Ladislav Valkovič

2.9k total citations · 1 hit paper
95 papers, 2.0k citations indexed

About

Ladislav Valkovič is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Ladislav Valkovič has authored 95 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Radiology, Nuclear Medicine and Imaging, 26 papers in Cardiology and Cardiovascular Medicine and 17 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Ladislav Valkovič's work include Advanced MRI Techniques and Applications (64 papers), Cardiac Imaging and Diagnostics (23 papers) and Cardiovascular Function and Risk Factors (23 papers). Ladislav Valkovič is often cited by papers focused on Advanced MRI Techniques and Applications (64 papers), Cardiac Imaging and Diagnostics (23 papers) and Cardiovascular Function and Risk Factors (23 papers). Ladislav Valkovič collaborates with scholars based in Slovakia, United Kingdom and Austria. Ladislav Valkovič's co-authors include Martin Krššák, Siegfried Trattnig, Marek Chmelík, Christopher T. Rodgers, Wolfgang Bogner, Jozef Ukropec, Barbara Ukropcová, William T. Clarke, Matthew D. Robson and Ivan Frollo and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Ladislav Valkovič

90 papers receiving 2.0k citations

Hit Papers

Myocardial Strain Imaging 2024 2026 2025 2024 10 20 30 40
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Myocardial Strain Imaging
    2024 43 citations Oliver J. Rider, Ladislav Valkovič et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ladislav Valkovič Slovakia 25 901 634 352 308 255 95 2.0k
A. Schmid Austria 26 671 0.7× 743 1.2× 206 0.6× 630 2.0× 412 1.6× 68 2.0k
Martin Meyerspeer Austria 23 1.2k 1.3× 412 0.6× 170 0.5× 427 1.4× 123 0.5× 49 2.0k
Jeanine J. Prompers Netherlands 33 854 0.9× 786 1.2× 399 1.1× 1.6k 5.1× 180 0.7× 94 3.1k
Kenneth W. Fishbein United States 32 490 0.5× 627 1.0× 315 0.9× 1.0k 3.3× 159 0.6× 91 3.3k
Marek Chmelík Austria 28 1.2k 1.4× 577 0.9× 145 0.4× 519 1.7× 500 2.0× 62 2.3k
Aad van den Boogaart United Kingdom 12 1.5k 1.7× 263 0.4× 200 0.6× 373 1.2× 265 1.0× 23 2.3k
Lowri E. Cochlin United Kingdom 18 955 1.1× 540 0.9× 842 2.4× 332 1.1× 130 0.5× 28 2.1k
Evelyn E. Babcock United States 17 648 0.7× 446 0.7× 178 0.5× 293 1.0× 560 2.2× 38 1.8k
Michael Horn Germany 23 454 0.5× 294 0.5× 705 2.0× 521 1.7× 431 1.7× 55 2.2k
Peter J. Bore United Kingdom 23 935 1.0× 304 0.5× 245 0.7× 676 2.2× 122 0.5× 34 2.2k

