Benoît Ghaye

1.6k citations
54 papers · 849 · h-index 16

Impact in

Papers in

Benoît Ghaye

45 papers receiving 819 citations

Peers

Benoît Ghaye
Comparison fields: 5 of 73
  • Nephrology 77
  • Cardiology and Cardiovascular Medicine 176
  • Neurology 118
  • Pulmonary and Respiratory Medicine 233
  • Radiology, Nuclear Medicine and Imaging 140
Replace Min Jae with:
Min Jae South Korea
Arfa Khan United States
Hirotsugu Munechika Japan
J.P. Laissy France
Jordan L. Rosenstock United States
Cesare Mantini Italy
Javier El‐Bietar United States
Chagai Grossman Israel
Mehmet Şeker Türkiye
Manisha Jana India
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Citations per field
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Citations per year

Countries citing papers authored by Benoît Ghaye

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Ghaye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003141
2 200492
3 202180
4 200477
5 202049
6 202144
7 202033
8 202327
9 201225
10 200823
11 201623
12 202122
13 200819
14 201919
15 201917
16 202316
17 202115
18 200912
19 201811
20 201711

About Benoît Ghaye

Benoît Ghaye is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Surgery, Oncology and Epidemiology, having authored 54 papers that have together received 849 indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (8 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (7 papers), Medical Imaging and Pathology Studies (6 papers), Cardiac tumors and thrombi (4 papers), Colorectal Cancer Treatments and Studies (4 papers), Atrial Fibrillation Management and Outcomes (4 papers), Pleural and Pulmonary Diseases (4 papers) and Vascular anomalies and interventions (4 papers). The work is most often cited by research in Nephrology (77 citations), Cardiology and Cardiovascular Medicine (176 citations), Neurology (118 citations), Pulmonary and Respiratory Medicine (233 citations) and Radiology, Nuclear Medicine and Imaging (140 citations). Benoît Ghaye has collaborated with scholars based in Belgium, Germany and France. Frequent co-authors include Carl Timmermans, Luz‐Maria Rodriguez, Antoine Froidure, Delphine Hoton, Hung‐Fat Tse, Jean Cyr Yombi, Gregory M. Ayers, Chu‐Pak Lau, Sven Reek and J. Christoph Geller. Their work appears in journals such as European Radiology, Diagnostic and Interventional Imaging, The Lancet, Journal of the American College of Cardiology and ERJ Open Research.

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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