Elena Lukaschuk

3.8k total citations · 1 hit paper
39 papers, 1.2k citations indexed

About

Elena Lukaschuk is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Elena Lukaschuk has authored 39 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cardiology and Cardiovascular Medicine, 24 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Elena Lukaschuk's work include Cardiac Imaging and Diagnostics (22 papers), Cardiovascular Function and Risk Factors (20 papers) and Advanced MRI Techniques and Applications (10 papers). Elena Lukaschuk is often cited by papers focused on Cardiac Imaging and Diagnostics (22 papers), Cardiovascular Function and Risk Factors (20 papers) and Advanced MRI Techniques and Applications (10 papers). Elena Lukaschuk collaborates with scholars based in United Kingdom, United States and South Korea. Elena Lukaschuk's co-authors include Stefan K. Piechnik, Stefan Neubauer, Kenneth Fung, Valentina Carapella, José Miguel Paiva, Steffen E. Petersen, Nay Aung, Mihir M. Sanghvi, Aaron M. Lee and Young Jin Kim and has published in prestigious journals such as Circulation, PLoS ONE and European Heart Journal.

In The Last Decade

Elena Lukaschuk

36 papers receiving 1.2k citations

Hit Papers

Reference ranges for card... 2016 2026 2019 2022 2016 100 200 300
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. Reference ranges for cardiac structure and function using cardiovascular magnetic resonance (CMR) in Caucasians from the UK Biobank population cohort
    2016 397 citations Steffen E. Petersen, Nay Aung et al. Journal of Cardiovascular Magnetic Resonance profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elena Lukaschuk United Kingdom 16 856 610 163 95 92 39 1.2k
Mihir M. Sanghvi United Kingdom 15 684 0.8× 398 0.7× 115 0.7× 97 1.0× 62 0.7× 36 1.0k
Kenneth Fung United Kingdom 17 807 0.9× 460 0.8× 128 0.8× 118 1.2× 73 0.8× 43 1.3k
Valentina Carapella United Kingdom 13 565 0.7× 357 0.6× 105 0.6× 71 0.7× 64 0.7× 22 861
Filip Zemrak United Kingdom 19 1.2k 1.4× 632 1.0× 131 0.8× 156 1.6× 81 0.9× 46 1.6k
Katarina Steding‐Ehrenborg Sweden 16 508 0.6× 311 0.5× 183 1.1× 108 1.1× 59 0.6× 48 746
Alain Delabays Switzerland 23 1.1k 1.2× 246 0.4× 619 3.8× 444 4.7× 53 0.6× 62 1.9k
Paolo Barbier Italy 18 1.2k 1.5× 451 0.7× 251 1.5× 286 3.0× 73 0.8× 57 1.4k
Steven C. Port United States 16 953 1.1× 822 1.3× 207 1.3× 271 2.9× 186 2.0× 55 1.5k
Lazar Velicki Serbia 15 413 0.5× 79 0.1× 84 0.5× 181 1.9× 101 1.1× 89 656
Quirino Ciampi Italy 21 1.3k 1.5× 679 1.1× 185 1.1× 426 4.5× 109 1.2× 108 1.6k

Countries citing papers authored by Elena Lukaschuk

Since Specialization
Citations

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

Fields of papers citing papers by Elena Lukaschuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elena Lukaschuk