Countries citing papers authored by Ladislav Valkovič

Since Specialization
Citations

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

Fields of papers citing papers by Ladislav Valkovič

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ladislav Valkovič

This figure shows the co-authorship network connecting the top 25 collaborators of Ladislav Valkovič. A scholar is included among the top collaborators of Ladislav Valkovič 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 Ladislav Valkovič. Ladislav Valkovič 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.
Godlewska, Beata R., Uzay Emir, Ann L. Sharpley, et al.. (2025). Brain and muscle chemistry in myalgic encephalitis/chronic fatigue syndrome (ME/CFS) and long COVID: a 7T magnetic resonance spectroscopy study. Molecular Psychiatry. 30(11). 5215–5226. 1 indexed citations
2.
Hansen, Esben Søvsø Szocska, Gwenaël Layec, Jack J. Miller, et al.. (2025). Accuracy and Reliability of an MR‐Compatible Dorsiflexion Ergometer for Dynamic 31P‐MRS: Comparison With a Clinical Dynamometer in Individuals With and Without Obesity. NMR in Biomedicine. 39(1). e70188–e70188.
3.
Devesa, Ana, Victoria Delgado, Ladislav Valkovič, et al.. (2025). Multiorgan Imaging for Interorgan Crosstalk in Cardiometabolic Diseases. Circulation Research. 136(11). 1454–1475. 1 indexed citations
4.
Mózes, Ferenc E., William T. Clarke, Andrew Tyler, et al.. (2025). Repeatability of Rapid Human Cardiac Phosphorus MRSI ( 31 P ‐ MRSI ) Using Concentric Ring Trajectory Readouts at 7 T. Magnetic Resonance in Medicine. 95(5). 2508–2514.
5.
Hundertmark, Moritz, Oliver J. Rider, Damian J. Tyler, et al.. (2024). Ninerafaxstat Modulates Cardiac Energy Metabolism in Cardio-metabolic Syndromes: A Mechanistic, Hyperpolarized MR Trial. Journal of Cardiovascular Magnetic Resonance. 26. 100325–100325.
6.
Giannoudi, Marilena, Amrit Chowdhary, Nicholas Jex, et al.. (2024). Cardiac structural, functional, and energetic assessments during and after pregnancy in women with gestational diabetes mellitus, preeclampsia, and healthy pregnancy. American Journal of Obstetrics and Gynecology. 232(6). 565.e1–565.e16. 1 indexed citations
7.
Chowdhary, Amrit, Nicholas Jex, Marilena Giannoudi, et al.. (2024). Liraglutide Improves Myocardial Perfusion and Energetics and Exercise Tolerance in Patients With Type 2 Diabetes. Journal of the American College of Cardiology. 84(6). 540–557. 9 indexed citations
8.
Cameron, Donnie, Adrián Soto-Mota, David Willis, et al.. (2022). Evaluation of Acute Supplementation With the Ketone Ester (R)-3-Hydroxybutyl-(R)-3-Hydroxybutyrate (deltaG) in Healthy Volunteers by Cardiac and Skeletal Muscle 31P Magnetic Resonance Spectroscopy. Frontiers in Physiology. 13. 793987–793987. 4 indexed citations
9.
Miller, Jack J., Ladislav Valkovič, Matthew Kerr, et al.. (2021). Rapid, ‐insensitive, dual‐band quasi‐adiabatic saturation transfer with optimal control for complete quantification of myocardial ATP flux. Magnetic Resonance in Medicine. 85(6). 2978–2991. 4 indexed citations
10.
Young, Liam A. J., Carlo Ceresa, Ferenc E. Mózes, et al.. (2021). Noninvasive assessment of steatosis and viability of cold‐stored human liver grafts by MRI. Magnetic Resonance in Medicine. 86(6). 3246–3258. 2 indexed citations
11.
Hundertmark, Moritz, Olorunsola F. Agbaje, Ruth L. Coleman, et al.. (2021). Design and Rationale of the EMPA-VISION Trial: Investigating the Metabolic Effects of Empagliflozin in Patients with Heart Failure. ESC Heart Failure. 8(4). 2580–2590. 24 indexed citations
12.
Burrage, Matthew K., Ladislav Valkovič, W. D. Watson, et al.. (2021). Energetic basis for exercise-induced pulmonary congestion in heart failure with preserved ejection fraction. Oxford University Research Archive (ORA) (University of Oxford). 47 indexed citations
13.
Valkovič, Ladislav, et al.. (2021). Investigating the effect of trigger delay on cardiac 31P MRS signals. Scientific Reports. 11(1). 9268–9268. 7 indexed citations
14.
Valkovič, Ladislav, Justin Y. C. Lau, Inès Abdesselam, et al.. (2020). Effects of contrast agents on relaxation properties of 31P metabolites. Magnetic Resonance in Medicine. 85(4). 1805–1813. 1 indexed citations
15.
Valkovič, Ladislav, Mark A. Peterzan, Justin Y. C. Lau, et al.. (2020). Quantifying the effect of dobutamine stress on myocardial Pi and pH in healthy volunteers: A 31P MRS study at 7T. Magnetic Resonance in Medicine. 85(3). 1147–1159. 12 indexed citations
16.
Meyerspeer, Martin, Chris Boesch, Donnie Cameron, et al.. (2020). 31P magnetic resonance spectroscopy in skeletal muscle: Experts' consensus recommendations. NMR in Biomedicine. 34(5). e4246–e4246. 120 indexed citations
17.
Máderová, Denisa, Patrik Krumpolec, Martin Schön, et al.. (2019). Acute and regular exercise distinctly modulate serum, plasma and skeletal muscle BDNF in the elderly. Neuropeptides. 78. 101961–101961. 59 indexed citations
18.
Valkovič, Ladislav, William T. Clarke, A. Schmid, et al.. (2019). Measuring inorganic phosphate and intracellular pH in the healthy and hypertrophic cardiomyopathy hearts by in vivo 7T 31P-cardiovascular magnetic resonance spectroscopy. Journal of Cardiovascular Magnetic Resonance. 21(1). 19–19. 37 indexed citations
19.
Traussnigg, Stefan, Christian Kienbacher, Martin Gajdošík, et al.. (2017). Ultra‐high‐field magnetic resonance spectroscopy in non‐alcoholic fatty liver disease: Novel mechanistic and diagnostic insights of energy metabolism in non‐alcoholic steatohepatitis and advanced fibrosis. Liver International. 37(10). 1544–1553. 36 indexed citations
20.
Chmelík, Marek, Ivica Just Kukurová, Stephan Gruber, et al.. (2012). Fully adiabatic 31P 2D‐CSI with reduced chemical shift displacement error at 7 T — GOIA‐1D‐ISIS/2D‐CSI. Magnetic Resonance in Medicine. 69(5). 1233–1244. 25 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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