Catherine Jaïs

20 total papers · 486 total citations
11 papers, 313 citations indexed

About

Catherine Jaïs is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Catherine Jaïs has authored 11 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cardiology and Cardiovascular Medicine, 6 papers in Surgery and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Catherine Jaïs's work include Acute Myocardial Infarction Research (5 papers), Atrial Fibrillation Management and Outcomes (4 papers) and Coronary Interventions and Diagnostics (3 papers). Catherine Jaïs is often cited by papers focused on Acute Myocardial Infarction Research (5 papers), Atrial Fibrillation Management and Outcomes (4 papers) and Coronary Interventions and Diagnostics (3 papers). Catherine Jaïs collaborates with scholars based in France and United States. Catherine Jaïs's co-authors include Pierre Coste, Stéphane Lafitte, Xavier Pillois, Anthony N. DeMaria, R Roudaut, Lionel Leroux, Pierre Jaı̈s, Mélèze Hocini, Michel Haı̈ssaguerre and Pierre Dos Santos and has published in prestigious journals such as Journal of the American College of Cardiology, The American Journal of Cardiology and Thrombosis and Haemostasis.

In The Last Decade

Catherine Jaïs

11 papers receiving 290 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Catherine Jaïs 268 98 76 73 34 11 313
Ajit V. Adyanthaya 251 0.9× 86 0.9× 108 1.4× 58 0.8× 14 0.4× 13 345
John M. Burks 281 1.0× 60 0.6× 64 0.8× 53 0.7× 27 0.8× 14 365
Eric Berrios 287 1.1× 104 1.1× 83 1.1× 42 0.6× 89 2.6× 8 341
W N Hubbard 214 0.8× 103 1.1× 89 1.2× 44 0.6× 36 1.1× 13 330
Guido Vittori 266 1.0× 254 2.6× 83 1.1× 39 0.5× 77 2.3× 14 344
Serge Makowski 146 0.5× 74 0.8× 30 0.4× 53 0.7× 128 3.8× 14 222
J. Halperin 287 1.1× 70 0.7× 26 0.3× 50 0.7× 90 2.6× 9 331
Jörg Larsen 95 0.4× 82 0.8× 33 0.4× 35 0.5× 30 0.9× 12 305
Aristides Androulakis 271 1.0× 103 1.1× 103 1.4× 36 0.5× 11 0.3× 15 348
José Luis Alonso-Martínez 220 0.8× 47 0.5× 18 0.2× 73 1.0× 102 3.0× 14 314

Countries citing papers authored by Catherine Jaïs

Since Specialization
Citations

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

Fields of papers citing papers by Catherine Jaïs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Catherine Jaïs

This figure shows the co-authorship network connecting the top 25 collaborators of Catherine Jaïs. A scholar is included among the top collaborators of Catherine Jaïs 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 Catherine Jaïs. Catherine Jaïs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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