Françoise Praddaude

20 total papers · 533 total citations
17 papers, 435 citations indexed

About

Françoise Praddaude is a scholar working on Genetics, Cardiology and Cardiovascular Medicine and Pharmacology. According to data from OpenAlex, Françoise Praddaude has authored 17 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 6 papers in Cardiology and Cardiovascular Medicine and 5 papers in Pharmacology. Recurrent topics in Françoise Praddaude's work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (9 papers), Renin-Angiotensin System Studies (6 papers) and Apelin-related biomedical research (5 papers). Françoise Praddaude is often cited by papers focused on Coagulation, Bradykinin, Polyphosphates, and Angioedema (9 papers), Renin-Angiotensin System Studies (6 papers) and Apelin-related biomedical research (5 papers). Françoise Praddaude collaborates with scholars based in France, Canada and United States. Françoise Praddaude's co-authors include Christiane Pécher, Jean‐Louis Ader, Jean‐Loup Bascands, Maria E. Marin‐Castaño, Jean‐Pierre Girolami, Joost P. Schanstra, Marie Buléon, Ivan Tack, Eric Neau and Ivan Tack and has published in prestigious journals such as Circulation, Kidney International and British Journal of Pharmacology.

In The Last Decade

Françoise Praddaude

17 papers receiving 427 citations

Author Peers

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

Author Last Decade Papers Cites
Françoise Praddaude 208 146 102 66 63 17 435
Jacques Chevalier 65 0.3× 91 0.6× 163 1.6× 38 0.6× 46 0.7× 19 483
Igor V. Yosipiv 105 0.5× 155 1.1× 176 1.7× 44 0.7× 24 0.4× 18 390
Qianxing Zhou 68 0.3× 141 1.0× 69 0.7× 40 0.6× 153 2.4× 17 437
Stefano Di Giulio 63 0.3× 42 0.3× 133 1.3× 25 0.4× 88 1.4× 20 486
Peihua Wang 50 0.2× 93 0.6× 86 0.8× 38 0.6× 18 0.3× 29 372
Julien Gonzalez 86 0.4× 30 0.2× 196 1.9× 19 0.3× 49 0.8× 16 457
Hong Jiang 51 0.2× 98 0.7× 77 0.8× 17 0.3× 155 2.5× 20 390
Sabine Haxelmans 90 0.4× 61 0.4× 274 2.7× 10 0.2× 67 1.1× 14 399
Anne-Marie Marés 63 0.3× 115 0.8× 102 1.0× 105 1.6× 107 1.7× 15 459
Takeo Sakuta 30 0.1× 77 0.5× 58 0.6× 24 0.4× 48 0.8× 15 409

Countries citing papers authored by Françoise Praddaude

Since Specialization
Citations

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

Fields of papers citing papers by Françoise Praddaude

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Françoise Praddaude

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