Caroline Mailhes‐Hamon

746 total citations
17 papers, 487 citations indexed

About

Caroline Mailhes‐Hamon is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Caroline Mailhes‐Hamon has authored 17 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 8 papers in Cognitive Neuroscience and 5 papers in Developmental Neuroscience. Recurrent topics in Caroline Mailhes‐Hamon's work include Neuroscience and Neuropharmacology Research (9 papers), Photoreceptor and optogenetics research (5 papers) and Axon Guidance and Neuronal Signaling (5 papers). Caroline Mailhes‐Hamon is often cited by papers focused on Neuroscience and Neuropharmacology Research (9 papers), Photoreceptor and optogenetics research (5 papers) and Axon Guidance and Neuronal Signaling (5 papers). Caroline Mailhes‐Hamon collaborates with scholars based in France, United States and Germany. Caroline Mailhes‐Hamon's co-authors include Sonia Garel, Maryama Keita, Ludmilla Lokmane, Clément Léna, Daniela Popa, Guillermina López‐Bendito, Franck Bielle, Jimena Laura Frontera, Marc Tessier‐Lavigne and Catherine Verney and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Caroline Mailhes‐Hamon

15 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Caroline Mailhes‐Hamon France 11 338 146 142 133 79 17 487
Jocelyn J. Lippman‐Bell United States 9 388 1.1× 104 0.7× 168 1.2× 89 0.7× 99 1.3× 11 528
Keiko Tominaga‐Yoshino Japan 15 414 1.2× 112 0.8× 225 1.6× 125 0.9× 80 1.0× 28 584
Roberta Cesa Italy 16 333 1.0× 148 1.0× 168 1.2× 63 0.5× 117 1.5× 19 511
Anne‐Emilie Allain France 11 278 0.8× 82 0.6× 140 1.0× 54 0.4× 47 0.6× 17 414
Stacey L. Reeber United States 10 200 0.6× 112 0.8× 131 0.9× 55 0.4× 132 1.7× 14 392
César Porrero Spain 12 389 1.2× 120 0.8× 114 0.8× 364 2.7× 73 0.9× 18 663
Letizia Mariotti Italy 11 410 1.2× 68 0.5× 186 1.3× 192 1.4× 176 2.2× 11 605
Alberto Sánchez-Aguilera Spain 10 464 1.4× 77 0.5× 144 1.0× 304 2.3× 92 1.2× 13 654
María Hidalgo‐Figueroa Spain 10 323 1.0× 178 1.2× 190 1.3× 67 0.5× 50 0.6× 20 568
Ananya Chowdhury United States 11 296 0.9× 62 0.4× 124 0.9× 237 1.8× 58 0.7× 16 485

Countries citing papers authored by Caroline Mailhes‐Hamon

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Mailhes‐Hamon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caroline Mailhes‐Hamon. 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 Caroline Mailhes‐Hamon. The network helps show where Caroline Mailhes‐Hamon may publish in the future.