This figure shows the co-authorship network connecting the top 25 collaborators of Elena Lukaschuk. A scholar is included among the top collaborators of Elena Lukaschuk 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 Elena Lukaschuk. Elena Lukaschuk 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.
Thomas, Katharine, Elena Lukaschuk, Keith M. Channon, et al.. (2024). Comparison of T1- and t2-mapping in the Detection of Acute Myocardial Oedema in Takotsubo Syndrome. Journal of Cardiovascular Magnetic Resonance. 26. 100975–100975.
2.
Henry, John A., Emmanuel Selvaraj, Matthew K. Burrage, et al.. (2024). Exploring cardiovascular involvement in IgG4-related disease: a case series approach with cardiovascular magnetic resonance. Heart. 111(3). 133–140.
3.
Henry, John A., Emmanuel Selvaraj, Matthew K. Burrage, et al.. (2023). Investigating the cardiac manifestations of IgG4-related disease using cardiac magnetic resonance imaging. European Heart Journal. 44(Supplement_2).
4.
Thomas, Katharine, Elena Lukaschuk, Mayooran Shanmuganathan, et al.. (2023). Misclassification of females and males in cardiovascular magnetic resonance parametric mapping: the importance of sex-specific normal ranges for diagnosis of health vs. disease. European Heart Journal - Cardiovascular Imaging. 25(3). 339–346. 3 indexed citations
5.
Simon, Judit, Kenneth Fung, Márton Kolossváry, et al.. (2020). Sex-specific associations between alcohol consumption, cardiac morphology, and function as assessed by magnetic resonance imaging: insights form the UK Biobank Population Study. European Heart Journal - Cardiovascular Imaging. 22(9). 1009–1016. 4 indexed citations
6.
Zhang, Qiang, Konrad Werys, Iulia A. Popescu, et al.. (2020). Deep learning with attention supervision for automated motion artefact detection in quality control of cardiac T1-mapping. Artificial Intelligence in Medicine. 110. 101955–101955. 31 indexed citations
7.
Gooya, Ali, Xènia Albà, Le Zhang, et al.. (2019). Quantitative CMR population imaging on 20,000 subjects of the UK Biobank imaging study: LV/RV quantification pipeline and its evaluation. Medical Image Analysis. 56. 26–42. 39 indexed citations
8.
Biasiolli, Luca, Elena Lukaschuk, Valentina Carapella, et al.. (2019). Automated localization and quality control of the aorta in cine CMR can significantly accelerate processing of the UK Biobank population data. PLoS ONE. 14(2). e0212272–e0212272. 24 indexed citations
9.
Carapella, Valentina, Elena Lukaschuk, Claudia Marini, et al.. (2019). Standardized image post-processing of cardiovascular magnetic resonance T1-mapping reduces variability and improves accuracy and consistency in myocardial tissue characterization. International Journal of Cardiology. 298. 128–134. 15 indexed citations
10.
Jensen, Magnus T., Kenneth Fung, Nay Aung, et al.. (2019). Changes in Cardiac Morphology and Function in Individuals With Diabetes Mellitus. Circulation Cardiovascular Imaging. 12(9). e009476–e009476. 44 indexed citations
11.
Aung, Nay, Mihir M. Sanghvi, Filip Zemrak, et al.. (2018). Association Between Ambient Air Pollution and Cardiac Morpho-Functional Phenotypes. Circulation. 138(20). 2175–2186. 74 indexed citations
12.
Beyer, Sebastian E., Mihir M. Sanghvi, Nay Aung, et al.. (2018). Prospective association between handgrip strength and cardiac structure and function in UK adults. PLoS ONE. 13(3). e0193124–e0193124. 38 indexed citations
13.
Suinesiaputra, Avan, Mihir M. Sanghvi, Nay Aung, et al.. (2017). Fully-automated left ventricular mass and volume MRI analysis in the UK Biobank population cohort: evaluation of initial results. International journal of cardiac imaging. 34(2). 281–291. 38 indexed citations
14.
Petersen, Steffen E., Nay Aung, Mihir M. Sanghvi, et al.. (2016). Reference ranges for cardiac structure and function using cardiovascular magnetic resonance (CMR) in Caucasians from the UK Biobank population cohort. Journal of Cardiovascular Magnetic Resonance. 19(1). 18–18. 397 indexed citations breakdown →
15.
Pellicori, Pierpaolo, Elena Lukaschuk, Christos V. Bourantas, et al.. (2013). Clinical significance of left atrial ejection fraction measured by MRI in patients with suspected heart failure. European Heart Journal. 34(suppl 1). P1492–P1492. 1 indexed citations
16.
Bourantas, Christos V., Huan Loh, Elena Lukaschuk, et al.. (2012). Renal Artery Stenosis: An Innocent Bystander or an Independent Predictor of Worse Outcome in Patients with Chronic Heart Failure? A Magnetic Resonance Imaging Study. European Journal of Heart Failure. 14(7). 764–772. 11 indexed citations
17.
Bourantas, Christos V., Nikolay P. Nikitin, Huan Loh, et al.. (2011). Prevalence of scarred and dysfunctional myocardium in patients with heart failure of ischaemic origin: A cardiovascular magnetic resonance study. Journal of Cardiovascular Magnetic Resonance. 13(1). 53–53. 17 indexed citations
18.
Bourantas, Christos V., Huan Loh, Thanjavur Bragadeesh, et al.. (2010). Relationship Between Right Ventricular Volumes Measured by Cardiac Magnetic Resonance Imaging and Prognosis in Patients with Chronic Heart Failure. European Journal of Heart Failure. 13(1). 52–60. 67 indexed citations
19.
Nikitin, Nikolay P., et al.. (2006). New generation 3-dimensional echocardiography for left ventricular volumetric and functional measurements: Comparison with cardiac magnetic resonance. European Journal of Echocardiography. 7(5). 365–372. 63 indexed citations
20.
Nikitin, Nikolay P., Poay Huan Loh, Ramesh de Silva, et al.. (2005). Left ventricular morphology, global and longitudinal function in normal older individuals: A cardiac magnetic resonance study. International Journal of Cardiology. 108(1). 76–83. 55 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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