Jean‐Pierre Laissy

265 total papers · 4.8k total citations
134 papers, 3.2k citations indexed

About

Jean‐Pierre Laissy is a scholar working on Surgery, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jean‐Pierre Laissy has authored 134 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Surgery, 48 papers in Epidemiology and 44 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jean‐Pierre Laissy's work include Advanced MRI Techniques and Applications (25 papers), Infective Endocarditis Diagnosis and Management (25 papers) and Cardiac Imaging and Diagnostics (20 papers). Jean‐Pierre Laissy is often cited by papers focused on Advanced MRI Techniques and Applications (25 papers), Infective Endocarditis Diagnosis and Management (25 papers) and Cardiac Imaging and Diagnostics (20 papers). Jean‐Pierre Laissy collaborates with scholars based in France, United States and United Kingdom. Jean‐Pierre Laissy's co-authors include E. Schouman‐Claeys, Bernard Iung, Michel Wolff, Philippe Gabríel Steg, Xavier Duval, Jean‐Michel Serfaty, David Messika‐Zeitoun, Pierre Amarenco, Alec Vahanian and Marc Faraggi and has published in prestigious journals such as Circulation, PLoS ONE and Neurology.

In The Last Decade

Jean‐Pierre Laissy

125 papers receiving 3.1k citations

Author Peers

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

Author Last Decade Papers Cites
Jean‐Pierre Laissy 1.1k 1.1k 929 904 863 134 3.2k
B S Hertzberg 1.0k 0.9× 1.2k 1.1× 833 0.9× 2.1k 2.3× 1.2k 1.4× 124 4.7k
Alan H. Friedman 966 0.9× 498 0.5× 426 0.5× 409 0.5× 600 0.7× 139 3.4k
Robert M. Kwee 672 0.6× 539 0.5× 1.3k 1.4× 1.8k 2.0× 928 1.1× 111 4.0k
Marc Faraggi 662 0.6× 968 0.9× 1.1k 1.2× 450 0.5× 539 0.6× 90 2.6k
Carmela D. Tan 640 0.6× 1.6k 1.5× 291 0.3× 484 0.5× 1000 1.2× 119 3.1k
Hiroki Kato 473 0.4× 531 0.5× 665 0.7× 1.1k 1.3× 1.0k 1.2× 184 3.2k
W. Hort 372 0.3× 1.3k 1.3× 516 0.6× 1.0k 1.2× 783 0.9× 128 2.5k
Deborah Kwon 644 0.6× 2.8k 2.6× 899 1.0× 431 0.5× 732 0.8× 146 3.6k
Masayuki Maeda 843 0.8× 476 0.4× 1.3k 1.4× 851 0.9× 867 1.0× 182 4.6k
Marco Francone 921 0.8× 3.2k 3.0× 2.5k 2.7× 863 1.0× 1.4k 1.6× 196 5.2k

Countries citing papers authored by Jean‐Pierre Laissy

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Pierre Laissy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Pierre Laissy. 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 Jean‐Pierre Laissy. The network helps show where Jean‐Pierre Laissy may publish in the future.

Co-authorship network of co-authors of Jean‐Pierre Laissy

This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Pierre Laissy. A scholar is included among the top collaborators of Jean‐Pierre Laissy 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 Jean‐Pierre Laissy. Jean‐Pierre Laissy 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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