Laurence Cathala

1.5k total citations
16 papers, 1.1k citations indexed

About

Laurence Cathala is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Laurence Cathala has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cellular and Molecular Neuroscience, 9 papers in Molecular Biology and 5 papers in Cognitive Neuroscience. Recurrent topics in Laurence Cathala's work include Neuroscience and Neuropharmacology Research (13 papers), Ion channel regulation and function (6 papers) and Neural dynamics and brain function (5 papers). Laurence Cathala is often cited by papers focused on Neuroscience and Neuropharmacology Research (13 papers), Ion channel regulation and function (6 papers) and Neural dynamics and brain function (5 papers). Laurence Cathala collaborates with scholars based in France, United Kingdom and Canada. Laurence Cathala's co-authors include Stuart Cull-Candy, Danièle Paupardin‐Tritsch, David A. DiGregorio, Charu Misra, Volker Steuber, R. Angus Silver, Jason S. Rothman, Therése Abrahamsson, Mark Farrant and Stephen G. Brickley and has published in prestigious journals such as Nature, Neuron and Journal of Neuroscience.

In The Last Decade

Laurence Cathala

16 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
Laurence Cathala France 13 758 474 411 143 106 16 1.1k
Bassam Hamam Canada 11 775 1.0× 749 1.6× 268 0.7× 56 0.4× 102 1.0× 15 1.1k
J Křivánek Czechia 14 497 0.7× 303 0.6× 278 0.7× 76 0.5× 31 0.3× 65 1.1k
Anna I. Cowan Australia 11 414 0.5× 184 0.4× 269 0.7× 79 0.6× 10 0.1× 12 828
Nicholas P. Poolos United States 21 1.6k 2.1× 605 1.3× 1.1k 2.6× 65 0.5× 35 0.3× 33 1.9k
Daniel Rohrer United States 18 619 0.8× 123 0.3× 1.2k 3.0× 67 0.5× 123 1.2× 27 1.9k
Jokūbas Žiburkus United States 16 931 1.2× 750 1.6× 343 0.8× 137 1.0× 23 0.2× 25 1.3k
Jay S. Coggan United States 18 546 0.7× 182 0.4× 639 1.6× 66 0.5× 22 0.2× 37 1.1k
Alcino J. Silva United States 13 268 0.4× 269 0.6× 216 0.5× 246 1.7× 21 0.2× 25 911
Joseph V. Raimondo South Africa 20 944 1.2× 373 0.8× 446 1.1× 61 0.4× 19 0.2× 40 1.2k
Varun Sreenivasan United States 11 612 0.8× 657 1.4× 161 0.4× 100 0.7× 42 0.4× 16 1.0k

Countries citing papers authored by Laurence Cathala

Since Specialization
Citations

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

Fields of papers citing papers by Laurence Cathala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laurence Cathala

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

All Works

16 of 16 papers shown
1.
Zerlaut, Yann, Alexandra Tzilivaki, Gaël Moneron, et al.. (2025). Distinct dendritic integration strategies control dynamics of inhibition in the neocortex. Neuron. 113(18). 2962–2978.e10. 1 indexed citations
2.
Tran-Van-Minh, Alexandra, Therése Abrahamsson, Laurence Cathala, & David A. DiGregorio. (2016). Differential Dendritic Integration of Synaptic Potentials and Calcium in Cerebellar Interneurons. Neuron. 91(4). 837–850. 34 indexed citations
3.
Tran-Van-Minh, Alexandra, Romain D. Cazé, Therése Abrahamsson, et al.. (2015). Contribution of sublinear and supralinear dendritic integration to neuronal computations. Frontiers in Cellular Neuroscience. 9. 67–67. 93 indexed citations
4.
Eckert, Catherine, A. Emirian, Alban Le Monnier, et al.. (2014). Prevalence and pathogenicity of binary toxin–positive Clostridium difficile strains that do not produce toxins A and B. New Microbes and New Infections. 3. 12–17. 96 indexed citations
5.
Abrahamsson, Therése, Laurence Cathala, Ko Matsui, Ryuichi Shigemoto, & David A. DiGregorio. (2012). Thin Dendrites of Cerebellar Interneurons Confer Sublinear Synaptic Integration and a Gradient of Short-Term Plasticity. Neuron. 73(6). 1159–1172. 79 indexed citations
6.
Osorio, Nancy, Laurence Cathala, Miriam H. Meisler, et al.. (2010). Persistent Nav1.6 current at axon initial segments tunes spike timing of cerebellar granule cells. The Journal of Physiology. 588(4). 651–670. 58 indexed citations
7.
Rothman, Jason S., Laurence Cathala, Volker Steuber, & R. Angus Silver. (2009). Synaptic depression enables neuronal gain control. Nature. 457(7232). 1015–1018. 170 indexed citations
8.
Cathala, Laurence, Noémi Holderith, Zoltán Nusser, David A. DiGregorio, & Stuart Cull-Candy. (2005). Changes in synaptic structure underlie the developmental speeding of AMPA receptor–mediated EPSCs. Nature Neuroscience. 8(10). 1310–1318. 97 indexed citations
9.
Cathala, Laurence, Stephen G. Brickley, Stuart Cull-Candy, & Mark Farrant. (2003). Maturation of EPSCs and Intrinsic Membrane Properties Enhances Precision at a Cerebellar Synapse. Journal of Neuroscience. 23(14). 6074–6085. 118 indexed citations
10.
Cathala, Laurence, Alice Guyon, Daniel Eugène, & Danièle Paupardin‐Tritsch. (2002). α2-Adrenoceptor activation increases a cationic conductance and spontaneous GABAergic synaptic activity in dopaminergic neurones of the rat substantia nigra. Neuroscience. 115(4). 1059–1065. 25 indexed citations
11.
Guyon, Alice, Laurence Cathala, Danièle Paupardin‐Tritsch, & Daniel Eugène. (2002). Furosemide modulation of GABAA receptors in dopaminergic neurones of the rat substantia nigra. Neuropharmacology. 43(4). 750–763. 5 indexed citations
12.
Chesnoy‐Marchais, Dominique & Laurence Cathala. (2001). Modulation of glycine responses by dihydropyridines and verapamil in rat spinal neurons. European Journal of Neuroscience. 13(12). 2195–2204. 17 indexed citations
13.
Cathala, Laurence, Charu Misra, & Stuart Cull-Candy. (2000). Developmental Profile of the Changing Properties of NMDA Receptors at Cerebellar Mossy Fiber–Granule Cell Synapses. Journal of Neuroscience. 20(16). 5899–5905. 132 indexed citations
14.
Cathala, Laurence & Danièle Paupardin‐Tritsch. (1999). Effect of catecholamines on the hyperpolarization‐activated cationic Ih and the inwardly rectifying potassium IKir currents in the rat substantia nigra pars compacta. European Journal of Neuroscience. 11(2). 398–406. 35 indexed citations
15.
Cathala, Laurence & Danièle Paupardin‐Tritsch. (1997). Neurotensin Inhibition of the Hyperpolarization‐Activated Cation Current (Ih) in the Rat Substantia Nigra Pars Compacta Implicates the Protein Kinase C Pathway. The Journal of Physiology. 503(1). 87–97. 125 indexed citations
16.
Cathala, Laurence, et al.. (1975). Hepatocytic ultrastructure in splenectomized rats treated with pregnenolone-16α-carbonitrile, a microsomal enzyme inducer. Cells Tissues Organs. 93(1). 51–59. 1 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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