Marie Chupin

7.2k total citations · 1 hit paper
83 papers, 3.9k citations indexed

About

Marie Chupin is a scholar working on Psychiatry and Mental health, Physiology and Neurology. According to data from OpenAlex, Marie Chupin has authored 83 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Psychiatry and Mental health, 25 papers in Physiology and 21 papers in Neurology. Recurrent topics in Marie Chupin's work include Dementia and Cognitive Impairment Research (28 papers), Alzheimer's disease research and treatments (22 papers) and Advanced Neuroimaging Techniques and Applications (17 papers). Marie Chupin is often cited by papers focused on Dementia and Cognitive Impairment Research (28 papers), Alzheimer's disease research and treatments (22 papers) and Advanced Neuroimaging Techniques and Applications (17 papers). Marie Chupin collaborates with scholars based in France, United States and United Kingdom. Marie Chupin's co-authors include Olivier Colliot, Stéphane Lehéricy, Emilie Gérardin, Rémi Cuingnet, Habib Benali, Line Garnero, Bruno Dubois, Marie-Odile Habert, Guillaume Auzias and Louis Lemieux and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and NeuroImage.

In The Last Decade

Marie Chupin

81 papers receiving 3.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Automatic classification of patients with Alzheimer's disease from structural MRI: A comparison of ten methods using the ADNI database

2010 698 citations Rémi Cuingnet, Emilie Gérardin et al. NeuroImage profile →

Peers

Marie Chupin

PMH

NEURO

PHYSI

RNMI

Simon Duchesne Canada

Manja Lehmann United Kingdom

Duygu Tosun United States

Jyrki Lötjönen Finland

Kelvin K. Leung United Kingdom

Anthony F. Fotenos United States

Susanne G. Mueller United States

Simon Fristed Eskildsen Denmark

Sandhitsu R. Das United States

Jussi Tohka Finland

Simon Duchesne Canada

Marie Chupin

1.2k ×0.7

PMH

947 ×0.7

486 ×0.5

NEURO

727 ×0.7

PHYSI

960 ×1.1

RNMI

Citations per year, relative to Marie Chupin Marie Chupin (= 1×) peers Simon Duchesne

Countries citing papers authored by Marie Chupin

Since Specialization

Citations

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

Fields of papers citing papers by Marie Chupin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marie Chupin

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

All Works

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20 of 20 papers shown

Betrouni, Nacim, Caroline Moreau, Anne‐Sophie Rolland, et al.. (2021). Texture-based markers from structural imaging correlate with motor handicap in Parkinson’s disease. Scientific Reports. 11(1). 2724–2724. 18 indexed citations

Maltais, Mathieu, Yves Rolland, Jean‐François Mangin, et al.. (2020). Prospective associations between physical activity levels and white matter integrity in older adults: results from the MAPT study. Maturitas. 137. 24–29. 7 indexed citations

Bertoux, Maxime, Julien Lagarde, Fabian Corlier, et al.. (2019). Sulcal morphology in Alzheimer's disease: an effective marker of diagnosis and cognition. Neurobiology of Aging. 84. 41–49. 24 indexed citations

Colle, Romain, Marie Chupin, Patrick Hardy, et al.. (2017). Early life adversity is associated with a smaller hippocampus in male but not female depressed in-patients: a case–control study. BMC Psychiatry. 17(1). 71–71. 19 indexed citations

Moon, So Young, Philipe de Souto Barreto, Marie Chupin, et al.. (2017). Association Between Red Blood Cells Omega-3 Polyunsaturated Fatty Acids and White Matter Hyperintensities: The MAPT Study. The journal of nutrition health & aging. 22(1). 174–179. 7 indexed citations

Colle, Romain, Olivier Colliot, Patrick Hardy, et al.. (2016). Smaller hippocampal volumes predict lower antidepressant response/remission rates in depressed patients: A meta-analysis. The World Journal of Biological Psychiatry. 19(5). 360–367. 38 indexed citations

Colle, Romain, Claire Cury, Marie Chupin, et al.. (2016). Hippocampal volume predicts antidepressant efficacy in depressed patients without incomplete hippocampal inversion. NeuroImage Clinical. 12. 949–955. 14 indexed citations

Hamelin, Lorraine, Maxime Bertoux, Michel Bottlaender, et al.. (2015). Sulcal morphology as a new imaging marker for the diagnosis of early onset Alzheimer's disease. Neurobiology of Aging. 36(11). 2932–2939. 33 indexed citations

Boutet, Claire, Marie Chupin, Stéphane Lehéricy, et al.. (2014). Detection of volume loss in hippocampal layers in Alzheimer's disease using 7 T MRI: A feasibility study. NeuroImage Clinical. 5. 341–348. 64 indexed citations

10.

Attal, Yohan, et al.. (2013). Correction: MEG Evidence for Dynamic Amygdala Modulations by Gaze and Facial Emotions. PLoS ONE. 8(10). 18 indexed citations

11.

Fillon, Ludovic, Rémi Cuingnet, Éric Jouvent, et al.. (2012). Contrast-Based Fully Automatic Segmentation of White Matter Hyperintensities: Method and Validation. PLoS ONE. 7(11). e48953–e48953. 35 indexed citations

12.

Worbe, Yulia, Emilie Gérardin, Andreas Hartmann, et al.. (2010). Distinct structural changes underpin clinical phenotypes in patients with Gilles de la Tourette syndrome. Brain. 133(12). 3649–3660. 123 indexed citations

13.

Cuingnet, Rémi, Emilie Gérardin, Guillaume Auzias, et al.. (2010). Automatic classification of patients with Alzheimer's disease from structural MRI: A comparison of ten methods using the ADNI database. NeuroImage. 56(2). 766–781. 698 indexed citations breakdown →

14.

Rodionov, Roman, Marie Chupin, Elaine Williams, et al.. (2009). Evaluation of atlas-based segmentation of hippocampi in healthy humans. Magnetic Resonance Imaging. 27(8). 1104–1109. 33 indexed citations

15.

Chupin, Marie, Emilie Gérardin, Rémi Cuingnet, et al.. (2009). Fully automatic hippocampus segmentation and classification in Alzheimer's disease and mild cognitive impairment applied on data from ADNI. Hippocampus. 19(6). 579–587. 249 indexed citations

16.

Chupin, Marie, Alexander Hammers, Olivier Colliot, et al.. (2009). Automatic segmentation of the hippocampus and the amygdala driven by hybrid constraints: Method and validation. NeuroImage. 46(3). 749–761. 120 indexed citations

17.

Bergouignan, Loretxu, Marie Chupin, Yvonne Czechowska, et al.. (2008). Can voxel based morphometry, manual segmentation and automated segmentation equally detect hippocampal volume differences in acute depression?. NeuroImage. 45(1). 29–37. 210 indexed citations

18.

Attal, Yohan, Manik Bhattacharjee, Jérôme Yelnik, et al.. (2007). Modeling and Detecting Deep Brain Activity with MEG & EEG. Conference proceedings. 34. 4937–4940. 85 indexed citations

19.

Abram, Maja, P Peltier, Marie Chupin, et al.. (1993). Place respective de la tomodensitométrie surrénalienne et de la scintigraphie au norcholestérol radiomarqué dans le diagnostic étiologique des hyperaldostéronismes primaires. La Revue de Médecine Interne. 14(7). 691–697. 3 indexed citations

20.

Harousseau, Jean‐Luc, et al.. (1982). Fasciite à éosinophiles et maladie de Hodgkin.. 58(38). 3 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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