Gabriel Mangeat

14 total papers · 632 total citations
9 papers, 454 citations indexed

About

Gabriel Mangeat is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Rheumatology. According to data from OpenAlex, Gabriel Mangeat has authored 9 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pathology and Forensic Medicine, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Rheumatology. Recurrent topics in Gabriel Mangeat's work include Multiple Sclerosis Research Studies (7 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Systemic Lupus Erythematosus Research (2 papers). Gabriel Mangeat is often cited by papers focused on Multiple Sclerosis Research Studies (7 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Systemic Lupus Erythematosus Research (2 papers). Gabriel Mangeat collaborates with scholars based in Canada, United States and Sweden. Gabriel Mangeat's co-authors include Caterina Mainero, Julien Cohen‐Adad, Russell Ouellette, Tobias Granberg, Constantina A. Treaba, Céline Louapre, Jacob A. Sloane, Elena Herranz, Eric C. Klawiter and Sindhuja Tirumalai Govindarajan and has published in prestigious journals such as NeuroImage, Brain and Annals of Neurology.

In The Last Decade

Gabriel Mangeat

9 papers receiving 453 citations

Author Peers

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

Author Last Decade Papers Cites
Gabriel Mangeat 256 203 96 68 59 9 454
Francesca Possa 374 1.5× 164 0.8× 45 0.5× 93 1.4× 87 1.5× 7 436
Sarah Cader 360 1.4× 125 0.6× 52 0.5× 118 1.7× 61 1.0× 9 517
J. P. Mottershead 143 0.6× 186 0.9× 109 1.1× 107 1.6× 35 0.6× 7 475
J Sharma 357 1.4× 104 0.5× 92 1.0× 100 1.5× 69 1.2× 11 515
My Van Au Duong 399 1.6× 166 0.8× 73 0.8× 125 1.8× 89 1.5× 7 539
Vincenzo Dattola 302 1.2× 118 0.6× 51 0.5× 121 1.8× 65 1.1× 18 512
Marietta Hoogs 315 1.2× 79 0.4× 50 0.5× 80 1.2× 61 1.0× 10 418
Jelena Dačković 267 1.0× 71 0.3× 75 0.8× 132 1.9× 58 1.0× 18 420
Kesshi Jordan 186 0.7× 236 1.2× 30 0.3× 98 1.4× 48 0.8× 17 538
Marida Della Corte 340 1.3× 109 0.5× 60 0.6× 103 1.5× 35 0.6× 13 494

Countries citing papers authored by Gabriel Mangeat

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel Mangeat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriel Mangeat

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