Fabien Huet

764 total citations
22 papers, 268 citations indexed

About

Fabien Huet is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Fabien Huet has authored 22 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cardiology and Cardiovascular Medicine, 6 papers in Surgery and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Fabien Huet's work include Lipoproteins and Cardiovascular Health (4 papers), Heart Failure Treatment and Management (4 papers) and Cardiac electrophysiology and arrhythmias (4 papers). Fabien Huet is often cited by papers focused on Lipoproteins and Cardiovascular Health (4 papers), Heart Failure Treatment and Management (4 papers) and Cardiac electrophysiology and arrhythmias (4 papers). Fabien Huet collaborates with scholars based in France, Italy and United States. Fabien Huet's co-authors include François Roubille, Mariama Akodad, Alain Lacampagne, Jérémy Fauconnier, Florence Leclercq, Anne‐Marie Dupuy, Jean‐Paul Cristol, Pierre Sicard, Mirko Grimaldi and Nils Kuster and has published in prestigious journals such as Journal of Hepatology, Intensive Care Medicine and International Journal of Cardiology.

In The Last Decade

Fabien Huet

22 papers receiving 266 citations

Peers

Fabien Huet
Comparison fields: 5 of 68
  • Cardiology and Cardiovascular Medicine 107
  • Molecular Biology 64
  • Surgery 50
  • Immunology 46
  • Epidemiology 35
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Shivda Pandey United States
Namık Özmen Türkiye
Fuxue Deng China
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Luděk Slavík Czechia
Lütfü Aşkın Türkiye
Luiz Menezes Falcão Portugal
Yuko Shibuya Japan
Abdelrahman Zamzam Canada
Nishith K. Singh United States
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Citations per field, relative to Fabien Huet
Fabien Huet · 1×
Citations per year, relative to Fabien Huet
Fabien Huet · 1×

Countries citing papers authored by Fabien Huet

Since Specialization
Citations

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

Fields of papers citing papers by Fabien Huet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabien Huet

This figure shows the co-authorship network connecting the top 25 collaborators of Fabien Huet. A scholar is included among the top collaborators of Fabien Huet 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 Fabien Huet. Fabien Huet 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 16
2 2
3 1
4 3
5 7
6 2
7 11
8 1
9 39
10 40
11 7
12 10
13 11
14 2
15 6
16 54
17 4
18 18
19 2
20 24

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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