Daisy Thijs

635 citations
11 papers · 472 · h-index 8

Impact in

Papers in

Daisy Thijs

11 papers receiving 463 citations

Peers

Daisy Thijs
Comparison fields: 5 of 50
  • Cardiology and Cardiovascular Medicine 253
  • Genetics 65
  • Epidemiology 102
  • Molecular Biology 188
  • Surgery 121
Replace Hirofumi Tomimatsu with:
Hirofumi Tomimatsu Japan
Cathy J. Hatcher United States
Suguru Tarui Japan
Julia Dorfman Canada
Jacquelyn D. Lajiness United States
Willem G. de Voogt Netherlands
Tsutomu Matsushita Japan
Rachel A. Peat Australia
Zhyldyz Kabaeva United States
Lincai Ye China
Daisy Thijs relative to Hirofumi Tomimatsu Japan Hirofumi Tomimatsu's profile →
Citations per field
00.5×1.5×
Hirofumi Tomimatsu · 1×
Citations per year

Countries citing papers authored by Daisy Thijs

Since Specialization
Citations

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

Fields of papers citing papers by Daisy Thijs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 200898
2 201185
3 200979
4 200877
5 200665
6 200748
7 20128
8 20058
9
Ultrasonic strain and strain rate imaging: a new tool to quantify regional myocardial function in mice
20042
10
Intracoronary mesenchymal stem cell or endothelial progenitor cell transfer post myocardial infarction prevents negative remodeling but fails to enhance global functional recovery
20061
11 20081

About Daisy Thijs

Daisy Thijs is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Surgery, Biomedical Engineering and Genetics, having authored 11 papers that have together received 472 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (5 papers), Muscle Physiology and Disorders (3 papers), Cardiac Structural Anomalies and Repair (2 papers), Cardiomyopathy and Myosin Studies (2 papers), Elasticity and Material Modeling (2 papers), Viral Infections and Immunology Research (1 paper), Mesenchymal stem cell research (1 paper) and Genetic Mapping and Diversity in Plants and Animals (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (253 citations), Genetics (65 citations), Epidemiology (102 citations), Molecular Biology (188 citations) and Surgery (121 citations). Daisy Thijs has collaborated with scholars based in Belgium, Netherlands and Germany. Frequent co-authors include Luc Mertens, Piet Claus, Jan D’hooge, Gunnar Buyse, Nathalie Goemans, Bart Bijnens, George R. Sutherland, Javier Gáname, Caroline Ovaert and Ulrike Schara. Their work appears in journals such as European Heart Journal, Neuromuscular Disorders, Journal of the American Society of Echocardiography, Nature Genetics and European Heart Journal - 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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