Chantal Mathis

1.4k total citations
38 papers, 1.1k citations indexed

About

Chantal Mathis is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Chantal Mathis has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cellular and Molecular Neuroscience, 22 papers in Cognitive Neuroscience and 12 papers in Molecular Biology. Recurrent topics in Chantal Mathis's work include Neuroscience and Neuropharmacology Research (19 papers), Memory and Neural Mechanisms (18 papers) and Stress Responses and Cortisol (9 papers). Chantal Mathis is often cited by papers focused on Neuroscience and Neuropharmacology Research (19 papers), Memory and Neural Mechanisms (18 papers) and Stress Responses and Cortisol (9 papers). Chantal Mathis collaborates with scholars based in France, United States and Germany. Chantal Mathis's co-authors include Arielle Ungerer, Jean‐Christophe Cassel, Jean‐Cosme Dodart, Vincent Douchamps, Romain Goutagny, Karine Herbeaux, Brigitte Cosquer, Céline Héraud, Elise Vogel and Hamid Méziane and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Brain Research.

In The Last Decade

Chantal Mathis

36 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chantal Mathis France 21 564 412 354 232 142 38 1.1k
Yves Lamberty Belgium 25 646 1.1× 372 0.9× 449 1.3× 251 1.1× 186 1.3× 57 1.6k
Yukio Takamatsu Japan 15 465 0.8× 365 0.9× 207 0.6× 214 0.9× 105 0.7× 32 1.1k
Can Gao China 22 822 1.5× 481 1.2× 462 1.3× 211 0.9× 209 1.5× 52 1.4k
Nathan R. Rustay United States 16 584 1.0× 419 1.0× 195 0.6× 323 1.4× 108 0.8× 21 1.1k
David S. Reynolds United Kingdom 22 1.1k 2.0× 629 1.5× 368 1.0× 314 1.4× 152 1.1× 42 1.7k
Shikha Snigdha United States 18 706 1.3× 622 1.5× 206 0.6× 294 1.3× 204 1.4× 25 1.6k
Michael H. Mesches United States 16 752 1.3× 344 0.8× 461 1.3× 166 0.7× 207 1.5× 19 1.3k
Estelle Barbier United States 23 799 1.4× 614 1.5× 284 0.8× 210 0.9× 122 0.9× 35 1.6k
Valérie Bertaina‐Anglade France 14 412 0.7× 427 1.0× 355 1.0× 120 0.5× 88 0.6× 20 1.2k
Jean‐Louis Guillou France 18 543 1.0× 407 1.0× 216 0.6× 135 0.6× 108 0.8× 29 923

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

20 of 20 papers shown
1.
2.
Herbeaux, Karine, Yannick Goumon, Alexandra Barbelivien, et al.. (2022). Functional brain‐wide network mapping during acute stress exposure in rats: Interaction between the lateral habenula and cortical, amygdalar, hypothalamic and monoaminergic regions. European Journal of Neuroscience. 56(8). 5154–5176. 9 indexed citations
3.
Mathis, Victor, Karine Herbeaux, Alexandra Barbelivien, et al.. (2020). Involvement of the lateral habenula in fear memory. Brain Structure and Function. 225(7). 2029–2044. 22 indexed citations
4.
Héraud, Céline, et al.. (2017). Differential contribution of APP metabolites to early cognitive deficits in a TgCRND8 mouse model of Alzheimer’s disease. Science Advances. 3(2). e1601068–e1601068. 47 indexed citations
5.
Mathis, Victor, Brigitte Cosquer, Alexandra Barbelivien, et al.. (2017). The lateral habenula interacts with the hypothalamo-pituitary adrenal axis response upon stressful cognitive demand in rats. Behavioural Brain Research. 341. 63–70. 13 indexed citations
6.
Herbeaux, Karine, et al.. (2017). Age-related vulnerability of pattern separation in C57BL/6J mice. Neurobiology of Aging. 62. 120–129. 23 indexed citations
7.
Héraud, Céline, et al.. (2016). APOE-Sensitive Cholinergic Sprouting Compensates for Hippocampal Dysfunctions Due to Reduced Entorhinal Input. Journal of Neuroscience. 36(40). 10472–10486. 20 indexed citations
8.
Sündermann, Frederik, et al.. (2016). DMSO modulates CNS function in a preclinical Alzheimer's disease model. Neuropharmacology. 113(Pt A). 434–444. 26 indexed citations
9.
Mathis, Victor, Alexandra Barbelivien, Monique Majchrzak, et al.. (2016). The Lateral Habenula as a Relay of Cortical Information to Process Working Memory. Cerebral Cortex. 27(12). 5485–5495. 39 indexed citations
10.
Mathis, Chantal, et al.. (2015). Touchscreen tasks in mice to demonstrate differences between hippocampal and striatal functions. Neurobiology of Learning and Memory. 120. 16–27. 31 indexed citations
11.
Mathis, Chantal, Élise Savier, Daniel Clesse, et al.. (2014). Defective response inhibition and collicular noradrenaline enrichment in mice with duplicated retinotopic map in the superior colliculus. Brain Structure and Function. 220(3). 1573–1584. 6 indexed citations
12.
13.
Moreau, Pierre‐Henri, Brigitte Cosquer, Hélène Jeltsch‐David, Jean‐Christophe Cassel, & Chantal Mathis. (2008). Neuroanatomical and behavioral effects of a novel version of the cholinergic immunotoxin mu p75‐saporin in mice. Hippocampus. 18(6). 610–622. 53 indexed citations
14.
15.
Ungerer, Arielle, Chantal Mathis, & Claudine Mélan. (1998). Are glutamate receptors specifically implicated in some forms of memory processes?. Experimental Brain Research. 123(1-2). 45–51. 23 indexed citations
16.
Dodart, Jean‐Cosme, Chantal Mathis, & Arielle Ungerer. (1997). Scopolamine-induced deficits in a two-trial object recognition task in mice. Neuroreport. 8(5). 1173–1178. 128 indexed citations
17.
Méziane, Hamid, Chantal Mathis, Arielle Ungerer, & Soumen Paul. (1996). The neurosteroid pregnenolone sulfate reduces learning deficits induced by scopolamine and has promnestic effects in mice performing an appetitive learning task. Psychopharmacology. 126(4). 323–330. 61 indexed citations
18.
Mathis, Chantal & Arielle Ungerer. (1992). Comparative analysis of seizures induced by intracerebroventricular administration of NMDA, kainate and quisqualate in mice. Experimental Brain Research. 88(2). 277–282. 20 indexed citations
19.
20.
Mathis, Chantal, Jean de Barry, & Arielle Ungerer. (1991). Memory deficits induced byγ-l-glutamyl-l-aspartate andd-2-amino-5-phosphonovalerate in a Y-maze avoidance task: relationship to NMDA receptor antagonism. Psychopharmacology. 105(4). 546–552. 13 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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