Shunit Gal-Ben-Ari

944 total citations
9 papers, 611 citations indexed

About

Shunit Gal-Ben-Ari is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Shunit Gal-Ben-Ari has authored 9 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 2 papers in Cognitive Neuroscience. Recurrent topics in Shunit Gal-Ben-Ari's work include Neuroscience and Neuropharmacology Research (5 papers), Receptor Mechanisms and Signaling (3 papers) and Biochemical Analysis and Sensing Techniques (2 papers). Shunit Gal-Ben-Ari is often cited by papers focused on Neuroscience and Neuropharmacology Research (5 papers), Receptor Mechanisms and Signaling (3 papers) and Biochemical Analysis and Sensing Techniques (2 papers). Shunit Gal-Ben-Ari collaborates with scholars based in Israel, United Kingdom and United States. Shunit Gal-Ben-Ari's co-authors include Kobi Rosenblum, Iliana Barrera, Marcelo Ehrlich, Tali Rosenberg, Michael R. Kreutz, Daniela C. Dieterich, Eckart D. Gundelfinger, Noam Ziv, Dorit Ben‐Shachar and Rachel Karry and has published in prestigious journals such as Learning & Memory, Neurobiology of Learning and Memory and The International Journal of Neuropsychopharmacology.

In The Last Decade

Shunit Gal-Ben-Ari

9 papers receiving 606 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shunit Gal-Ben-Ari Israel	8	325	232	87	72	70	9	611
Nadia Lelutiu United States	10	329 1.0×	438 1.9×	73 0.8×	100 1.4×	42 0.6×	12	1.0k
Cindy Lin United States	12	520 1.6×	131 0.6×	143 1.6×	68 0.9×	82 1.2×	19	919
Casey L. Kilpatrick United States	7	299 0.9×	295 1.3×	67 0.8×	37 0.5×	33 0.5×	9	565
Joel G. Hashimoto United States	17	318 1.0×	270 1.2×	61 0.7×	79 1.1×	26 0.4×	36	824
Molee Chakraborty United States	10	219 0.7×	264 1.1×	96 1.1×	101 1.4×	40 0.6×	20	562
Alexandra Vaccaro Canada	10	295 0.9×	168 0.7×	116 1.3×	39 0.5×	90 1.3×	12	928
Nicola Forte Italy	14	343 1.1×	105 0.5×	76 0.9×	76 1.1×	47 0.7×	35	698
Yoshimoto Kiyohara Japan	6	393 1.2×	181 0.8×	75 0.9×	64 0.9×	69 1.0×	7	714
Deborah Hartman United States	17	529 1.6×	291 1.3×	120 1.4×	89 1.2×	52 0.7×	39	890

Countries citing papers authored by Shunit Gal-Ben-Ari

Since Specialization

Citations

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

Fields of papers citing papers by Shunit Gal-Ben-Ari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shunit Gal-Ben-Ari. 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 Shunit Gal-Ben-Ari. The network helps show where Shunit Gal-Ben-Ari may publish in the future.

Co-authorship network of co-authors of Shunit Gal-Ben-Ari

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

All Works

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9 of 9 papers shown

David, Orit, et al.. (2020). D1 Dopamine Receptor Activation Induces Neuronal eEF2 Pathway-Dependent Protein Synthesis. Frontiers in Molecular Neuroscience. 13. 67–67. 23 indexed citations

Gal-Ben-Ari, Shunit, Iliana Barrera, Marcelo Ehrlich, & Kobi Rosenblum. (2019). PKR: A Kinase to Remember. Frontiers in Molecular Neuroscience. 11. 480–480. 182 indexed citations

Sharma, Vijendra, et al.. (2018). Trace Fear Conditioning: Procedure for Assessing Complex Hippocampal Function in Mice. BIO-PROTOCOL. 8(16). e2475–e2475. 5 indexed citations

Levitan, David, Shunit Gal-Ben-Ari, Christopher E. Heise, et al.. (2016). The differential role of cortical protein synthesis in taste memory formation and persistence. npj Science of Learning. 1(1). 16001–16001. 14 indexed citations

Rosenberg, Tali, Shunit Gal-Ben-Ari, Daniela C. Dieterich, et al.. (2014). The roles of protein expression in synaptic plasticity and memory consolidation. Frontiers in Molecular Neuroscience. 7. 86–86. 123 indexed citations

Gal-Ben-Ari, Shunit, et al.. (2013). The role of eEF2 pathway in learning and synaptic plasticity. Neurobiology of Learning and Memory. 105. 100–106. 88 indexed citations

Gal-Ben-Ari, Shunit, Justin W. Kenney, Orit David, et al.. (2012). Consolidation and translation regulation: Figure 1.. Learning & Memory. 19(9). 410–422. 70 indexed citations

Gal-Ben-Ari, Shunit & Kobi Rosenblum. (2012). Molecular Mechanisms Underlying Memory Consolidation of Taste Information in the Cortex. Frontiers in Behavioral Neuroscience. 5. 87–87. 67 indexed citations

Karry, Rachel, et al.. (2011). Differential expression of genes encoding neuronal ion-channel subunits in major depression, bipolar disorder and schizophrenia: implications for pathophysiology. The International Journal of Neuropsychopharmacology. 15(7). 869–882. 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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