Darius Dabir

2.9k total citations · 1 hit paper
67 papers, 2.1k citations indexed

About

Darius Dabir is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Darius Dabir has authored 67 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Cardiology and Cardiovascular Medicine, 41 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Darius Dabir's work include Cardiac Imaging and Diagnostics (33 papers), Advanced MRI Techniques and Applications (25 papers) and Cardiovascular Function and Risk Factors (21 papers). Darius Dabir is often cited by papers focused on Cardiac Imaging and Diagnostics (33 papers), Advanced MRI Techniques and Applications (25 papers) and Cardiovascular Function and Risk Factors (21 papers). Darius Dabir collaborates with scholars based in Germany, United Kingdom and United States. Darius Dabir's co-authors include Julian A. Luetkens, Daniel Thomas, Daniel Kuetting, Hans H. Schild, Alois M. Sprinkart, Valentina O. Püntmann, Eike Nagel, Rami Homsi, Toby Rogers and Claas P. Naehle and has published in prestigious journals such as Scientific Reports, Radiology and Hypertension.

In The Last Decade

Darius Dabir

65 papers receiving 2.0k citations

Hit Papers

align trajectories

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.

T1-Mapping and Outcome in Nonischemic Cardiomyopathy

2016 336 citations Valentina O. Püntmann, Andrew Jabbour et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Darius Dabir Germany	22	1.6k	1.0k	436	251	156	67	2.1k
Lucy Hudsmith United Kingdom	22	1.5k 1.0×	864 0.8×	310 0.7×	406 1.6×	253 1.6×	68	2.0k
Stephan Hill Germany	15	1.5k 1.0×	855 0.8×	604 1.4×	216 0.9×	117 0.8×	30	1.7k
Claas P. Naehle Germany	22	1.1k 0.7×	1.0k 1.0×	285 0.7×	203 0.8×	179 1.1×	55	1.7k
Daniel Kuetting Germany	24	863 0.6×	734 0.7×	451 1.0×	410 1.6×	178 1.1×	135	2.0k
Audrey White United Kingdom	16	1.4k 0.9×	937 0.9×	486 1.1×	518 2.1×	450 2.9×	33	2.2k
Niek H. J. Prakken Netherlands	24	1.3k 0.8×	661 0.6×	307 0.7×	340 1.4×	311 2.0×	76	1.8k
Simon Greulich Germany	19	1.2k 0.8×	682 0.7×	339 0.8×	181 0.7×	351 2.3×	61	1.8k
Kai Muellerleile Germany	19	1.7k 1.1×	1.2k 1.2×	403 0.9×	130 0.5×	91 0.6×	71	2.0k
Gherardo Finocchiaro United Kingdom	28	2.3k 1.5×	334 0.3×	267 0.6×	207 0.8×	149 1.0×	107	2.5k
Alberto Cipriani Italy	24	1.9k 1.2×	317 0.3×	420 1.0×	263 1.0×	98 0.6×	116	2.2k

Countries citing papers authored by Darius Dabir

Since Specialization

Citations

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

Fields of papers citing papers by Darius Dabir

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Darius Dabir

This figure shows the co-authorship network connecting the top 25 collaborators of Darius Dabir. A scholar is included among the top collaborators of Darius Dabir 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 Darius Dabir. Darius Dabir 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

Krausewitz, Philipp, Julian A. Luetkens, Darius Dabir, et al.. (2022). Prospective analysis of pain expectancy and experience during MR-fusion prostate biopsy: does reality match patients’ expectancy?. World Journal of Urology. 40(9). 2239–2244. 6 indexed citations

Isaak, Alexander, Waltraut M. Merz, Anton Faron, et al.. (2022). Peripartum Cardiomyopathy: Diagnostic and Prognostic Value of Cardiac Magnetic Resonance in the Acute Stage. Diagnostics. 12(2). 378–378. 7 indexed citations

Faron, Anton, Alexander Isaak, Narine Mesropyan, et al.. (2021). Cardiac MRI Depicts Immune Checkpoint Inhibitor–induced Myocarditis: A Prospective Study. Radiology. 301(3). 602–609. 39 indexed citations

Luetkens, Julian A., Anton Faron, Alexander Isaak, et al.. (2020). Influence of hydration status on cardiovascular magnetic resonance myocardial T1 and T2 relaxation time assessment: an intraindividual study in healthy subjects. Journal of Cardiovascular Magnetic Resonance. 22(1). 63–63. 16 indexed citations

