Shahar Barbash

1.4k total citations
26 papers, 1.1k citations indexed

About

Shahar Barbash is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Shahar Barbash has authored 26 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 7 papers in Physiology. Recurrent topics in Shahar Barbash's work include Alzheimer's disease research and treatments (6 papers), MicroRNA in disease regulation (6 papers) and Neuroscience and Neuropharmacology Research (4 papers). Shahar Barbash is often cited by papers focused on Alzheimer's disease research and treatments (6 papers), MicroRNA in disease regulation (6 papers) and Neuroscience and Neuropharmacology Research (4 papers). Shahar Barbash collaborates with scholars based in Israel, United States and Sweden. Shahar Barbash's co-authors include Hermona Soreq, David Greenberg, Galit Shaltiel, Thomas P. Sakmar, S. Shoham, Geula Hanin, Evgenia Salta, Koen Bossers, Annerieke Sierksma and Stein Aerts and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Scientific Reports.

In The Last Decade

Shahar Barbash

26 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
Shahar Barbash Israel 14 711 393 257 199 144 26 1.1k
Carlos Lafourcade Chile 16 636 0.9× 282 0.7× 179 0.7× 291 1.5× 178 1.2× 30 1.3k
Bruno Bergmans Belgium 13 453 0.6× 257 0.7× 237 0.9× 114 0.6× 82 0.6× 28 934
Natalia Louneva United States 14 504 0.7× 105 0.3× 406 1.6× 230 1.2× 150 1.0× 21 1.1k
Lilach Soreq Israel 16 580 0.8× 242 0.6× 238 0.9× 219 1.1× 496 3.4× 23 1.2k
Luisa P. Cacheaux United States 9 510 0.7× 171 0.4× 114 0.4× 436 2.2× 301 2.1× 12 1.2k
Karina Hernández‐Ortega Mexico 16 474 0.7× 90 0.2× 274 1.1× 136 0.7× 127 0.9× 19 863
Derek Drake United States 6 508 0.7× 79 0.2× 258 1.0× 168 0.8× 106 0.7× 11 907
Tamar Lordkipanidze Georgia 12 286 0.4× 151 0.4× 113 0.4× 229 1.2× 196 1.4× 24 660
Franck Dufour France 11 377 0.5× 91 0.2× 222 0.9× 316 1.6× 117 0.8× 15 916
Simon Heß Germany 16 650 0.9× 200 0.5× 507 2.0× 207 1.0× 42 0.3× 25 1.7k

Countries citing papers authored by Shahar Barbash

Since Specialization
Citations

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

Fields of papers citing papers by Shahar Barbash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shahar Barbash

