Ivan Cokic

1.8k citations
39 papers · 1.4k indexed · h-index 18

Impact in

Papers in

Ivan Cokic

38 papers receiving 1.4k citations

Peers

Ivan Cokic
Comparison fields: 5 of 80
  • Cardiology and Cardiovascular Medicine 656
  • Radiology, Nuclear Medicine and Imaging 312
  • Nephrology 87
  • Immunology and Allergy 67
  • Endocrinology, Diabetes and Metabolism 167
Replace Andreas Edsfeldt with:
Andreas Edsfeldt Sweden
Wanda S. LeJeune United States
Maximilian Schultheiß Germany
Randolph Hutter United States
Timo Savunen Finland
Joji Nitobe Japan
Qingwei Ji China
Yukun Luo China
Valerio Pittoni Italy
Philipp Ehlermann Germany
Ivan Cokic relative to Andreas Edsfeldt Sweden Andreas Edsfeldt's profile →
Citations per field
00.5×6.2×
Andreas Edsfeldt · 1×
Citations per year

Countries citing papers authored by Ivan Cokic

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Cokic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ivan Cokic, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ivan Cokic Line = papers co-authored together Ivan Cokic links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006392
2 201090
3 201186
4 201378
5 201372
6 201567
7 200859
8 201055
9 201449
10 200943
11 201042
12 201540
13 201637
14 201135
15 200832
16 200930
17 201524
18 201224
19 201317
20 201417

About Ivan Cokic

Ivan Cokic is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Molecular Biology, Cell Biology and Biomedical Engineering, having authored 39 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (16 papers), Advanced MRI Techniques and Applications (13 papers), Cardiac electrophysiology and arrhythmias (8 papers), Cardiac Arrhythmias and Treatments (6 papers), Atrial Fibrillation Management and Outcomes (6 papers), Medical Imaging Techniques and Applications (4 papers), Cardiovascular Function and Risk Factors (4 papers) and S100 Proteins and Annexins (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (656 citations), Radiology, Nuclear Medicine and Imaging (312 citations), Nephrology (87 citations), Immunology and Allergy (67 citations) and Endocrinology, Diabetes and Metabolism (167 citations). Ivan Cokic has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Konstantin G. Birukov, Anna A. Birukova, Daniel Batlle, Jan Wysocki, Minghao Ye, Josette William, María José Soler, Rohan Dharmakumar, Panfeng Fu and Avinash Kali. Their work appears in journals such as Journal of Cardiovascular Magnetic Resonance, Circulation Cardiovascular Imaging, American Journal of Physiology-Lung Cellular and Molecular Physiology, Circulation and JACC. Cardiovascular imaging.

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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