Magali Laidet

26 total papers · 510 total citations
19 papers, 395 citations indexed

About

Magali Laidet is a scholar working on Neurology, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Magali Laidet has authored 19 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Neurology, 9 papers in Pathology and Forensic Medicine and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Magali Laidet's work include Multiple Sclerosis Research Studies (9 papers), Traumatic Brain Injury and Neurovascular Disturbances (7 papers) and Cerebrospinal fluid and hydrocephalus (7 papers). Magali Laidet is often cited by papers focused on Multiple Sclerosis Research Studies (9 papers), Traumatic Brain Injury and Neurovascular Disturbances (7 papers) and Cerebrospinal fluid and hydrocephalus (7 papers). Magali Laidet collaborates with scholars based in Switzerland, United States and France. Magali Laidet's co-authors include Stéphane Armand, Gilles Allali, Frédéric Assal, Patrice H. Lalive, François R. Herrmann, Michel Chofflon, Arnaud Saj̈, Lara Allet, Ilona M. Punt and Shahan Momjian and has published in prestigious journals such as Journal of the Neurological Sciences, Journal of Alzheimer s Disease and Gait & Posture.

In The Last Decade

Magali Laidet

19 papers receiving 390 citations

Author Peers

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

Author						Papers	Cites
Magali Laidet	156	129	128	114	109	19	395
Philippe Rossier	128 0.8×	84 0.7×	25 0.2×	187 1.6×	18 0.2×	12	392
Akkradate Siriphorn	97 0.6×	31 0.2×	38 0.3×	70 0.6×	61 0.6×	35	397
Arnaud Gouelle	28 0.2×	88 0.7×	33 0.3×	132 1.2×	19 0.2×	25	334
Francesca De Luca	179 1.1×	53 0.4×	9 0.1×	102 0.9×	31 0.3×	22	364
Elizabeth M. Wallack	230 1.5×	63 0.5×	17 0.1×	145 1.3×	58 0.5×	20	434
Sibel Aksu Yıldırım	48 0.3×	84 0.7×	27 0.2×	161 1.4×	38 0.3×	37	416
A. Yelnik	45 0.3×	118 0.9×	34 0.3×	135 1.2×	19 0.2×	34	407
Darlene Stough	171 1.1×	92 0.7×	15 0.1×	85 0.7×	25 0.2×	15	334
Joyce Campbell	69 0.4×	13 0.1×	17 0.1×	134 1.2×	60 0.6×	13	396
Stefan Patra	254 1.6×	74 0.6×	26 0.2×	58 0.5×	18 0.2×	15	412

Countries citing papers authored by Magali Laidet

Since Specialization

Citations

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

Fields of papers citing papers by Magali Laidet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Magali Laidet

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