Chantal Mathis

2.4k total citations · 1 hit paper
18 papers, 2.0k citations indexed

About

Chantal Mathis is a scholar working on Physiology, Cellular and Molecular Neuroscience and Pharmacology. According to data from OpenAlex, Chantal Mathis has authored 18 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Physiology, 8 papers in Cellular and Molecular Neuroscience and 5 papers in Pharmacology. Recurrent topics in Chantal Mathis's work include Alzheimer's disease research and treatments (11 papers), Neuroscience and Neuropharmacology Research (8 papers) and Cholinesterase and Neurodegenerative Diseases (5 papers). Chantal Mathis is often cited by papers focused on Alzheimer's disease research and treatments (11 papers), Neuroscience and Neuropharmacology Research (8 papers) and Cholinesterase and Neurodegenerative Diseases (5 papers). Chantal Mathis collaborates with scholars based in France, United States and Canada. Chantal Mathis's co-authors include Steven M. Paul, Jean‐Cosme Dodart, Kelly R. Bales, Jacqueline N. Crawley, Arielle Ungerer, Cynthia DeLong, Kimberley S. Gannon, Xin Wu, Stephen J. Greene and Ronald B. DeMattos and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Neuroscience and Psychopharmacology.

In The Last Decade

Chantal Mathis

18 papers receiving 1.9k citations

Hit Papers

Immunization reverses memory deficits without reducing br... 2002 2026 2010 2018 2002 200 400 600

Peers

Chantal Mathis
Daniel J. Whitcomb United Kingdom
Keith J. Page United Kingdom
Yi Nong United States
Robert S. Bitner United States
Tiffany Wu United States
Mathieu Herman United States
Chantal Mathis
Citations per year, relative to Chantal Mathis Chantal Mathis (= 1×) peers Arielle Ungerer

Countries citing papers authored by Chantal Mathis

Since Specialization
Citations

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

Fields of papers citing papers by Chantal Mathis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chantal Mathis

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

All Works

18 of 18 papers shown
1.
Héraud, Céline, Karine Herbeaux, Shoko Hashimoto, et al.. (2022). Early memory deficits and extensive brain network disorganization in the App/MAPT double knock-in mouse model of familial Alzheimer’s disease. SHILAP Revista de lepidopterología. 2. 100042–100042. 8 indexed citations
2.
Klein, Christian, Chantal Mathis, Christine Patte‐Mensah, et al.. (2014). γ-Hydroxybutyrate (Xyrem) ameliorates clinical symptoms and neuropathology in a mouse model of Alzheimer's disease. Neurobiology of Aging. 36(2). 832–844. 28 indexed citations
3.
Kroker, Katja S., et al.. (2014). PDE9A inhibition rescues amyloid beta-induced deficits in synaptic plasticity and cognition. Neurobiology of Aging. 35(9). 2072–2078. 52 indexed citations
4.
Moreau, Pierre‐Henri, Celina Zerbinatti, John J. Renger, et al.. (2013). ApoE4 confers better spatial memory than apoE3 in young adult hAPP-Yac/apoE-TR mice. Behavioural Brain Research. 243. 1–5. 9 indexed citations
5.
Cassel, Jean‐Christophe, Chantal Mathis, Monique Majchrzak, Pierre‐Henri Moreau, & John C. Dalrymple‐Alford. (2008). Coexisting Cholinergic and Parahippocampal Degeneration: A Key to Memory Loss in Dementia and a Challenge for Transgenic Models?. Neurodegenerative Diseases. 5(5). 304–317. 18 indexed citations
6.
Grootendorst, Jeannette, Elise Vogel, Christian Kelche, et al.. (2008). Middle-aged human apoE4 targeted-replacement mice show retention deficits on a wide range of spatial memory tasks. Behavioural Brain Research. 193(2). 174–182. 121 indexed citations
7.
Grootendorst, Jeannette, Elise Vogel, Christian Kelche, et al.. (2004). Human apoE targeted replacement mouse lines: h-apoE4 and h-apoE3 mice differ on spatial memory performance and avoidance behavior. Behavioural Brain Research. 159(1). 1–14. 124 indexed citations
8.
Dodart, Jean‐Cosme, Kelly R. Bales, Kimberley S. Gannon, et al.. (2002). Immunization reverses memory deficits without reducing brain Aβ burden in Alzheimer's disease model. Nature Neuroscience. 5(5). 452–457. 705 indexed citations breakdown →
9.
Dodart, Jean‐Cosme, Chantal Mathis, & Arielle Ungerer. (2000). The β-Amyloid Precursor Protein and its Derivatives: From Biology to Learning and Memory Processes. Reviews in the Neurosciences. 11(2-3). 75–93. 45 indexed citations
10.
Dodart, Jean‐Cosme, Chantal Mathis, Josep Saura, et al.. (2000). Neuroanatomical Abnormalities in Behaviorally Characterized APPV717F Transgenic Mice. Neurobiology of Disease. 7(2). 71–85. 97 indexed citations
11.
Dodart, Jean‐Cosme, Chantal Mathis, Kelly R. Bales, Steven M. Paul, & Arielle Ungerer. (1999). Early regional cerebral glucose hypometabolism in transgenic mice overexpressing the V717F β-amyloid precursor protein. Neuroscience Letters. 277(1). 49–52. 54 indexed citations
12.
Dodart, Jean‐Cosme, Hamid Méziane, Chantal Mathis, et al.. (1999). Behavioral disturbances in transgenic mice overexpressing the V717F Β-amyloid precursor protein.. Behavioral Neuroscience. 113(5). 982–990. 148 indexed citations
13.
Dodart, Jean‐Cosme, Hamid Méziane, Chantal Mathis, et al.. (1999). Behavioral disturbances in transgenic mice overexpressing the V717F Β-amyloid precursor protein.. Behavioral Neuroscience. 113(5). 982–990. 135 indexed citations
14.
Mathis, Chantal, et al.. (1998). "Bone bruises" of the knee: a review.. PubMed. 18. 112–7. 15 indexed citations
15.
Gershenfeld, Howard K., Paul E. Neumann, Chantal Mathis, et al.. (1997). Mapping Quantitative Trait Loci for Open-Field Behavior in Mice. Behavior Genetics. 27(3). 201–210. 149 indexed citations
16.
Mathis, Chantal, Paul E. Neumann, Howard K. Gershenfeld, Steven M. Paul, & Jacqueline N. Crawley. (1995). Genetic analysis of anxiety-related behaviors and responses to benzodiazepine-related drugs in AXB and BXA recombinant inbred mouse strains. Behavior Genetics. 25(6). 557–568. 80 indexed citations
17.
Mathis, Chantal, Steven M. Paul, & Jacqueline N. Crawley. (1994). Characterization of benzodiazepine-sensitive behaviors in the A/J and C57BL/6J inbred strains of mice. Behavior Genetics. 24(2). 171–180. 96 indexed citations
18.
Mathis, Chantal, Steven M. Paul, & Jacqueline N. Crawley. (1994). The neurosteroid pregnenolone sulfate blocks NMDA antagonist-induced deficits in a passive avoidance memory task. Psychopharmacology. 116(2). 201–206. 108 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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