Marianne Bezaire

1.3k total citations
10 papers, 809 citations indexed

About

Marianne Bezaire is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Marianne Bezaire has authored 10 papers receiving a total of 809 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 8 papers in Cognitive Neuroscience and 4 papers in Molecular Biology. Recurrent topics in Marianne Bezaire's work include Neuroscience and Neuropharmacology Research (8 papers), Neural dynamics and brain function (5 papers) and Memory and Neural Mechanisms (5 papers). Marianne Bezaire is often cited by papers focused on Neuroscience and Neuropharmacology Research (8 papers), Neural dynamics and brain function (5 papers) and Memory and Neural Mechanisms (5 papers). Marianne Bezaire collaborates with scholars based in United States and Hungary. Marianne Bezaire's co-authors include Iván Soltész, Ivan Marchionni, Csaba Varga, Sang-Hun Lee, Attila Losonczy, Matthew Lovett-Barron, Nathan Danielson, Ivan Soltesz, Ivan Raikov and Kelly Burk and has published in prestigious journals such as Neuron, Neuroscience and eLife.

In The Last Decade

Marianne Bezaire

10 papers receiving 807 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marianne Bezaire United States	7	662	609	122	96	79	10	809
Debora Ledergerber Switzerland	10	524 0.8×	508 0.8×	102 0.8×	109 1.1×	135 1.7×	15	797
Linda Katona United Kingdom	11	780 1.2×	673 1.1×	173 1.4×	194 2.0×	69 0.9×	12	926
Thomas Hainmueller Germany	5	359 0.5×	368 0.6×	117 1.0×	84 0.9×	96 1.2×	7	593
R. Irene Jacobsen Switzerland	7	558 0.8×	476 0.8×	93 0.8×	170 1.8×	62 0.8×	8	718
Benjamin A. Suter United States	15	634 1.0×	573 0.9×	56 0.5×	167 1.7×	60 0.8×	19	880
Johan Winnubst United States	9	609 0.9×	603 1.0×	113 0.9×	191 2.0×	61 0.8×	10	899
Audrey Mercer United Kingdom	15	535 0.8×	411 0.7×	90 0.7×	194 2.0×	44 0.6×	22	689
Sheng-Jia Zhang Norway	8	684 1.0×	540 0.9×	111 0.9×	267 2.8×	77 1.0×	9	986
Jason C. Wester United States	12	711 1.1×	496 0.8×	157 1.3×	250 2.6×	113 1.4×	19	944
Segundo J. Guzman Austria	10	540 0.8×	461 0.8×	112 0.9×	136 1.4×	62 0.8×	13	792

Countries citing papers authored by Marianne Bezaire

Since Specialization

Citations

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

Fields of papers citing papers by Marianne Bezaire

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marianne Bezaire

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

All Works

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10 of 10 papers shown

Bezaire, Marianne, et al.. (2023). The Effects of Gabapentin on Epileptic Seizures: A Computational Model. Journal of Student Research. 11(4). 1 indexed citations

Hasselmo, Michael E., Andrew S. Alexander, Jennifer C. Robinson, et al.. (2020). The Unexplored Territory of Neural Models: Potential Guides for Exploring the Function of Metabotropic Neuromodulation. Neuroscience. 456. 143–158. 4 indexed citations

Bezaire, Marianne, et al.. (2016). Interneuronal mechanisms of hippocampal theta oscillations in a full-scale model of the rodent CA1 circuit. eLife. 5. 123 indexed citations

Soltész, Iván, et al.. (2016). Simulation results from a network model of the isolated hippocampal CA1 subfield in rat. OSF Preprints (OSF Preprints). 1 indexed citations

Bezaire, Marianne, et al.. (2015). Proton Radiation Alters Intrinsic and Synaptic Properties of CA1 Pyramidal Neurons of the Mouse Hippocampus. Radiation Research. 183(2). 208–208. 52 indexed citations

Armstrong, Caren, Jessica Wang, Soo Yeun Lee, et al.. (2015). Target‐selectivity of parvalbumin‐positive interneurons in layer II of medial entorhinal cortex in normal and epileptic animals. Hippocampus. 26(6). 779–793. 25 indexed citations

Lee, Sang-Hun, Ivan Marchionni, Marianne Bezaire, et al.. (2014). Parvalbumin-Positive Basket Cells Differentiate among Hippocampal Pyramidal Cells. Neuron. 82(5). 1129–1144. 237 indexed citations

Varga, Csaba, Mikko Oijala, Gergely Szabó, et al.. (2014). Functional fission of parvalbumin interneuron classes during fast network events. eLife. 3. 89 indexed citations

Bezaire, Marianne & Iván Soltész. (2013). Quantitative assessment of CA1 local circuits: Knowledge base for interneuron-pyramidal cell connectivity. Hippocampus. 23(9). 751–785. 245 indexed citations

10.

Bezaire, Marianne, et al.. (2012). Toward a full-scale computational model of the rat dentate gyrus. Frontiers in Neural Circuits. 6. 83–83. 32 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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