Mélissa Pelletier

54 total papers · 1.2k total citations
38 papers, 867 citations indexed

About

Mélissa Pelletier is a scholar working on Physiology, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Mélissa Pelletier has authored 38 papers receiving a total of 867 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Physiology, 13 papers in Epidemiology and 10 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Mélissa Pelletier's work include Adipose Tissue and Metabolism (13 papers), Adipokines, Inflammation, and Metabolic Diseases (12 papers) and Cardiovascular Disease and Adiposity (8 papers). Mélissa Pelletier is often cited by papers focused on Adipose Tissue and Metabolism (13 papers), Adipokines, Inflammation, and Metabolic Diseases (12 papers) and Cardiovascular Disease and Adiposity (8 papers). Mélissa Pelletier collaborates with scholars based in Canada, United States and United Kingdom. Mélissa Pelletier's co-authors include André Tchernof, Julie Lessard, Mélanie Nadeau, Andréanne Michaud, Sofia Laforest, Van Luu‐The, Mohamed Fouad Mansour, Laurent Biertho, Mathieu Lebœuf and Claude Labrie and has published in prestigious journals such as PLoS ONE, NeuroImage and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Mélissa Pelletier

37 papers receiving 859 citations

Author Peers

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

Author Last Decade Papers Cites
Mélissa Pelletier 366 292 236 144 126 38 867
Gillian E. Walker 334 0.9× 230 0.8× 258 1.1× 113 0.8× 178 1.4× 34 948
Patrícia Chimin 542 1.5× 340 1.2× 282 1.2× 80 0.6× 93 0.7× 34 978
Daniela Friebe 365 1.0× 255 0.9× 320 1.4× 137 1.0× 57 0.5× 20 888
Isabel Viola Wagner 421 1.2× 147 0.5× 189 0.8× 150 1.0× 163 1.3× 29 922
Karunakaran Indulekha 245 0.7× 281 1.0× 304 1.3× 121 0.8× 138 1.1× 28 822
Jacobie Steenbergen 275 0.8× 245 0.8× 110 0.5× 83 0.6× 267 2.1× 31 925
Amandine Thomas 446 1.2× 238 0.8× 159 0.7× 87 0.6× 59 0.5× 28 848
Ryoichi Kawamura 166 0.5× 177 0.6× 236 1.0× 189 1.3× 91 0.7× 55 823
Dov B. Ballak 187 0.5× 290 1.0× 245 1.0× 153 1.1× 83 0.7× 25 896
James R. Levy 319 0.9× 247 0.8× 264 1.1× 46 0.3× 235 1.9× 38 956

Countries citing papers authored by Mélissa Pelletier

Since Specialization
Citations

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

Fields of papers citing papers by Mélissa Pelletier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mélissa Pelletier

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