Edi Barkai

3.8k total citations
72 papers, 3.0k citations indexed

About

Edi Barkai is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Sensory Systems. According to data from OpenAlex, Edi Barkai has authored 72 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Cellular and Molecular Neuroscience, 45 papers in Cognitive Neuroscience and 40 papers in Sensory Systems. Recurrent topics in Edi Barkai's work include Neuroscience and Neuropharmacology Research (49 papers), Olfactory and Sensory Function Studies (40 papers) and Memory and Neural Mechanisms (30 papers). Edi Barkai is often cited by papers focused on Neuroscience and Neuropharmacology Research (49 papers), Olfactory and Sensory Function Studies (40 papers) and Memory and Neural Mechanisms (30 papers). Edi Barkai collaborates with scholars based in Israel, United States and China. Edi Barkai's co-authors include Michael E. Hasselmo, Drorit Saar, Yoram Grossman, Eric Schnell, Inbar Brosh, Donald G. Rainnie, Robert W. McCarley, Heinz Grunze, Shira Knafo and Kobi Rosenblum and has published in prestigious journals such as Neuron, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Edi Barkai

70 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edi Barkai Israel 29 2.4k 1.8k 861 587 315 72 3.0k
John M. Bekkers Australia 31 4.2k 1.7× 2.1k 1.2× 676 0.8× 2.2k 3.7× 364 1.2× 56 5.1k
Ben W. Strowbridge United States 24 1.8k 0.8× 846 0.5× 1.2k 1.4× 457 0.8× 220 0.7× 47 2.5k
Nicolas X. Tritsch United States 21 1.9k 0.8× 966 0.5× 600 0.7× 1.1k 1.9× 158 0.5× 29 3.1k
Mineto Yokoi Japan 10 1.9k 0.8× 493 0.3× 580 0.7× 960 1.6× 264 0.8× 15 2.3k
Dheeraj S. Roy United States 18 2.1k 0.9× 2.0k 1.1× 297 0.3× 650 1.1× 405 1.3× 23 3.5k
Ritchie E. Brown United States 37 1.9k 0.8× 3.8k 2.2× 748 0.9× 1.0k 1.8× 138 0.4× 73 6.0k
Fiona E. N. LeBeau United Kingdom 35 3.4k 1.4× 3.6k 2.0× 322 0.4× 1.1k 1.9× 312 1.0× 65 5.0k
Veronica Egger Germany 16 1.4k 0.6× 889 0.5× 611 0.7× 279 0.5× 159 0.5× 33 1.9k
Derek L. Buhl United States 20 2.9k 1.2× 2.4k 1.4× 211 0.2× 758 1.3× 296 0.9× 42 4.0k
Arianna Maffei United States 25 2.0k 0.8× 1.9k 1.1× 274 0.3× 945 1.6× 473 1.5× 44 3.1k

Countries citing papers authored by Edi Barkai

Since Specialization
Citations

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

Fields of papers citing papers by Edi Barkai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edi Barkai

