Maja Čikeš

43.9k total citations
90 papers, 1.9k citations indexed

About

Maja Čikeš is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Maja Čikeš has authored 90 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Cardiology and Cardiovascular Medicine, 23 papers in Surgery and 23 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Maja Čikeš's work include Cardiovascular Function and Risk Factors (47 papers), Cardiac Imaging and Diagnostics (18 papers) and Heart Failure Treatment and Management (17 papers). Maja Čikeš is often cited by papers focused on Cardiovascular Function and Risk Factors (47 papers), Cardiac Imaging and Diagnostics (18 papers) and Heart Failure Treatment and Management (17 papers). Maja Čikeš collaborates with scholars based in Croatia, United States and United Kingdom. Maja Čikeš's co-authors include Scott D. Solomon, Bart Bijnens, George R. Sutherland, Jan D’hooge, Ling Tong, Brian Claggett, Georg Ertl, Frank Weidemann, Sebastian Herrmann and Davor Miličić and has published in prestigious journals such as New England Journal of Medicine, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Maja Čikeš

80 papers receiving 1.8k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Maja Čikeš 1.3k 514 311 262 227 90 1.9k
Robert J.H. Miller 845 0.7× 930 1.8× 479 1.5× 510 1.9× 202 0.9× 194 2.0k
Subhi J. Al’Aref 560 0.4× 251 0.5× 373 1.2× 216 0.8× 113 0.5× 76 1.2k
Reza Arsanjani 1.1k 0.9× 1.1k 2.2× 548 1.8× 408 1.6× 91 0.4× 175 2.1k
Brandon K. Fornwalt 1.2k 0.9× 619 1.2× 236 0.8× 137 0.5× 77 0.3× 80 1.9k
Panithaya Chareonthaitawee 1.7k 1.3× 1.4k 2.8× 731 2.4× 291 1.1× 462 2.0× 114 3.2k
Christian Knackstedt 1.4k 1.1× 451 0.9× 259 0.8× 186 0.7× 77 0.3× 105 1.8k
Christopher M. Haggerty 1.2k 0.9× 403 0.8× 510 1.6× 257 1.0× 124 0.5× 103 2.0k
Sebastiaan C.A.M. Bekkers 1.3k 1.0× 1.1k 2.2× 436 1.4× 236 0.9× 112 0.5× 86 2.0k
Alaa Mabrouk Salem Omar 844 0.7× 610 1.2× 176 0.6× 116 0.4× 45 0.2× 55 1.2k
Andrea Igoren Guaricci 1.0k 0.8× 1.0k 2.0× 416 1.3× 367 1.4× 98 0.4× 154 1.8k

Countries citing papers authored by Maja Čikeš

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
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Jüni, Peter, Sotiris Antoniou, Elena Arbelo, et al.. (2025). 2024 Revision of the level of evidence grading system for ESC clinical practice guideline recommendations I: therapy and prevention. European Heart Journal. 46(20). 1885–1894. 7 indexed citations
3.
Samardžić, Jure, et al.. (2024). Treatment of advanced heart failure. Cardiologia Croatica. 19(7-8). 270–293. 1 indexed citations
4.
Wang, Xiaowen, Maria Pabón, Maja Čikeš, et al.. (2024). Sex Differences in Cardiac Structure and Function Following Acute Myocardial Infarction: Insights from the PARADISE-MI Echocardiographic Substudy. European Journal of Heart Failure. 27(5). 788–799. 2 indexed citations
5.
Lu, Henri, Riccardo M. Inciardi, Martin Hongieh Abanda, et al.. (2023). Abstract 13706: Determinants of Right Ventricular Dysfunction in Patients With Heart Failure With Preserved Ejection Fraction: The PARAGON-HF Trial Experience. Circulation. 148(Suppl_1). 2 indexed citations
6.
Gašparović, Hrvoje, Davor Miličić, Maja Hrabak Paar, et al.. (2023). HeartMate 3 Biventricular Support Exceeding 4.5 Years. ESC Heart Failure. 10(3). 2094–2098. 7 indexed citations
7.
Wang, Xiaowen, Karola Jering, Maja Čikeš, et al.. (2023). Sex Differences in Clinical Characteristics and Outcomes After Myocardial Infarction With Low Ejection Fraction: Insights From PARADISE‐MI. Journal of the American Heart Association. 12(17). e028942–e028942. 10 indexed citations
8.
Shah, Amil M., Brian Claggett, Narayana Prasad, et al.. (2022). Impact of Sacubitril/Valsartan Compared With Ramipril on Cardiac Structure and Function After Acute Myocardial Infarction: The PARADISE-MI Echocardiographic Substudy. Circulation. 146(14). 1067–1081. 32 indexed citations
9.
Planinc, Ivo, Filip Lončarić, Marijan Pašalić, et al.. (2022). Design and initiation of the Croatian Transthyretin Cardiac Amyloidosis Registry. Cardiologia Croatica. 17(9-10). 274–274.
10.
Čikeš, Maja, et al.. (2020). COVID-19 i bolesnici sa zatajivanjem srca. University of Zagreb University Computing Centre (SRCE). 1 indexed citations
11.
Feeny, Albert, Mina K. Chung, Anant Madabhushi, et al.. (2020). Artificial Intelligence and Machine Learning in Arrhythmias and Cardiac Electrophysiology. Circulation Arrhythmia and Electrophysiology. 13(8). e007952–e007952. 138 indexed citations
12.
Velagić, Vedran, Giacomo Mugnai, Davor Puljević, et al.. (2020). Intra-procedural three-dimensional rotational angiography in cryoballoon ablation for atrial fibrillation. International journal of cardiac imaging. 37(2). 389–397. 1 indexed citations
13.
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Liu, Danfeng, Kai Hu, Stefan Störk, et al.. (2014). Predictive value of systolic and diastolic strain rate for survival in cardiac amyloidosis patients with preserved ejection fraction. European Heart Journal. 35. 339–339. 1 indexed citations
15.
Čikeš, Maja, et al.. (2013). Differential regional adaptation to acute left ventricular afterload increase with retained pericardial constraint. European Heart Journal - Cardiovascular Imaging. 14. 1 indexed citations
16.
Niemann, Markus, Dan Liu, Kai Hu, et al.. (2012). Echocardiographic Quantification of Regional Deformation Helps to Distinguish Isolated Left Ventricular Non-Compaction from Dilated Cardiomyopathy. European Journal of Heart Failure. 14(2). 155–161. 33 indexed citations
17.
Lončarić, Sven, et al.. (2011). Model-based segmentation of aortic ultrasound images. 739–743. 2 indexed citations
18.
Čikeš, Maja, Volkmar Lange, Sven Lončarić, et al.. (2009). Does the aortic velocity profile in aortic stenosis patients reflect more than stenosis severity? The impact of myocardial fibrosis on aortic flow symmetry. European Heart Journal. 30. 605–605. 2 indexed citations
19.
Čikeš, Maja, Aigul Baltabaeva, Sven Lončarić, et al.. (2007). Is there a relation between the shape of the aortic outflow velocity profile and contractile function in coronary artery disease? A dobutamine stress echo study. 65. 1 indexed citations
20.
Hanževački, Jadranka Šeparović, et al.. (2004). DO LATE DIASTOLIC PARAMETERS CHANGE IN MILD HYPERTENSIVE HEART DISEASE? - TISSUE DOPPLER STUDY. European Heart Journal - Cardiovascular Imaging. 46. 1 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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