Laurence Coutellier

2.1k total citations
37 papers, 1.5k citations indexed

About

Laurence Coutellier is a scholar working on Behavioral Neuroscience, Social Psychology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Laurence Coutellier has authored 37 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Behavioral Neuroscience, 19 papers in Social Psychology and 15 papers in Cellular and Molecular Neuroscience. Recurrent topics in Laurence Coutellier's work include Stress Responses and Cortisol (22 papers), Neuroendocrine regulation and behavior (19 papers) and Neuroscience and Neuropharmacology Research (10 papers). Laurence Coutellier is often cited by papers focused on Stress Responses and Cortisol (22 papers), Neuroendocrine regulation and behavior (19 papers) and Neuroscience and Neuropharmacology Research (10 papers). Laurence Coutellier collaborates with scholars based in United States, Germany and France. Laurence Coutellier's co-authors include Chloe E. Page, Ryan M. Shepard, Mehrdad Shamloo, Pooneh Memar Ardestani, Hanno Würbel, José Marı́a Mateos, Ben A. Barres, Alexander Stephan, Deborah A. Fraser and Andrea J. Tenner and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Scientific Reports.

In The Last Decade

Laurence Coutellier

35 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laurence Coutellier United States 20 505 471 357 343 326 37 1.5k
Michael L. Lehmann United States 21 876 1.7× 336 0.7× 426 1.2× 442 1.3× 589 1.8× 30 1.7k
Oliver Ambrée Germany 25 518 1.0× 276 0.6× 317 0.9× 158 0.5× 610 1.9× 45 1.8k
Jacob H. Hollis Australia 15 596 1.2× 299 0.6× 179 0.5× 392 1.1× 232 0.7× 17 1.5k
Dragoš Inta Germany 26 369 0.7× 776 1.6× 271 0.8× 226 0.7× 347 1.1× 73 1.9k
Myriel Nyffeler Switzerland 14 543 1.1× 342 0.7× 350 1.0× 614 1.8× 796 2.4× 20 2.0k
J Adriaan Bouwknecht United States 16 334 0.7× 348 0.7× 204 0.6× 246 0.7× 244 0.7× 16 1.1k
Amaicha Mara Depino Argentina 23 270 0.5× 536 1.1× 684 1.9× 220 0.6× 282 0.9× 33 2.2k
Michael Q. Steinman United States 19 461 0.9× 431 0.9× 264 0.7× 567 1.7× 180 0.6× 32 1.4k
Arnaud Cressant France 17 308 0.6× 401 0.9× 241 0.7× 175 0.5× 432 1.3× 25 1.7k
Valérie Lemaire France 21 909 1.8× 608 1.3× 245 0.7× 625 1.8× 186 0.6× 40 2.3k

Countries citing papers authored by Laurence Coutellier

Since Specialization
Citations

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

Fields of papers citing papers by Laurence Coutellier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laurence Coutellier

This figure shows the co-authorship network connecting the top 25 collaborators of Laurence Coutellier. A scholar is included among the top collaborators of Laurence Coutellier 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 Laurence Coutellier. Laurence Coutellier 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.
Coutellier, Laurence, et al.. (2024). Early spatial recognition memory deficits in 5XFAD female mice are associated with disruption of prefrontal parvalbumin neurons. Brain Research. 1841. 149122–149122. 1 indexed citations
2.
Rangel‐Barajas, Claudia, et al.. (2023). Sex-Specific Timelines for Adaptations of Prefrontal Parvalbumin Neurons in Response to Stress and Changes in Anxiety- and Depressive-Like Behaviors. eNeuro. 10(3). ENEURO.0300–22.2023. 12 indexed citations
3.
Page, Chloe E. & Laurence Coutellier. (2023). Kv3.1 Voltage-gated Potassium Channels Modulate Anxiety-like Behaviors in Female Mice. Neuroscience. 538. 68–79. 1 indexed citations
5.
Shepard, Ryan M., et al.. (2020). Sex Differences in the Sustained Effects of Ketamine on Resilience to Chronic Stress. Frontiers in Behavioral Neuroscience. 14. 581360–581360. 18 indexed citations
6.
Page, Chloe E., et al.. (2019). Prefrontal parvalbumin cells are sensitive to stress and mediate anxiety-related behaviors in female mice. Scientific Reports. 9(1). 19772–19772. 69 indexed citations
7.
Rice, James Mahmud, Laurence Coutellier, Jeffrey L. Weiner, & Chen Gu. (2019). Region-specific interneuron demyelination and heightened anxiety-like behavior induced by adolescent binge alcohol treatment. Acta Neuropathologica Communications. 7(1). 173–173. 27 indexed citations
8.
Page, Chloe E., Jessica Alexander, Ryan M. Shepard, & Laurence Coutellier. (2018). Npas4 deficiency interacts with adolescent stress to disrupt prefrontal GABAergic maturation and adult cognitive flexibility. Genes Brain & Behavior. 17(6). e12459–e12459. 23 indexed citations
10.
Coutellier, Laurence, et al.. (2017). Npas4 deficiency and prenatal stress interact to affect social recognition in mice. Genes Brain & Behavior. 17(5). e12448–e12448. 17 indexed citations
11.
Shepard, Ryan M. & Laurence Coutellier. (2017). Changes in the Prefrontal Glutamatergic and Parvalbumin Systems of Mice Exposed to Unpredictable Chronic Stress. Molecular Neurobiology. 55(3). 2591–2602. 76 indexed citations
13.
Coutellier, Laurence, et al.. (2015). Npas4 deficiency increases vulnerability to juvenile stress in mice. Behavioural Brain Research. 295. 17–25. 24 indexed citations
14.
Stephan, Alexander, Daniel V. Madison, José Marı́a Mateos, et al.. (2013). A Dramatic Increase of C1q Protein in the CNS during Normal Aging. Journal of Neuroscience. 33(33). 13460–13474. 329 indexed citations
15.
Coutellier, Laurence, Simret Beraki, Pooneh Memar Ardestani, Nay L. Saw, & Mehrdad Shamloo. (2012). Npas4: A Neuronal Transcription Factor with a Key Role in Social and Cognitive Functions Relevant to Developmental Disorders. PLoS ONE. 7(9). e46604–e46604. 93 indexed citations
16.
Coutellier, Laurence & Ted B. Usdin. (2011). Enhanced long-term fear memory and increased anxiety and depression-like behavior after exposure to an aversive event in mice lacking TIP39 signaling. Behavioural Brain Research. 222(1). 265–269. 19 indexed citations
17.
Coutellier, Laurence, et al.. (2011). Maternal Absence of the Parathyroid Hormone 2 Receptor Affects Postnatal Pup Development. Journal of Neuroendocrinology. 23(7). 612–619. 12 indexed citations
18.
Coutellier, Laurence, et al.. (2010). TIP39 modulates effects of novelty-induced arousal on memory. Genes Brain & Behavior. 10(1). 90–99. 15 indexed citations
19.
Coutellier, Laurence, et al.. (2008). Effects of rat odour and shelter on maternal behaviour in C57BL/6 dams and on fear and stress responses in their adult offspring. Physiology & Behavior. 94(3). 393–404. 22 indexed citations
20.
Coutellier, Laurence, et al.. (2007). Variations in the postnatal maternal environment in mice: Effects on maternal behaviour and behavioural and endocrine responses in the adult offspring. Physiology & Behavior. 93(1-2). 395–407. 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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