Co-authorship network of co-authors of Caroline Mailhes‐Hamon

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

All Works

17 of 17 papers shown
1.
Pizzamiglio, Lara, Élise Morice, Simon Bossi, et al.. (2025). Excitatory glycine receptors control ventral hippocampus synaptic plasticity and anxiety-related behaviors. Proceedings of the National Academy of Sciences. 122(37). e2501118122–e2501118122.
2.
Férézou, Isabelle, et al.. (2023). Plasticity of thalamocortical axons is regulated by serotonin levels modulated by preterm birth. Proceedings of the National Academy of Sciences. 120(33). e2301644120–e2301644120.
3.
Mailhes‐Hamon, Caroline, et al.. (2023). Neurotransmitter content heterogeneity within an interneuron class shapes inhibitory transmission at a central synapse. Frontiers in Cellular Neuroscience. 16. 1060189–1060189. 6 indexed citations
4.
Álvarez, Gonzalo, Ayush Srivastava, Caroline Mailhes‐Hamon, et al.. (2022). p53/p21 pathway activation contributes to the ependymal fate decision downstream of GemC1. Cell Reports. 41(11). 111810–111810. 9 indexed citations
5.
Chenouard, Nicolas, Caroline Mailhes‐Hamon, Ludmilla Lokmane, et al.. (2022). Dynamic interplay between thalamic activity and Cajal-Retzius cells regulates the wiring of cortical layer 1. Cell Reports. 39(2). 110667–110667. 10 indexed citations
6.
Frontera, Jimena Laura, Caroline Mailhes‐Hamon, Sylvie Pérez, et al.. (2022). Cerebellar stimulation prevents Levodopa-induced dyskinesia in mice and normalizes activity in a motor network. Nature Communications. 13(1). 3211–3211. 13 indexed citations
7.
Schonewille, Martijn, Philippe Rostaing, Caroline Mailhes‐Hamon, et al.. (2021). NMDARs in granule cells contribute to parallel fiber–Purkinje cell synaptic plasticity and motor learning. Proceedings of the National Academy of Sciences. 118(37). 19 indexed citations
8.
Frontera, Jimena Laura, et al.. (2020). Bidirectional control of fear memories by cerebellar neurons projecting to the ventrolateral periaqueductal grey. Nature Communications. 11(1). 5207–5207. 73 indexed citations
9.
Shrivastava, Amulya Nidhi, Virginie Redeker, Laura Pieri, et al.. (2019). Clustering of Tau fibrils impairs the synaptic composition of α3‐Na + /K + ‐ ATP ase and AMPA receptors. The EMBO Journal. 38(3). 39 indexed citations
10.
Deleuze, Charlotte, Antonio Pazienti, Joana Lourenço, et al.. (2019). Strong preference for autaptic self-connectivity of neocortical PV interneurons facilitates their tuning to γ-oscillations. PLoS Biology. 17(9). e3000419–e3000419. 49 indexed citations
11.
Otsu, Yo, Salvatore Lecca, Katarzyna Pietrajtis, et al.. (2018). Functional Principles of Posterior Septal Inputs to the Medial Habenula. Cell Reports. 22(3). 693–705. 22 indexed citations
12.
Diana, Marco A., Ludmilla Lokmane, Maryama Keita, et al.. (2018). Active intermixing of indirect and direct neurons builds the striatal mosaic. Nature Communications. 9(1). 4725–4725. 18 indexed citations
13.
Keita, Maryama, Caroline Mailhes‐Hamon, Anna Noren Rubin, et al.. (2017). Tangential migration of corridor guidepost neurons contributes to anxiety circuits. The Journal of Comparative Neurology. 526(3). 397–411. 6 indexed citations
14.
Lokmane, Ludmilla, Rémi Proville, Nicolas Narboux‐Nême, et al.. (2013). Sensory Map Transfer to the Neocortex Relies on Pretarget Ordering of Thalamic Axons. Current Biology. 23(9). 810–816. 31 indexed citations
15.
Lokmane, Ludmilla, Sophie Chauvet, Caroline Mailhes‐Hamon, et al.. (2013). Pathfinding of Corticothalamic Axons Relies on a Rendezvous with Thalamic Projections. Neuron. 77(3). 472–484. 74 indexed citations
16.
Bielle, Franck, Maryama Keita, Caroline Mailhes‐Hamon, et al.. (2011). Slit2 Activity in the Migration of Guidepost Neurons Shapes Thalamic Projections during Development and Evolution. Neuron. 69(6). 1085–1098. 60 indexed citations
17.
Bielle, Franck, Eduardo Leyva‐Díaz, Ludmilla Lokmane, et al.. (2011). Emergent Growth Cone Responses to Combinations of Slit1 and Netrin 1 in Thalamocortical Axon Topography. Current Biology. 21(20). 1748–1755. 58 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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