R. Vaillancourt

55 total papers · 1.3k total citations
42 papers, 1.1k citations indexed

About

R. Vaillancourt is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Pharmacology. According to data from OpenAlex, R. Vaillancourt has authored 42 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Cardiology and Cardiovascular Medicine and 7 papers in Pharmacology. Recurrent topics in R. Vaillancourt's work include Antiplatelet Therapy and Cardiovascular Diseases (8 papers), Eicosanoids and Hypertension Pharmacology (7 papers) and Nuclear physics research studies (7 papers). R. Vaillancourt is often cited by papers focused on Antiplatelet Therapy and Cardiovascular Diseases (8 papers), Eicosanoids and Hypertension Pharmacology (7 papers) and Nuclear physics research studies (7 papers). R. Vaillancourt collaborates with scholars based in United States, Canada and Romania. R. Vaillancourt's co-authors include Daniel Deykin, Joseph A. Jakubowski, Gary L. Johnson, C. R. Valeri, Craig B. Thompson, Anne M. Gardner, J.A. Jakubowski, Kenneth B. Seamon, Michael W. Edwards and John W. Daly and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

R. Vaillancourt

40 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
R. Vaillancourt 332 204 197 171 125 42 1.1k
Τushar Garimella 197 0.6× 236 1.2× 194 1.0× 180 1.1× 123 1.0× 44 1.4k
Koichi Handa 381 1.1× 137 0.7× 320 1.6× 158 0.9× 80 0.6× 48 1.1k
Markus Jerling 282 0.8× 233 1.1× 271 1.4× 88 0.5× 56 0.4× 44 1.3k
M. Martinez-Maldonado 381 1.1× 146 0.7× 276 1.4× 373 2.2× 190 1.5× 67 1.4k
Yaguo Zheng 332 1.0× 139 0.7× 104 0.5× 187 1.1× 225 1.8× 44 960
David H. Huffman 264 0.8× 297 1.5× 224 1.1× 136 0.8× 53 0.4× 41 1.4k
Wenguang Feng 559 1.7× 117 0.6× 203 1.0× 140 0.8× 142 1.1× 41 1.5k
Sam Rebello 215 0.6× 129 0.6× 357 1.8× 61 0.4× 257 2.1× 58 1.1k
Jan Jaap van Lier 316 1.0× 123 0.6× 161 0.8× 63 0.4× 73 0.6× 38 1.0k
O. Vesterqvist 303 0.9× 150 0.7× 462 2.3× 114 0.7× 100 0.8× 60 1.4k

Countries citing papers authored by R. Vaillancourt

Since Specialization
Citations

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

Fields of papers citing papers by R. Vaillancourt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Vaillancourt

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