Maïté Verreault

104 total papers · 2.5k total citations
38 papers, 862 citations indexed

About

Maïté Verreault is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, Maïté Verreault has authored 38 papers receiving a total of 862 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Genetics, 15 papers in Molecular Biology and 8 papers in Oncology. Recurrent topics in Maïté Verreault's work include Glioma Diagnosis and Treatment (20 papers), Nanoplatforms for cancer theranostics (4 papers) and Cancer Genomics and Diagnostics (4 papers). Maïté Verreault is often cited by papers focused on Glioma Diagnosis and Treatment (20 papers), Nanoplatforms for cancer theranostics (4 papers) and Cancer Genomics and Diagnostics (4 papers). Maïté Verreault collaborates with scholars based in France, Canada and United States. Maïté Verreault's co-authors include Ahmed Idbaïh, Marcel B. Bally, Jérémy Guehennec, Jean‐Yves Delattre, Charlotte Schmitt, Alexandre Carpentier, Lauriane Goldwirt, Marc Sanson, Donald T. Yapp and Michael Canney and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Clinical Cancer Research.

In The Last Decade

Maïté Verreault

38 papers receiving 851 citations

Author Peers

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

Author Last Decade Papers Cites
Maïté Verreault 389 256 241 177 142 38 862
Benjamin D. Zeitlin 507 1.3× 198 0.8× 261 1.1× 139 0.8× 139 1.0× 26 1.0k
David Cory Adamson 479 1.2× 339 1.3× 159 0.7× 111 0.6× 164 1.2× 31 985
Luiz Gustavo Dubois 420 1.1× 304 1.2× 158 0.7× 120 0.7× 188 1.3× 20 881
Mika Pietilä 503 1.3× 288 1.1× 278 1.2× 101 0.6× 220 1.5× 24 1.0k
Benjamin Himes 410 1.1× 307 1.2× 187 0.8× 116 0.7× 118 0.8× 36 922
Dengqun Liu 311 0.8× 158 0.6× 159 0.7× 100 0.6× 101 0.7× 34 812
Chunjiang Yu 389 1.0× 171 0.7× 154 0.6× 101 0.6× 188 1.3× 57 814
Augusto Rendon 376 1.0× 119 0.5× 130 0.5× 215 1.2× 126 0.9× 30 1.0k
Karen E. Parrish 308 0.8× 274 1.1× 315 1.3× 115 0.6× 84 0.6× 21 729
Sebastian Pohl 604 1.6× 145 0.6× 228 0.9× 126 0.7× 126 0.9× 39 1.0k

Countries citing papers authored by Maïté Verreault

Since Specialization
Citations

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

Fields of papers citing papers by Maïté Verreault

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maïté Verreault

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