Reports. 7(1). 46618–46618. 54 indexed citations
11.
Haraldsson, Henrik, Sinyeob Ahn, Petter Dyverfeldt, et al.. (2017). Assessment of Reynolds stress components and turbulent pressure loss using 4D flow MRI with extended motion encoding. Magnetic Resonance in Medicine. 79(4). 1962–1971. 23 indexed citations
12.
Ha, Hojin, Jonas Lantz, Henrik Haraldsson, et al.. (2016). Assessment of turbulent viscous stress using ICOSA 4D Flow MRI for prediction of hemodynamic blood damage. Scientific Reports. 6(1). 39773–39773. 32 indexed citations
13.
Andersson, Magnus, Jonas Lantz, Tino Ebbers, & Matts Karlsson. (2016). Multidirectional WSS disturbances in stenotic turbulent flows: A pre- and post-intervention study in an aortic coarctation. Journal of Biomechanics. 51. 8–16. 32 indexed citations
14.
Andersson, Magnus, Jonas Lantz, Tino Ebbers, & Matts Karlsson. (2015). Quantitative Assessment of Turbulence and Flow Eccentricity in an Aortic Coarctation: Impact of Virtual Interventions. Cardiovascular Engineering and Technology. 6(3). 281–293. 25 indexed citations
15.
Lantz, Jonas, Tino Ebbers, Jan Engvall, & Matts Karlsson. (2013). Numerical and experimental assessment of turbulent kinetic energy in an aortic coarctation. Journal of Biomechanics. 46(11). 1851–1858. 69 indexed citations
16.
Andersson, Magnus, et al.. (2012). Reduced Aerodynamic Drag for Truck-Trailer Configurations Using Parametrized CFD Studies. 1213–1220. 1 indexed citations
17.
Lantz, Jonas, et al.. (2011). Large Eddy Simulation of Stenotic Flow for Wall Shear Stress Estimation - Validation and Application. 8(3). 86–101. 12 indexed citations
18.
Lantz, Jonas & Matts Karlsson. (2011). Large eddy simulation of LDL surface concentration in a subject specific human aorta. Journal of Biomechanics. 45(3). 537–542. 47 indexed citations
19.
Lantz, Jonas. (2007). Heat Transfer Correlations Between a Heated Surface and Liquid a Superfluid Helium : For Better Understanding of the Thermal Stability of the Superconducting Dipole Magnets in the LHC at CERN. 3 indexed citations
20.
Moon, Hyungpil & Jonas Lantz. (2004). Synthesis bounds for distributed manipulation using logarithmic-radial potential fields. 3. 2908–2913. 6 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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