This figure shows the co-authorship network connecting the top 25 collaborators of Shahar Barbash. A scholar is included among the top collaborators of Shahar Barbash 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 Shahar Barbash. Shahar Barbash 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.
Barbash, Shahar, et al.. (2023). Higher throughput workflow with sensitive, reliable and automatic quantification of myelination in vitro suitable for drug screening. Scientific Reports. 13(1). 2883–2883. 4 indexed citations
2.
Barbash, Shahar, et al.. (2019). 14-3-3 signal adaptor and scaffold proteins mediate GPCR trafficking. Scientific Reports. 9(1). 11156–11156. 19 indexed citations
3.
Barbash, Shahar, et al.. (2018). Detection of Concordance between Transcriptional Levels of GPCRs and Receptor-Activity-Modifying Proteins. iScience. 11. 366–374. 13 indexed citations
4.
Barbash, Shahar & Thomas P. Sakmar. (2017). Brain gene expression signature on primate genomic sequence evolution. Scientific Reports. 7(1). 17329–17329. 4 indexed citations
5.
Barbash, Shahar & Thomas P. Sakmar. (2017). Length-dependent gene misexpression is associated with Alzheimer’s disease progression. Scientific Reports. 7(1). 190–190. 12 indexed citations
6.
Barbash, Shahar, Benjamin P. Garfinkel, Alon Simchovitz, et al.. (2017). Alzheimer's brains show inter-related changes in RNA and lipid metabolism. Neurobiology of Disease. 106. 1–13. 50 indexed citations
7.
Barbash, Shahar, Alon Simchovitz, Aron S. Buchman, et al.. (2017). Neuronal-expressed microRNA-targeted pseudogenes compete with coding genes in the human brain. Translational Psychiatry. 7(8). e1199–e1199. 17 indexed citations
8.
Kolisnyk, Benjamin, Mohammed Al‐Onaizi, Lilach Soreq, et al.. (2016). Cholinergic Surveillance over Hippocampal RNA Metabolism and Alzheimer's-Like Pathology. Cerebral Cortex. 27(7). bhw177–bhw177. 45 indexed citations
9.
Barbash, Shahar. (2015). Dynamics of social network structure for Alzheimer and Lymphoma scientific communities. Biology Direct. 10(1). 6–6. 1 indexed citations
10.
Barbash, Shahar, Sagiv Shifman, & Hermona Soreq. (2014). Global Coevolution of Human MicroRNAs and Their Target Genes. Molecular Biology and Evolution. 31(5). 1237–1247. 46 indexed citations
11.
Kolisnyk, Benjamin, Mohammed Al‐Onaizi, Mónica S. Guzmán, et al.. (2013). Forebrain Deletion of the Vesicular Acetylcholine Transporter Results in Deficits in Executive Function, Metabolic, and RNA Splicing Abnormalities in the Prefrontal Cortex. Journal of Neuroscience. 33(37). 14908–14920. 53 indexed citations
12.
Goll, Yael, Uriya Bekenstein, Shahar Barbash, et al.. (2013). Sustained Alzheimer's Amyloid Pathology in Myeloid Differentiation Protein-88-Deficient APPswe/PS1 Mice. Neurodegenerative Diseases. 13(2-3). 58–60. 6 indexed citations
13.
Lau, Pierre, Koen Bossers, Rekin’s Janky, et al.. (2013). Alteration of the micro RNA network during the progression of Alzheimer's disease. EMBO Molecular Medicine. 5(10). 1613–1634. 377 indexed citations
14.
Barbash, Shahar, Geula Hanin, & Hermona Soreq. (2013). Stereotactic Injection of MicroRNA-expressing Lentiviruses to the Mouse Hippocampus CA1 Region and Assessment of the Behavioral Outcome. Journal of Visualized Experiments. 14 indexed citations
15.
Berson, Amit, Shahar Barbash, Galit Shaltiel, et al.. (2012). Cholinergic‐associated loss of hnRNP‐A/B in Alzheimer's disease impairs cortical splicing and cognitive function in mice. EMBO Molecular Medicine. 4(8). 730–742. 127 indexed citations
16.
Shaltiel, Galit, et al.. (2012). Hippocampal microRNA-132 mediates stress-inducible cognitive deficits through its acetylcholinesterase target. Brain Structure and Function. 218(1). 59–72. 147 indexed citations
17.
Zimmerman, Gabriel, Galit Shaltiel, Shahar Barbash, et al.. (2012). Post-traumatic anxiety associates with failure of the innate immune receptor TLR9 to evade the pro-inflammatory NFκB pathway. Translational Psychiatry. 2(2). e78–e78. 51 indexed citations
18.
Ben‐Ari, Shani, Keren Ofek, Shahar Barbash, et al.. (2011). Similar cation channels mediate protection from cerebellar exitotoxicity by exercise and inheritance. Journal of Cellular and Molecular Medicine. 16(3). 555–568. 5 indexed citations
19.
Geyer, Brian C., et al.. (2011). Nicotinic stimulation induces Tristetraprolin over-production and attenuates inflammation in muscle. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1823(2). 368–378. 6 indexed citations
20.

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Carlos Lafourcade Breakdown of academic impact, for papers by Bruno Bergmans Breakdown of academic impact, for papers by Natalia Louneva Breakdown of academic impact, for papers by Lilach Soreq Breakdown of academic impact, for papers by Luisa P. Cacheaux Breakdown of academic impact, for papers by Karina Hernández‐Ortega Breakdown of academic impact, for papers by Derek Drake Breakdown of academic impact, for papers by Tamar Lordkipanidze Breakdown of academic impact, for papers by Franck Dufour Breakdown of academic impact, for papers by Simon Heß
Rankless by CCL
2026