Elena Lukaschuk
- Cardiology and Cardiovascular Medicine top 2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Pulmonary and Respiratory Medicine
- Surgery
- Biomedical Engineering
- Co-authors
- Stefan K. PiechnikStefan NeubauerNay AungValentina CarapellaSteffen E. PetersenMihir M. SanghviJosé Miguel PaivaKenneth Fung
- Topics
- Cardiac Imaging and Diagnostics (22 papers)Cardiovascular Function and Risk Factors (20 papers)Advanced MRI Techniques and Applications (10 papers)
- Cited by
- Cardiology and Cardiovascular MedicineRadiology, Nuclear Medicine and ImagingHealth Informatics
- Partner nations
- United KingdomUnited StatesSouth Korea
In The Last Decade
Elena Lukaschuk
36 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Cardiology and Cardiovascular Medicine 856
- Radiology, Nuclear Medicine and Imaging 610
- Pulmonary and Respiratory Medicine 163
- Surgery 95
- Biomedical Engineering 92
Countries citing papers authored by Elena Lukaschuk
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 31 | |
| 7 | 18 | |
| 8 | 24 | |
| 9 | 39 | |
| 10 | 15 | |
| 11 | 3 | |
| 12 | 38 | |
| 13 | 5 | |
| 14 | 38 | |
| 15 | Reference ranges for cardiac structure and function using cardiovascular magnetic resonance (CMR) in Caucasians from the UK Biobank population cohortbreakdown → | 397 |
| 16 | 11 | |
| 17 | 3 | |
| 18 | 17 | |
| 19 | 67 | |
| 20 | 55 |
About Elena Lukaschuk
Elena Lukaschuk is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 39 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (22 papers), Cardiovascular Function and Risk Factors (20 papers) and Advanced MRI Techniques and Applications (10 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (856 citations), Radiology, Nuclear Medicine and Imaging (610 citations) and Health Informatics (23 citations). Elena Lukaschuk has collaborated with scholars based in United Kingdom, United States and South Korea. Frequent co-authors include Stefan K. Piechnik, Stefan Neubauer, Nay Aung, Valentina Carapella, Steffen E. Petersen, Mihir M. Sanghvi, José Miguel Paiva, Kenneth Fung, Aaron M. Lee and Filip Zemrak. Their work appears in journals such as Circulation, PLoS ONE and European Heart Journal.
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.