V. Gaxotte

1.7k total citations
35 papers, 1.0k citations indexed

About

V. Gaxotte is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, V. Gaxotte has authored 35 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Pulmonary and Respiratory Medicine, 13 papers in Surgery and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in V. Gaxotte's work include Aortic aneurysm repair treatments (14 papers), Renal and Vascular Pathologies (12 papers) and Aortic Disease and Treatment Approaches (10 papers). V. Gaxotte is often cited by papers focused on Aortic aneurysm repair treatments (14 papers), Renal and Vascular Pathologies (12 papers) and Aortic Disease and Treatment Approaches (10 papers). V. Gaxotte collaborates with scholars based in France, United States and Netherlands. V. Gaxotte's co-authors include Jean-Paul Bérégi, Christophe Lions, S. Willoteaux, Stéphan Haulon, Mohamad Koussa, Claire Mounier‐Véhier, Patrick Devos, Pascal de Groote, Nicolas Lamblin and É. Hachulla and has published in prestigious journals such as Radiology, European Heart Journal and Annals of the Rheumatic Diseases.

In The Last Decade

V. Gaxotte

32 papers receiving 989 citations

Peers

V. Gaxotte
Comparison fields: 5 of 54
  • Pulmonary and Respiratory Medicine 797
  • Surgery 369
  • Cardiology and Cardiovascular Medicine 338
  • Pathology and Forensic Medicine 172
  • Radiology, Nuclear Medicine and Imaging 114
Replace Gregory A. Kuzmik with:
Gregory A. Kuzmik United States
William M. Clark United States
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Nobuaki Suzuki Japan
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Gregory A. Kuzmik United States View profile →
Citations per field, relative to V. Gaxotte
V. Gaxotte · 1×
Citations per year, relative to V. Gaxotte
V. Gaxotte · 1×

Countries citing papers authored by V. Gaxotte

Since Specialization
Citations

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

Fields of papers citing papers by V. Gaxotte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Gaxotte

This figure shows the co-authorship network connecting the top 25 collaborators of V. Gaxotte. A scholar is included among the top collaborators of V. Gaxotte based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with V. Gaxotte. V. Gaxotte is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 23
2 45
3 3
4 196
5
Atteinte cardiaque de la sclérodermie systémique
0
6 47
7 2
8 4
9 7
10 1
11 41
12 10
13 4
14 51
15 8
16 65
17 43
18 32
19 78
20 39

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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