Gaëlle Naert

25 total papers · 1.7k total citations
23 papers, 1.4k citations indexed

About

Gaëlle Naert is a scholar working on Neurology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Gaëlle Naert has authored 23 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Neurology, 9 papers in Physiology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Gaëlle Naert's work include Alzheimer's disease research and treatments (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers) and Stress Responses and Cortisol (5 papers). Gaëlle Naert is often cited by papers focused on Alzheimer's disease research and treatments (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers) and Stress Responses and Cortisol (5 papers). Gaëlle Naert collaborates with scholars based in France, Canada and United States. Gaëlle Naert's co-authors include Serge Rivest, Laurent Givalois, Tangui Maurice, Lucia Tapia‐Arancibia, G. Ixart, Johann Meunier, Emeline Keller, Susanna Malmström, Sandor Arancibia and Florence Rage and has published in prestigious journals such as Journal of Neuroscience, Neuroscience and The Journal of the Acoustical Society of America.

In The Last Decade

Gaëlle Naert

23 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Gaëlle Naert 489 442 324 320 287 23 1.4k
Romain‐Daniel Gosselin 718 1.5× 399 0.9× 368 1.1× 570 1.8× 204 0.7× 27 1.6k
Immanuel Purushothaman 293 0.6× 337 0.8× 536 1.7× 571 1.8× 456 1.6× 19 1.7k
Shiho Kitaoka 217 0.4× 323 0.7× 494 1.5× 264 0.8× 348 1.2× 36 1.5k
Jean-Christophe Delpech 324 0.7× 646 1.5× 419 1.3× 127 0.4× 289 1.0× 30 1.5k
Jorge Montesinos 457 0.9× 557 1.3× 703 2.2× 282 0.9× 171 0.6× 26 1.6k
Marianne Léger 322 0.7× 310 0.7× 370 1.1× 455 1.4× 178 0.6× 25 1.4k
A.-M. van Dam 296 0.6× 611 1.4× 332 1.0× 354 1.1× 392 1.4× 24 1.6k
Jun Ming Wang 351 0.7× 265 0.6× 369 1.1× 542 1.7× 329 1.1× 39 1.6k
Yujiao Lu 264 0.5× 356 0.8× 390 1.2× 258 0.8× 134 0.5× 28 1.4k
G Rodriguez 744 1.5× 329 0.7× 337 1.0× 535 1.7× 289 1.0× 15 1.6k

Countries citing papers authored by Gaëlle Naert

Since Specialization
Citations

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

Fields of papers citing papers by Gaëlle Naert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaëlle Naert

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