Renata Chequer

9 papers receiving 246 citations

Peers

Renata Chequer
Comparison fields: 5 of 37
  • Cardiology and Cardiovascular Medicine 100
  • Epidemiology 130
  • Surgery 93
  • Nephrology 14
  • Radiology, Nuclear Medicine and Imaging 40
Replace Uditha Bulugahapitiya with:
Uditha Bulugahapitiya Sri Lanka
Waiel Abusnina United States
Yoan Lavie‐Badie France
Saberio Lo Presti United States
Pierangelo Renella United States
Daniela Riggio Italy
Yu Jeong Choi South Korea
Seiko Kuwata Japan
Nicolas Dürrleman France
See‐Wei Low United States
Renata Chequer relative to Uditha Bulugahapitiya Sri Lanka Uditha Bulugahapitiya's profile →
Citations per field
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Uditha Bulugahapitiya · 1×
Citations per year

Countries citing papers authored by Renata Chequer

Since Specialization
Citations

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

Fields of papers citing papers by Renata Chequer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2014151
2 201833
3 201831
4 201918
5 20238
6 20158
7 20155
8 20112
9 20181

About Renata Chequer

Renata Chequer is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Biomedical Engineering, Materials Chemistry and Molecular Biology, having authored 9 papers that have together received 257 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (3 papers), Advanced X-ray and CT Imaging (2 papers), Lanthanide and Transition Metal Complexes (1 paper), Infective Endocarditis Diagnosis and Management (1 paper), Chemotherapy-induced cardiotoxicity and mitigation (1 paper), Machine Learning in Materials Science (1 paper), Cardiac pacing and defibrillation studies (1 paper) and Radiation Dose and Imaging (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (100 citations), Epidemiology (130 citations), Surgery (93 citations), Nephrology (14 citations) and Radiology, Nuclear Medicine and Imaging (40 citations). Renata Chequer has collaborated with scholars based in France, Italy and Switzerland. Frequent co-authors include Dominique Le Guludec, François Rouzet, Fabien Hyafil, Khadija Benali, Laurent Lepage, Bernard Iung, Alec Vahanian, Walid Ghodbane, Xavier Duval and Vincent Algalarrondo. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, European Heart Journal - Cardiovascular Imaging, Journal of Nuclear Medicine, Orphanet Journal of Rare Diseases and Cardiovascular Diabetology.

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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