Pauline Arnaud

83 total papers · 1.4k total citations
36 papers, 608 citations indexed

About

Pauline Arnaud is a scholar working on Genetics, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Pauline Arnaud has authored 36 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Genetics, 15 papers in Pulmonary and Respiratory Medicine and 10 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Pauline Arnaud's work include Connective tissue disorders research (24 papers), Aortic Disease and Treatment Approaches (14 papers) and Cardiac Valve Diseases and Treatments (9 papers). Pauline Arnaud is often cited by papers focused on Connective tissue disorders research (24 papers), Aortic Disease and Treatment Approaches (14 papers) and Cardiac Valve Diseases and Treatments (9 papers). Pauline Arnaud collaborates with scholars based in France, United States and United Kingdom. Pauline Arnaud's co-authors include Cathérine Boileau, Guillaume Jondeau, Nadine Hanna, Olivier Milleron, Laurent Gouya, Ellen M. Hostetler, Suzanne M. Leal, Ellen S. Regalado, Dianna M. Milewicz and Maud Langeois and has published in prestigious journals such as Journal of the American College of Cardiology, Circulation Research and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Pauline Arnaud

34 papers receiving 602 citations

Author Peers

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

Author						Papers	Cites
Pauline Arnaud	360	347	174	149	56	36	608
Amélie Pinard	251 0.7×	317 0.9×	114 0.7×	220 1.5×	79 1.4×	19	646
Britta Keyser	207 0.6×	179 0.5×	257 1.5×	268 1.8×	72 1.3×	25	616
Sili Zou	73 0.2×	325 0.9×	113 0.6×	225 1.5×	131 2.3×	32	643
Thomas Cullup	130 0.4×	73 0.2×	164 0.9×	433 2.9×	42 0.8×	24	612
J Feingold	152 0.4×	57 0.2×	82 0.5×	287 1.9×	18 0.3×	42	696
Elena Gallo MacFarlane	238 0.7×	211 0.6×	110 0.6×	176 1.2×	74 1.3×	22	547
Maria Sabater‐Lleal	102 0.3×	63 0.2×	90 0.5×	123 0.8×	56 1.0×	33	532
Anita Wischmeijer	333 0.9×	95 0.3×	49 0.3×	260 1.7×	72 1.3×	29	621
Marie‐Ange Delrue	257 0.7×	73 0.2×	106 0.6×	289 1.9×	106 1.9×	30	596
Daniela Danieli	64 0.2×	244 0.7×	53 0.3×	134 0.9×	32 0.6×	29	645

Countries citing papers authored by Pauline Arnaud

Since Specialization

Citations

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

Fields of papers citing papers by Pauline Arnaud

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pauline Arnaud

This figure shows the co-authorship network connecting the top 25 collaborators of Pauline Arnaud. A scholar is included among the top collaborators of Pauline Arnaud 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 Pauline Arnaud. Pauline Arnaud 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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