Cécile Dufour

851 citations
27 papers · 490 · h-index 11

Impact in

Papers in

Cécile Dufour

26 papers receiving 466 citations

Peers

Cécile Dufour
Comparison fields: 5 of 73
  • Cardiology and Cardiovascular Medicine 286
  • Signal Processing 56
  • Biochemistry 27
  • Cell Biology 48
  • Molecular Biology 176
Replace Adriana Garcia with:
Adriana Garcia United States
Guoli Wang China
Xiaona Zhou China
Marcel G. Brown United States
Swati Jain Canada
Ruogu Li China
Laura Anderlucci Italy
Зоран Николовски Spain
Tingting Meng China
Maryam Moussavi Canada
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Citations per field
00.5×2×4×6×8.2×
Adriana Garcia · 1×
Citations per year

Countries citing papers authored by Cécile Dufour

Since Specialization
Citations

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

Fields of papers citing papers by Cécile Dufour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199783
2 199375
3 200154
4 199845
5 199241
6 202234
7 200024
8 199823
9 202017
10 199414
11 199210
12 20087
13 20217
14 20207
15 20107
16 20206
17 20026
18 20155
19 20135
20 20154

About Cécile Dufour

Cécile Dufour is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition and Signal Processing, having authored 27 papers that have together received 490 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (7 papers), Aortic aneurysm repair treatments (6 papers), Cardiac, Anesthesia and Surgical Outcomes (4 papers), Genomics, phytochemicals, and oxidative stress (4 papers), RNA Research and Splicing (4 papers), Phytochemicals and Antioxidant Activities (2 papers), Aortic Disease and Treatment Approaches (2 papers) and Video Coding and Compression Technologies (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (286 citations), Signal Processing (56 citations), Biochemistry (27 citations), Cell Biology (48 citations) and Molecular Biology (176 citations). Cécile Dufour has collaborated with scholars based in France, Denmark and Australia. Frequent co-authors include Lucie Carrier, Peter W. Gunning, Ron P. Weinberger, Michel Komajda, Olivier Dubourg, Sahar Al‐Mahdawi, Christian Hengstenberg, Christophe Furger, Galina Schevzov and Peter L. Jeffrey. Their work appears in journals such as Antioxidants, Journal of Molecular and Cellular Cardiology, Ultrasound in Medicine & Biology, Journal of Cardiology and Human Molecular Genetics.

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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