Eva Maret

915 citations
45 papers · 610 · h-index 15

Impact in

Papers in

Eva Maret

43 papers receiving 604 citations

Peers

Eva Maret
Comparison fields: 5 of 71
  • Cardiology and Cardiovascular Medicine 320
  • Radiology, Nuclear Medicine and Imaging 161
  • Surgery 68
  • Endocrinology, Diabetes and Metabolism 23
  • Epidemiology 41
Replace Gary Heller with:
Gary Heller United States
Pranas Šerpytis Lithuania
Sigita Glaveckaitė Lithuania
Nicholas Child United Kingdom
Nina E. Hasselberg Norway
Fabrice Larrazet France
Parijat S. Joy United States
Jesse Naghi United States
Su San Liem Netherlands
Romalisa Miranda-Peats United States
Eva Maret relative to Gary Heller United States Gary Heller's profile →
Citations per field
00.5×10×13.3×
Gary Heller · 1×
Citations per year

Countries citing papers authored by Eva Maret

Since Specialization
Citations

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

Fields of papers citing papers by Eva Maret

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eva Maret, 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 Eva Maret Line = papers co-authored together Eva Maret links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009103
2 202154
3 201543
4 201940
5 201633
6 201831
7 201729
8 201725
9 202025
10 202024
11 201622
12 201518
13 200816
14 201716
15 201914
16 202113
17 202012
18 202210
19 20248
20 20228

About Eva Maret

Eva Maret is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Epidemiology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 45 papers that have together received 610 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (10 papers), Cardiovascular Function and Risk Factors (7 papers), Cardiac Valve Diseases and Treatments (4 papers), Advanced MRI Techniques and Applications (4 papers), Cardiovascular Effects of Exercise (3 papers), Cardiomyopathy and Myosin Studies (3 papers), Cardiac Ischemia and Reperfusion (2 papers) and Infective Endocarditis Diagnosis and Management (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (320 citations), Radiology, Nuclear Medicine and Imaging (161 citations), Surgery (68 citations), Endocrinology, Diabetes and Metabolism (23 citations) and Epidemiology (41 citations). Eva Maret has collaborated with scholars based in Sweden, United States and Australia. Frequent co-authors include Jan Engvall, Lars Brudin, Jan Ohlsson, Eva Nylander, Tim Tödt, Eva Swahn, Maria J. Eriksson, Elisabeth Ericsson, Shams Y‐Hassan and Martin Ugander. Their work appears in journals such as Cardiovascular Ultrasound, Clinical Physiology and Functional Imaging, Journal of Cardiovascular Magnetic Resonance, Scientific Reports and BMC Cardiovascular Disorders.

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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