Marie St‐Laurent

66 total papers · 2.9k total citations
21 papers, 909 citations indexed

About

Marie St‐Laurent is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Developmental and Educational Psychology. According to data from OpenAlex, Marie St‐Laurent has authored 21 papers receiving a total of 909 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 6 papers in Cellular and Molecular Neuroscience and 5 papers in Developmental and Educational Psychology. Recurrent topics in Marie St‐Laurent's work include Memory and Neural Mechanisms (18 papers), Memory Processes and Influences (10 papers) and Neural and Behavioral Psychology Studies (6 papers). Marie St‐Laurent is often cited by papers focused on Memory and Neural Mechanisms (18 papers), Memory Processes and Influences (10 papers) and Neural and Behavioral Psychology Studies (6 papers). Marie St‐Laurent collaborates with scholars based in Canada, United States and Australia. Marie St‐Laurent's co-authors include Mary Pat McAndrews, Morris Moscovitch, Hervé Abdi, Bradley R. Buchsbaum, Cheryl L. Grady, Cornelia McCormick, Taufik A. Valiante, Viviane Sziklas, Gordon Winocur and Hana Burianová and has published in prestigious journals such as Journal of Neuroscience, NeuroImage and Brain Research.

In The Last Decade

Marie St‐Laurent

20 papers receiving 899 citations

Author Peers

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

Author Last Decade Papers Cites
Marie St‐Laurent 817 207 192 100 86 21 909
Rose A. Cooper 639 0.8× 139 0.7× 83 0.4× 92 0.9× 69 0.8× 17 715
Rina Schul 680 0.8× 223 1.1× 148 0.8× 83 0.8× 178 2.1× 13 959
Ellen M. Migo 832 1.0× 142 0.7× 182 0.9× 157 1.6× 100 1.2× 16 958
Zhong‐Xu Liu 798 1.0× 112 0.5× 116 0.6× 244 2.4× 125 1.5× 33 946
Victoria L. Scahill 808 1.0× 171 0.8× 197 1.0× 169 1.7× 74 0.9× 9 998
Thackery I. Brown 812 1.0× 155 0.7× 300 1.6× 35 0.3× 66 0.8× 35 992
Rey R. Ramírez 687 0.8× 160 0.8× 191 1.0× 50 0.5× 128 1.5× 16 1.0k
Susan Pigott 652 0.8× 113 0.5× 229 1.2× 308 3.1× 79 0.9× 13 996
Erik A. Wing 685 0.8× 130 0.6× 105 0.5× 33 0.3× 129 1.5× 24 845
Heidi M. Bonnici 854 1.0× 150 0.7× 242 1.3× 167 1.7× 74 0.9× 16 1.0k

Countries citing papers authored by Marie St‐Laurent

Since Specialization
Citations

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

Fields of papers citing papers by Marie St‐Laurent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marie St‐Laurent. 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 Marie St‐Laurent. The network helps show where Marie St‐Laurent may publish in the future.

Co-authorship network of co-authors of Marie St‐Laurent

This figure shows the co-authorship network connecting the top 25 collaborators of Marie St‐Laurent. A scholar is included among the top collaborators of Marie St‐Laurent 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 Marie St‐Laurent. Marie St‐Laurent 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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