Stéphane Noble

3.5k citations
135 papers · 2.1k · h-index 27

Impact in

Papers in

Stéphane Noble

123 papers receiving 2.1k citations

Peers

Stéphane Noble
Comparison fields: 5 of 85
  • Cardiology and Cardiovascular Medicine 1.2k
  • Internal Medicine 84
  • Epidemiology 495
  • Surgery 626
  • Pulmonary and Respiratory Medicine 420
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Alexander Kulik United States
Marco De Carlo Italy
Hunaid A. Vohra United Kingdom
Prem Shekar United States
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Citations per field
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Citations per year

Countries citing papers authored by Stéphane Noble

Since Specialization
Citations

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

Fields of papers citing papers by Stéphane Noble

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 135 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014180
2 2014146
3 199885
4 201578
5 200975
6 201869
7 201466
8 200960
9 201455
10 202054
11 200852
12 201349
13 201748
14 201742
15 202141
16 201235
17 201033
18 201833
19 201732
20 200832

About Stéphane Noble

Stéphane Noble is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Surgery, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 135 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (54 papers), Coronary Interventions and Diagnostics (23 papers), Infective Endocarditis Diagnosis and Management (23 papers), Cardiac Imaging and Diagnostics (18 papers), Aortic Disease and Treatment Approaches (13 papers), Cardiovascular and Diving-Related Complications (12 papers), Pulmonary Hypertension Research and Treatments (10 papers) and Cardiovascular Function and Risk Factors (10 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.2k citations), Internal Medicine (84 citations), Epidemiology (495 citations), Surgery (626 citations) and Pulmonary and Respiratory Medicine (420 citations). Stéphane Noble has collaborated with scholars based in Switzerland, Canada and United States. Frequent co-authors include Marco Roffi, Réda Ibrahim, Stephan Windecker, Peter Wenaweser, Dik Heg, Thomas Pilgrim, Peter Jüni, Stefan Toggweiler, Raban Jeger and Hajo Müller. Their work appears in journals such as Canadian Journal of Cardiology, EuroIntervention, JACC: Cardiovascular Interventions, Catheterization and Cardiovascular Interventions and Journal of the American College of Cardiology.

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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