Constance Verdonk

559 citations
21 papers · 124 · h-index 7

Impact in

Papers in

Constance Verdonk

19 papers receiving 122 citations

Peers

Constance Verdonk
Comparison fields: 5 of 46
  • Cardiology and Cardiovascular Medicine 72
  • Epidemiology 50
  • Microbiology 1
  • Experimental and Cognitive Psychology 12
  • Infectious Diseases 17
Replace Matthias Welsner with:
Matthias Welsner Germany
T Mendonca Brazil
Álvaro Marchán-López Spain
Efthimia Kalampouka Greece
Salman Allana United States
Javier Tobar Spain
George Joy United Kingdom
Vincent C. Thomas United States
Stefano De Vivo Italy
Miroslawa Gorecka United Kingdom
Constance Verdonk relative to Matthias Welsner Germany Matthias Welsner's profile →
Citations per field
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Matthias Welsner · 1×
Citations per year

Countries citing papers authored by Constance Verdonk

Since Specialization
Citations

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

Fields of papers citing papers by Constance Verdonk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201722
2 201720
3 202218
4 201913
5 201710
6 20178
7 20217
8 20235
9 20185
10 20133
11 20172
12 20232
13 20172
14 20152
15 20171
16 20171
17 20181
18 20171
19 20221
20 20250

About Constance Verdonk

Constance Verdonk is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Surgery, Pulmonary and Respiratory Medicine and Infectious Diseases, having authored 21 papers that have together received 124 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (9 papers), Infective Endocarditis Diagnosis and Management (7 papers), Cardiovascular Function and Risk Factors (4 papers), Cardiac Imaging and Diagnostics (3 papers), Aortic Disease and Treatment Approaches (3 papers), Cardiac Structural Anomalies and Repair (2 papers), Transplantation: Methods and Outcomes (2 papers) and Bone health and treatments (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (72 citations), Epidemiology (50 citations), Microbiology (1 citation), Experimental and Cognitive Psychology (12 citations) and Infectious Diseases (17 citations). Constance Verdonk has collaborated with scholars based in France, United States and Burkina Faso. Frequent co-authors include David Messika‐Zeitoun, Claire Cimadevilla, Alec Vahanian, Patrick Nataf, Éric Brochet, Richard Raffoul, Virginia Nguyen, Laurent Lepage, Walid Ghodbane and Dimitri Arangalage. Their work appears in journals such as Archives of cardiovascular diseases, European Heart Journal - Cardiovascular Imaging, Cardiovascular Pathology, Clinical Infectious Diseases and Annals of the Rheumatic Diseases.

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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