This figure shows the co-authorship network connecting the top 25 collaborators of Edi Barkai. A scholar is included among the top collaborators of Edi Barkai 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 Edi Barkai. Edi Barkai 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.
Lamprecht, Raphael, et al.. (2024). Learning‐induced bidirectional enhancement of inhibitory synaptic metaplasticity. The Journal of Physiology. 602(10). 2343–2358.
2.
Ma, Xiaoyu, Yiyao Zhang, Lina Wang, et al.. (2020). The Firing of Theta State-Related Septal Cholinergic Neurons Disrupt Hippocampal Ripple Oscillations via Muscarinic Receptors. Journal of Neuroscience. 40(18). 3591–3603. 43 indexed citations
3.
Johenning, Friedrich W., et al.. (2019). A Cellular Mechanism Underlying Enhanced Capability for Complex Olfactory Discrimination Learning. eNeuro. 6(1). ENEURO.0198–18.2019. 12 indexed citations
4.
Lin, Longnian, et al.. (2018). Complex-learning Induced Modifications in Synaptic Inhibition: Mechanisms and Functional Significance. Neuroscience. 381. 105–114. 6 indexed citations
5.
Cohen, Yehudit, Donald A. Wilson, & Edi Barkai. (2013). Differential Modifications of Synaptic Weights During Odor Rule Learning: Dynamics of Interaction Between the Piriform Cortex with Lower and Higher Brain Areas. Cerebral Cortex. 25(1). 180–191. 26 indexed citations
6.
Saar, Drorit, et al.. (2013). A Novel Whole-Cell Mechanism for Long-Term Memory Enhancement. PLoS ONE. 8(7). e68131–e68131. 12 indexed citations
7.
Rosenblum, Kobi, et al.. (2009). Olfactory‐learning abilities are correlated with the rate by which intrinsic neuronal excitability is modulated in the piriform cortex. European Journal of Neuroscience. 30(7). 1339–1348. 15 indexed citations
8.
Liraz, Ori, Kobi Rosenblum, & Edi Barkai. (2009). CAMKII Activation Is Not Required for Maintenance of Learning-Induced Enhancement of Neuronal Excitability. PLoS ONE. 4(1). e4289–e4289. 8 indexed citations
9.
Cohen, Yehudit, Inbal Reuveni, Edi Barkai, & Mouna Maroun. (2008). Olfactory Learning-Induced Long-Lasting Enhancement of Descending and Ascending Synaptic Transmission to the Piriform Cortex. Journal of Neuroscience. 28(26). 6664–6669. 53 indexed citations
10.
Brosh, Inbar, et al.. (2007). A Novel Role for Extracellular Signal-Regulated Kinase in Maintaining Long-Term Memory-Relevant Excitability Changes. Journal of Neuroscience. 27(46). 12584–12589. 56 indexed citations
11.
Barkai, Edi, et al.. (2007). Upregulation of Neurotrophic Factors Selectively in Frontal Cortex in Response to Olfactory Discrimination Learning. Neural Plasticity. 2007. 1–6. 11 indexed citations
12.
Brosh, Inbar, Kobi Rosenblum, & Edi Barkai. (2006). Learning-Induced Reversal of the Effect of Noradrenalin on the Postburst AHP. Journal of Neurophysiology. 96(4). 1728–1733. 30 indexed citations
13.
Cohen, Hagit, et al.. (2005). A Cellular Correlate of Learning-induced Metaplasticity in the Hippocampus. Cerebral Cortex. 16(4). 460–468. 99 indexed citations
14.
Brosh, Inbar & Edi Barkai. (2004). Learning-Induced Long-Term Synaptic Modifications in the Olfactory Cortex. Current Neurovascular Research. 1(4). 389–395. 11 indexed citations
15.
Knafo, Shira, Edi Barkai, Ana I. Herrero, et al.. (2004). Olfactory learning-related NCAM expression is state, time, and location specific and is correlated with individual learning capabilities. Hippocampus. 15(3). 316–325. 22 indexed citations
16.
Quinlan, Elizabeth M., et al.. (2004). A Molecular Mechanism for Stabilization of Learning-Induced Synaptic Modifications. Neuron. 41(2). 185–192. 124 indexed citations
17.
Brosh, Inbar, et al.. (2002). SHORT COMMUNICATION Learning‐induced reduction in post‐burst after‐hyperpolarization (AHP) is mediated by activation of PKC. European Journal of Neuroscience. 16(5). 965–969. 35 indexed citations
18.
Saar, Drorit, Yoram Grossman, & Edi Barkai. (1998). Reduced after‐hyperpolarization in rat piriform cortex pyramidal neurons is associated with increased learning capability during operant conditioning. European Journal of Neuroscience. 10(4). 1518–1523. 177 indexed citations
19.
Hasselmo, Michael E., Eric Schnell, Joshua D. Berke, & Edi Barkai. (1994). A model of the hippocampus combining self-organization and associative memory function. Neural Information Processing Systems. 7. 77–84. 8 indexed citations
20.
Golan, Hava M., Edi Barkai, & Yoram Grossman. (1991). High CO2-bicarbonate buffer modifies GABAergic inhibitory effect at the crayfish neuromuscular synapse. Brain Research. 567(1). 149–152. 2 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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