Isaak, Alexander, Michael Praktiknjo, Christian Jansen, et al.. (2020). Myocardial Fibrosis and Inflammation in Liver Cirrhosis: MRI Study of the Liver-Heart Axis. Radiology. 297(1). 51–61. 43 indexed citations

Dabir, Darius, Julian A. Luetkens, Daniel Kuetting, et al.. (2019). Cardiac magnetic resonance including parametric mapping in acute Takotsubo syndrome: Preliminary findings. European Journal of Radiology. 113. 217–224. 20 indexed citations

Luetkens, Julian A., Alexander Isaak, Claas P. Naehle, Darius Dabir, & Daniel Thomas. (2018). Extended cardiac magnetic resonance imaging with retained temporary transmyocardial pacing lead. International journal of cardiac imaging. 35(4). 663–664. 1 indexed citations

Kuetting, Daniel, Andreas Feißt, Darius Dabir, et al.. (2018). The effects of flip angle optimization on the precision and reproducibility of feature tracking derived strain assessment in contrast enhanced bSSFP cine images. European Journal of Radiology. 102. 9–14. 3 indexed citations

Dabir, Darius, Andreas Feißt, Daniel Thomas, et al.. (2018). Physical Properties of Venous Stents: An Experimental Comparison. CardioVascular and Interventional Radiology. 41(6). 942–950. 59 indexed citations

10.

Kuetting, Daniel, Andreas Feißt, Darius Dabir, et al.. (2017). Comparison of magnetic resonance feature tracking with CSPAMM HARP for the assessment of global and regional layer specific strain. International Journal of Cardiology. 244. 340–346. 7 indexed citations

11.

Luetkens, Julian A., Daniel Kuetting, Darius Dabir, et al.. (2017). Feature-tracking myocardial strain analysis in acute myocarditis: diagnostic value and association with myocardial oedema. European Radiology. 27(11). 4661–4671. 53 indexed citations

12.

Kuetting, Daniel, Andreas Michael Müller, Andreas Feißt, et al.. (2017). Incidental Cardiac Findings in Non–Electrocardiogram-gated Thoracic Computed Tomography of Intensive Care Unit Patients: Assessment of Prevalence and Underreporting. Journal of Thoracic Imaging. 33(3). 168–175. 6 indexed citations

13.

Child, Nicholas, Gonca Suna, Darius Dabir, et al.. (2017). Comparison of MOLLI, shMOLLLI, and SASHA in discrimination between health and disease and relationship with histologically derived collagen volume fraction. European Heart Journal - Cardiovascular Imaging. 19(7). 768–776. 55 indexed citations

14.

Homsi, Rami, Alois M. Sprinkart, Juergen Gieseke, et al.. (2016). 3D-Dixon cardiac magnetic resonance detects an increased epicardial fat volume in hypertensive men with myocardial infarction. European Journal of Radiology. 85(5). 936–942. 13 indexed citations

15.

Kuetting, Daniel, Rami Homsi, Alois M. Sprinkart, et al.. (2016). Quantitative assessment of systolic and diastolic function in patients with LGE negative systemic amyloidosis using CMR. International Journal of Cardiology. 232. 336–341. 16 indexed citations

16.

Doerner, Jonas, Daniel Kuetting, Julian A. Luetkens, et al.. (2014). Caffeine and taurine containing energy drink increases left ventricular contractility in healthy volunteers. International journal of cardiac imaging. 31(3). 595–601. 31 indexed citations

17.

Dabir, Darius, Nicholas Child, Toby Rogers, et al.. (2014). Reference values for healthy human myocardium using a T1 mapping methodology: results from the International T1 Multicenter cardiovascular magnetic resonance study. Journal of Cardiovascular Magnetic Resonance. 16(1). 69–69. 259 indexed citations

18.

Sohns, Jan M, Wieland Staab, Darius Dabir, et al.. (2013). Current role and future potential of magnetic resonance cholangiopancreatography with an emphasis on incidental findings. Clinical Imaging. 38(1). 35–41. 6 indexed citations

19.

Rogers, Toby, Darius Dabir, Islam Mahmoud, et al.. (2013). Standardization of T1 measurements with MOLLI in differentiation between health and disease – the ConSept study. Journal of Cardiovascular Magnetic Resonance. 15(1). 78–78. 123 indexed citations

20.

Dabir, Darius, et al.. (2012). High-resolution motion compensated MRA in patients with congenital heart disease using extracellular contrast agent at 3 Tesla. Journal of Cardiovascular Magnetic Resonance. 14(1). 84–84. 15 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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