Tal Shomrat

1.3k total citations
20 papers, 811 citations indexed

About

Tal Shomrat is a scholar working on Ecology, Evolution, Behavior and Systematics, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Tal Shomrat has authored 20 papers receiving a total of 811 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Ecology, Evolution, Behavior and Systematics, 10 papers in Cellular and Molecular Neuroscience and 7 papers in Molecular Biology. Recurrent topics in Tal Shomrat's work include Cephalopods and Marine Biology (14 papers), Neurobiology and Insect Physiology Research (9 papers) and Planarian Biology and Electrostimulation (7 papers). Tal Shomrat is often cited by papers focused on Cephalopods and Marine Biology (14 papers), Neurobiology and Insect Physiology Research (9 papers) and Planarian Biology and Electrostimulation (7 papers). Tal Shomrat collaborates with scholars based in Israel, United States and Italy. Tal Shomrat's co-authors include Binyamin Hochner, Graziano Fiorito, Michael Levin, Sherry Aw, Joan M. Lemire, Vaibhav P. Pai, Douglas Blackiston, Euan R. Brown, Jennifer Basil and Cécile Bellanger and has published in prestigious journals such as PLoS ONE, Development and Current Biology.

In The Last Decade

Tal Shomrat

20 papers receiving 783 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tal Shomrat Israel 12 397 395 273 182 174 20 811
Quentin Gaudry United States 15 226 0.6× 661 1.7× 181 0.7× 51 0.3× 57 0.3× 22 934
Clint J. Perry United States 20 678 1.7× 270 0.7× 339 1.2× 185 1.0× 71 0.4× 30 1.4k
Ann E. Stuart United States 19 245 0.6× 976 2.5× 368 1.3× 82 0.5× 121 0.7× 48 1.3k
Giovanna Ponte Italy 14 682 1.7× 307 0.8× 92 0.3× 170 0.9× 13 0.1× 32 845
Peter D. Brodfuehrer United States 18 379 1.0× 589 1.5× 117 0.4× 173 1.0× 86 0.5× 31 888
Albert D. Carlson United States 16 268 0.7× 481 1.2× 271 1.0× 50 0.3× 47 0.3× 55 866
Jennifer Basil United States 14 497 1.3× 317 0.8× 29 0.1× 164 0.9× 16 0.1× 22 836
Nathan J. Tublitz United States 18 289 0.7× 729 1.8× 145 0.5× 71 0.4× 42 0.2× 27 976
B. U. Budelmann Germany 16 509 1.3× 356 0.9× 38 0.1× 84 0.5× 22 0.1× 24 603
Jean‐Marc Lassance Sweden 18 358 0.9× 435 1.1× 254 0.9× 110 0.6× 80 0.5× 28 1.2k

Countries citing papers authored by Tal Shomrat

Since Specialization
Citations

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

Fields of papers citing papers by Tal Shomrat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tal Shomrat

This figure shows the co-authorship network connecting the top 25 collaborators of Tal Shomrat. A scholar is included among the top collaborators of Tal Shomrat 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 Tal Shomrat. Tal Shomrat 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.
Shomrat, Tal, et al.. (2024). Neurophysiological measurements of planarian brain activity: a unique model for neuroscience research. Biology Open. 13(8). 1 indexed citations
2.
Hochner, Binyamin, et al.. (2023). Embodied mechanisms of motor control in the octopus. Current Biology. 33(20). R1119–R1125. 5 indexed citations
3.
Meirovitch, Yaron, Richard Schalek, Adi Peleg, et al.. (2023). Connectomics of the Octopus vulgaris vertical lobe provides insight into conserved and novel principles of a memory acquisition network. eLife. 12. 12 indexed citations
4.
Shomrat, Tal, et al.. (2021). How Does the Octopus Efficiently Control Its Flexible, Multi-Armed Body?. Frontiers for Young Minds. 9. 1 indexed citations
5.
Shomrat, Tal, et al.. (2021). Feel the light: sight-independent negative phototactic response in octopus arms. Journal of Experimental Biology. 224(5). 11 indexed citations
6.
7.
Zullo, Letizia, Francesco Paolo Mancini, Aram Megighian, et al.. (2020). The Diversity of Muscles and Their Regenerative Potential across Animals. Cells. 9(9). 1925–1925. 11 indexed citations
8.
Shomrat, Tal, et al.. (2019). Updated View on the Relation of the Pineal Gland to Autism Spectrum Disorders. Frontiers in Endocrinology. 10. 37–37. 11 indexed citations
9.
Shomrat, Tal, et al.. (2019). From synaptic input to muscle contraction: arm muscle cells of Octopus vulgaris show unique neuromuscular junction and excitation–contraction coupling properties. Proceedings of the Royal Society B Biological Sciences. 286(1909). 20191278–20191278. 13 indexed citations
10.
Shomrat, Tal, et al.. (2015). The vertical lobe of cephalopods: an attractive brain structure for understanding the evolution of advanced learning and memory systems. Journal of Comparative Physiology A. 201(9). 947–956. 46 indexed citations
11.
Blackiston, Douglas, Tal Shomrat, & Michael Levin. (2015). The stability of memories during brain remodeling: A perspective. Communicative & Integrative Biology. 8(5). e1073424–e1073424. 35 indexed citations
12.
Shomrat, Tal & Michael Levin. (2013). An automated training paradigm reveals long-term memory in planaria and its persistence through head regeneration. Journal of Experimental Biology. 216(Pt 20). 3799–810. 71 indexed citations
13.
Pai, Vaibhav P., Sherry Aw, Tal Shomrat, Joan M. Lemire, & Michael Levin. (2012). Transmembrane voltage potential controls embryonic eye patterning in Xenopus laevis. Development. 139(3). 623–623. 4 indexed citations
14.
Pai, Vaibhav P., Sherry Aw, Tal Shomrat, Joan M. Lemire, & Michael Levin. (2011). Transmembrane voltage potential controls embryonic eye patterning in Xenopus laevis. Development. 139(2). 313–323. 167 indexed citations
15.
Shomrat, Tal, et al.. (2011). Alternative Sites of Synaptic Plasticity in Two Homologous “Fan-out Fan-in” Learning and Memory Networks. Current Biology. 21(21). 1773–1782. 45 indexed citations
16.
17.
Blackiston, Douglas, et al.. (2010). A Second-Generation Device for Automated Training and Quantitative Behavior Analyses of Molecularly-Tractable Model Organisms. PLoS ONE. 5(12). e14370–e14370. 36 indexed citations
18.
Shomrat, Tal, et al.. (2008). The Octopus Vertical Lobe Modulates Short-Term Learning Rate and Uses LTP to Acquire Long-Term Memory. Current Biology. 18(5). 337–342. 77 indexed citations
19.
Hochner, Binyamin, Tal Shomrat, & Graziano Fiorito. (2006). The Octopus: A Model for a Comparative Analysis of the Evolution of Learning and Memory Mechanisms. Biological Bulletin. 210(3). 308–317. 148 indexed citations
20.
Hochner, Binyamin, et al.. (2003). A Learning and Memory Area in the Octopus Brain Manifests a Vertebrate-Like Long-Term Potentiation. Journal of Neurophysiology. 90(5). 3547–3554. 88 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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