Mathieu Wolff

2.0k total citations
40 papers, 1.4k citations indexed

About

Mathieu Wolff is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Behavioral Neuroscience. According to data from OpenAlex, Mathieu Wolff has authored 40 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Cognitive Neuroscience, 30 papers in Cellular and Molecular Neuroscience and 9 papers in Behavioral Neuroscience. Recurrent topics in Mathieu Wolff's work include Memory and Neural Mechanisms (32 papers), Neuroscience and Neuropharmacology Research (27 papers) and Neural dynamics and brain function (12 papers). Mathieu Wolff is often cited by papers focused on Memory and Neural Mechanisms (32 papers), Neuroscience and Neuropharmacology Research (27 papers) and Neural dynamics and brain function (12 papers). Mathieu Wolff collaborates with scholars based in France, New Zealand and United States. Mathieu Wolff's co-authors include Seralynne D. Vann, John C. Dalrymple‐Alford, Étienne Coutureau, Alain R. Marchand, Sheree Gibb, Jean‐Christophe Cassel, Louis Ségu, Marie-Christine Buhot, René Hen and Shauna L. Parkes and has published in prestigious journals such as Neuron, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Mathieu Wolff

39 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mathieu Wolff France 25 1.0k 835 159 133 129 40 1.4k
Marian Tsanov Ireland 20 927 0.9× 773 0.9× 106 0.7× 146 1.1× 57 0.4× 28 1.3k
Natalie Cappaert Netherlands 14 809 0.8× 673 0.8× 115 0.7× 107 0.8× 69 0.5× 23 1.2k
David G. Amaral United States 16 878 0.9× 640 0.8× 175 1.1× 129 1.0× 147 1.1× 19 1.5k
Houri Hintiryan United States 10 781 0.8× 605 0.7× 205 1.3× 95 0.7× 87 0.7× 15 1.3k
Kaori Takehara‐Nishiuchi Canada 21 1.3k 1.2× 1.1k 1.3× 158 1.0× 285 2.1× 186 1.4× 46 1.6k
Sébastien Parnaudeau France 14 783 0.8× 751 0.9× 330 2.1× 72 0.5× 204 1.6× 16 1.5k
Pieterke A. Naber Netherlands 12 1.3k 1.3× 1.2k 1.5× 131 0.8× 153 1.2× 173 1.3× 13 1.6k
Andrew J. D. Nelson United Kingdom 24 1.3k 1.3× 1.1k 1.3× 280 1.8× 146 1.1× 160 1.2× 55 2.1k
N.M. van Strien Netherlands 6 829 0.8× 629 0.8× 81 0.5× 87 0.7× 67 0.5× 7 1.1k
Nancy Rempel-Clower United States 6 1.3k 1.2× 541 0.6× 62 0.4× 118 0.9× 149 1.2× 7 1.6k

Countries citing papers authored by Mathieu Wolff

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Wolff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathieu Wolff

This figure shows the co-authorship network connecting the top 25 collaborators of Mathieu Wolff. A scholar is included among the top collaborators of Mathieu Wolff 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 Mathieu Wolff. Mathieu Wolff 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.
Wolff, Mathieu, et al.. (2024). Adaptive Responding to Stimulus–Outcome Associations Requires Noradrenergic Transmission in the Medial Prefrontal Cortex. Journal of Neuroscience. 44(22). e0078242024–e0078242024.
2.
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Coutureau, Étienne, et al.. (2022). The mediodorsal thalamus supports adaptive responding based on stimulus-outcome associations. SHILAP Revista de lepidopterología. 3. 100057–100057. 4 indexed citations
4.
Wolff, Mathieu, et al.. (2020). A thalamic bridge from sensory perception to cognition. Neuroscience & Biobehavioral Reviews. 120. 222–235. 54 indexed citations
5.
Wolff, Mathieu, et al.. (2019). Targeting Reciprocally Connected Brain Regions Through CAV-2 Mediated Interventions. Frontiers in Molecular Neuroscience. 12. 303–303. 3 indexed citations
6.
Wolff, Mathieu & Seralynne D. Vann. (2018). The Cognitive Thalamus as a Gateway to Mental Representations. Journal of Neuroscience. 39(1). 3–14. 227 indexed citations
7.
Marchand, Alain R., et al.. (2016). Parallel inputs from the mediodorsal thalamus to the prefrontal cortex in the rat. European Journal of Neuroscience. 44(3). 1972–1986. 43 indexed citations
8.
Wolff, Mathieu, et al.. (2015). Impaired spatial working memory after anterior thalamic lesions: recovery with cerebrolysin and enrichment. Brain Structure and Function. 221(4). 1955–1970. 17 indexed citations
9.
Wolff, Mathieu, et al.. (2014). Functional heterogeneity of the limbic thalamus: From hippocampal to cortical functions. Neuroscience & Biobehavioral Reviews. 54. 120–130. 60 indexed citations
10.
Naneix, Fabien, et al.. (2014). Dissociable effects of anterior and mediodorsal thalamic lesions on spatial goal-directed behavior. Brain Structure and Function. 221(1). 79–89. 29 indexed citations
11.
Marchand, Alain R., et al.. (2013). A role for anterior thalamic nuclei in contextual fear memory. Brain Structure and Function. 219(5). 1575–1586. 43 indexed citations
12.
Moreau, Pierre‐Henri, Lucas Lecourtier, Joëlle Lopez, et al.. (2012). Lesions of the anterior thalamic nuclei and intralaminar thalamic nuclei: place and visual discrimination learning in the water maze. Brain Structure and Function. 218(3). 657–667. 28 indexed citations
13.
Lopez, Joëlle, Mathieu Wolff, Lucas Lecourtier, et al.. (2009). The Intralaminar Thalamic Nuclei Contribute to Remote Spatial Memory. Journal of Neuroscience. 29(10). 3302–3306. 48 indexed citations
14.
Wolff, Mathieu, Sheree Gibb, Jean‐Christophe Cassel, & John C. Dalrymple‐Alford. (2008). Anterior but not intralaminar thalamic nuclei support allocentric spatial memory. Neurobiology of Learning and Memory. 90(1). 71–80. 54 indexed citations
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Gibb, Sheree, Mathieu Wolff, & John C. Dalrymple‐Alford. (2006). Odour–place paired-associate learning and limbic thalamus: Comparison of anterior, lateral and medial thalamic lesions. Behavioural Brain Research. 172(1). 155–168. 33 indexed citations
17.
Wolff, Mathieu, Pierre Costet, Cornelius T. Gross, et al.. (2004). Age-dependent effects of serotonin-1A receptor gene deletion in spatial learning abilities in mice. Molecular Brain Research. 130(1-2). 39–48. 33 indexed citations
18.
Buhot, Marie-Christine, et al.. (2003). Spatial Learning in the 5-HT1B Receptor Knockout Mouse: Selective Facilitation/Impairment Depending on the Cognitive Demand. Learning & Memory. 10(6). 466–477. 40 indexed citations
19.
Wolff, Mathieu, et al.. (2003). Serotonin 1B knockout mice exhibit a task-dependent selective learning facilitation. Neuroscience Letters. 338(1). 1–4. 28 indexed citations
20.
Wolff, Mathieu, et al.. (2002). Differential learning abilities of 129T2/Sv and C57BL/6J mice as assessed in three water maze protocols. Behavioural Brain Research. 136(2). 463–474. 39 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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