Maja Čikeš
- Cardiology and Cardiovascular Medicine top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Surgery top 10%
- Biomedical Engineering top 10%
- Molecular Biology
- Co-authors
- Scott D. SolomonBart BijnensGeorge R. SutherlandJan D’hoogeLing TongBrian ClaggettSebastian HerrmannGeorg Ertl
- Topics
- Cardiovascular Function and Risk Factors (47 papers)Cardiac Imaging and Diagnostics (18 papers)Heart Failure Treatment and Management (17 papers)
- Cited by
- Cardiology and Cardiovascular MedicineHealth InformaticsRadiology, Nuclear Medicine and Imaging
- Journals
- New England Journal of MedicineCirculationSHILAP Revista de lepidopterología
- Partner nations
- CroatiaUnited StatesUnited Kingdom
In The Last Decade
Maja Čikeš
80 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 124
- Cardiology and Cardiovascular Medicine 1.3k
- Radiology, Nuclear Medicine and Imaging 514
- Surgery 311
- Biomedical Engineering 262
- Molecular Biology 227
Countries citing papers authored by Maja Čikeš
This map shows the geographic impact of Maja Čikeš'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 Maja Čikeš with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maja Čikeš more than expected).
Fields of papers citing papers by Maja Čikeš
This network shows the impact of papers produced by Maja Čikeš. 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 Maja Čikeš. The network helps show where Maja Čikeš may publish in the future.
Co-authorship network of co-authors of Maja Čikeš
This figure shows the co-authorship network connecting the top 25 collaborators of Maja Čikeš. A scholar is included among the top collaborators of Maja Čikeš 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 Maja Čikeš. Maja Čikeš is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 7 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 31 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 10 | |
| 10 | 32 | |
| 11 | 0 | |
| 12 | COVID-19 i bolesnici sa zatajivanjem srca | 1 |
| 13 | 138 | |
| 14 | 1 | |
| 15 | 0 | |
| 16 | 33 | |
| 17 | Model-based segmentation of aortic ultrasound images | 2 |
| 18 | Does the aortic velocity profile in aortic stenosis patients reflect more than stenosis severity? The impact of myocardial fibrosis on aortic flow symmetry | 2 |
| 19 | Does symmetry of the aortic outflow velocity profile reflect contractile function in coronary artery disease? An automated analysis using mathematical modelling | 1 |
| 20 | DO LATE DIASTOLIC PARAMETERS CHANGE IN MILD HYPERTENSIVE HEART DISEASE? - TISSUE DOPPLER STUDY | 1 |
About Maja Čikeš
Maja Čikeš is a scholar working on Cardiology and Cardiovascular Medicine, Structural Biology and Transplantation, having authored 90 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (47 papers), Cardiac Imaging and Diagnostics (18 papers) and Heart Failure Treatment and Management (17 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.3k citations), Health Informatics (68 citations) and Radiology, Nuclear Medicine and Imaging (514 citations). Maja Čikeš has collaborated with scholars based in Croatia, United States and United Kingdom. Frequent co-authors include Scott D. Solomon, Bart Bijnens, George R. Sutherland, Jan D’hooge, Ling Tong, Brian Claggett, Sebastian Herrmann, Georg Ertl, Frank Weidemann and Davor Miličić. Their work appears in journals such as New England Journal of Medicine, Circulation and SHILAP Revista de lepidopterología.
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.