Marie‐Thérèse Vanier

22 total papers · 957 total citations
17 papers, 640 citations indexed

About

Marie‐Thérèse Vanier is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Marie‐Thérèse Vanier has authored 17 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Cell Biology and 7 papers in Physiology. Recurrent topics in Marie‐Thérèse Vanier's work include Lysosomal Storage Disorders Research (7 papers), Microtubule and mitosis dynamics (6 papers) and Trypanosoma species research and implications (3 papers). Marie‐Thérèse Vanier is often cited by papers focused on Lysosomal Storage Disorders Research (7 papers), Microtubule and mitosis dynamics (6 papers) and Trypanosoma species research and implications (3 papers). Marie‐Thérèse Vanier collaborates with scholars based in France, United States and Sweden. Marie‐Thérèse Vanier's co-authors include Lars Svennerholm, Jan‐Eric Månsson, Jean‐François Launay, Irène Maire, Jean‐Michel Heard, Jérôme Ausseil, Nathalie Desmaris, Liliane Michalik, Pascal Neuville and Sébastien Corbineau and has published in prestigious journals such as PLoS ONE, Annals of Neurology and Brain Research.

In The Last Decade

Marie‐Thérèse Vanier

17 papers receiving 614 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‐Thérèse Vanier 361 335 169 101 80 17 640
Nobuaki Wakamatsu 278 0.8× 314 0.9× 139 0.8× 99 1.0× 66 0.8× 18 641
J.‐E. Månsson 343 1.0× 379 1.1× 111 0.7× 98 1.0× 36 0.5× 19 699
Lars Schlotawa 260 0.7× 215 0.6× 117 0.7× 172 1.7× 110 1.4× 28 613
Tatsuhiro Yamanaka 401 1.1× 334 1.0× 155 0.9× 100 1.0× 36 0.5× 19 632
Harold A. Taylor 328 0.9× 326 1.0× 150 0.9× 71 0.7× 158 2.0× 22 680
Alessia Lombardi 294 0.8× 235 0.7× 183 1.1× 187 1.9× 81 1.0× 20 703
Koiti Titani 274 0.8× 334 1.0× 97 0.6× 68 0.7× 108 1.4× 15 684
Gregory C. Zirzow 422 1.2× 267 0.8× 220 1.3× 186 1.8× 40 0.5× 13 629
Susanna Lualdi 370 1.0× 376 1.1× 105 0.6× 153 1.5× 90 1.1× 25 689
Tracey Sikora 396 1.1× 202 0.6× 102 0.6× 133 1.3× 189 2.4× 15 676

Countries citing papers authored by Marie‐Thérèse Vanier

Since Specialization
Citations

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

Fields of papers citing papers by Marie‐Thérèse Vanier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marie‐Thérèse Vanier

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