Gaëlle E. Doucet

4.7k total citations
92 papers, 2.7k citations indexed

About

Gaëlle E. Doucet is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Experimental and Cognitive Psychology. According to data from OpenAlex, Gaëlle E. Doucet has authored 92 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Cognitive Neuroscience, 23 papers in Radiology, Nuclear Medicine and Imaging and 22 papers in Experimental and Cognitive Psychology. Recurrent topics in Gaëlle E. Doucet's work include Functional Brain Connectivity Studies (57 papers), Neural dynamics and brain function (20 papers) and Advanced Neuroimaging Techniques and Applications (20 papers). Gaëlle E. Doucet is often cited by papers focused on Functional Brain Connectivity Studies (57 papers), Neural dynamics and brain function (20 papers) and Advanced Neuroimaging Techniques and Applications (20 papers). Gaëlle E. Doucet collaborates with scholars based in United States, France and Canada. Gaëlle E. Doucet's co-authors include Sophia Frangou, Joseph I. Tracy, Michael R. Sperling, Ashwini Sharan, Delfina Janiri, Dorian Pustina, Xiaosong He, Marc Joliot, Dominik A. Moser and Won Hee Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Gaëlle E. Doucet

82 papers receiving 2.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gaëlle E. Doucet United States 30 1.8k 751 738 470 273 92 2.7k
Simon Vandekar United States 23 1.8k 1.0× 533 0.7× 786 1.1× 447 1.0× 277 1.0× 98 2.8k
Francesco Carletti United Kingdom 12 1.9k 1.0× 535 0.7× 744 1.0× 588 1.3× 250 0.9× 18 2.6k
José Miguel Soares Portugal 19 1.2k 0.7× 303 0.4× 778 1.1× 425 0.9× 315 1.2× 47 2.3k
Andrew Kalnin United States 25 1.2k 0.6× 495 0.7× 906 1.2× 423 0.9× 186 0.7× 38 2.6k
Yanqing Tang China 29 1.2k 0.7× 643 0.9× 441 0.6× 488 1.0× 527 1.9× 106 2.8k
Gianpaolo Basso Italy 23 1.9k 1.0× 297 0.4× 559 0.8× 413 0.9× 139 0.5× 62 2.8k
Teresa Popolizio Italy 28 1.0k 0.6× 493 0.7× 643 0.9× 247 0.5× 127 0.5× 87 2.5k
Yuan Zhong China 29 1.8k 1.0× 669 0.9× 742 1.0× 412 0.9× 181 0.7× 91 2.5k
Jason S. Nomi United States 27 2.2k 1.2× 510 0.7× 489 0.7× 531 1.1× 232 0.8× 56 2.8k
Thomas Müller Switzerland 33 1.2k 0.6× 687 0.9× 583 0.8× 258 0.5× 340 1.2× 108 2.5k

Countries citing papers authored by Gaëlle E. Doucet

Since Specialization
Citations

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

Fields of papers citing papers by Gaëlle E. Doucet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaëlle E. Doucet

This figure shows the co-authorship network connecting the top 25 collaborators of Gaëlle E. Doucet. A scholar is included among the top collaborators of Gaëlle E. Doucet 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 E. Doucet. Gaëlle E. Doucet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Doucet, Gaëlle E., K. Myers, Marc Joliot, et al.. (2025). Dev-Atlas: A reference atlas of functional brain networks for typically developing adolescents. Developmental Cognitive Neuroscience. 72. 101523–101523.
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Doucet, Gaëlle E., et al.. (2025). Subcortical brain iron and its link to verbal memory in children with developmental language disorder. Brain and Language. 261. 105531–105531.
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Doucet, Gaëlle E., Otto R.F. Smith, Vince D. Calhoun, et al.. (2024). Anxiety symptoms are differentially associated with facial expression processing in boys and girls. Social Cognitive and Affective Neuroscience. 19(1). 2 indexed citations
6.
Doucet, Gaëlle E., et al.. (2024). Prenatal Tobacco Exposure, Brain Subcortical Volumes, and Gray-White Matter Contrast. JAMA Network Open. 7(12). e2451786–e2451786. 1 indexed citations
7.
Petro, Nathan M., Giorgia Picci, Christine M. Embury, et al.. (2023). Developmental differences in functional organization of multispectral networks. Cerebral Cortex. 33(14). 9175–9185. 1 indexed citations
8.
Pappaianni, Edoardo, et al.. (2023). Neurocognitive Endophenotypes for Eating Disorders: A Preliminary High-Risk Family Study. Brain Sciences. 13(1). 99–99. 5 indexed citations
9.
Pappaianni, Edoardo, et al.. (2022). Initial evidence of abnormal brain plasticity in anorexia nervosa: an ultra-high field study. Scientific Reports. 12(1). 2589–2589. 7 indexed citations
10.
Doucet, Gaëlle E., et al.. (2020). Atlas55+: Brain Functional Atlas of Resting-State Networks for Late Adulthood. Cerebral Cortex. 31(3). 1719–1731. 21 indexed citations
11.
Haas, Shalaila S., et al.. (2020). Linking language features to clinical symptoms and multimodal imaging in individuals at clinical high risk for psychosis. European Psychiatry. 63(1). e72–e72. 16 indexed citations
12.
Sprooten, Emma, Rafael O’Halloran, Juliane Dinse, et al.. (2018). Depth-dependent intracortical myelin organization in the living human brain determined by in vivo ultra-high field magnetic resonance imaging. NeuroImage. 185. 27–34. 29 indexed citations
13.
Xu, Junqian, et al.. (2018). Imaging Habenula Volume in Schizophrenia and Bipolar Disorder. Frontiers in Psychiatry. 9. 456–456. 25 indexed citations
14.
He, Xiaosong, Gaëlle E. Doucet, Dorian Pustina, et al.. (2017). Presurgical thalamic “hubness” predicts surgical outcome in temporal lobe epilepsy. Neurology. 88(24). 2285–2293. 132 indexed citations
15.
Moser, Dominik A., Gaëlle E. Doucet, Alex Ing, et al.. (2017). An integrated brain–behavior model for working memory. Molecular Psychiatry. 23(10). 1974–1980. 37 indexed citations
16.
Monti, Daniel, Nancy Wintering, Michael Matthews, et al.. (2017). Neuro emotional technique effects on brain physiology in cancer patients with traumatic stress symptoms: preliminary findings. Journal of Cancer Survivorship. 11(4). 438–446. 9 indexed citations
17.
Doucet, Gaëlle E., Karol Osipowicz, Ashwini Sharan, Michael R. Sperling, & Joseph I. Tracy. (2013). Hippocampal Functional Connectivity Patterns During Spatial Working Memory Differ in Right Versus Left Temporal Lobe Epilepsy. Brain Connectivity. 3(4). 398–406. 29 indexed citations
18.
Doucet, Gaëlle E., Karol Osipowicz, Ashwini Sharan, Michael R. Sperling, & Joseph I. Tracy. (2012). Extratemporal functional connectivity impairments at rest are related to memory performance in mesial temporal epilepsy. Human Brain Mapping. 34(9). 2202–2216. 86 indexed citations
19.
Doucet, Gaëlle E., Mikaël Naveau, Laurent Petit, et al.. (2011). Brain activity at rest: a multiscale hierarchical functional organization. Journal of Neurophysiology. 105(6). 2753–2763. 248 indexed citations
20.
Ballester, Benoît, Olivier Ramuz, Christian Gisselbrecht, et al.. (2005). Gene expression profiling identifies molecular subgroups among nodal peripheral T-cell lymphomas. Oncogene. 25(10). 1560–1570. 96 indexed citations

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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