Amir Bahar

476 total citations
11 papers, 389 citations indexed

About

Amir Bahar is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Amir Bahar has authored 11 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 6 papers in Cognitive Neuroscience and 3 papers in Molecular Biology. Recurrent topics in Amir Bahar's work include Neuroscience and Neuropharmacology Research (7 papers), Memory and Neural Mechanisms (6 papers) and Biochemical Analysis and Sensing Techniques (3 papers). Amir Bahar is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Memory and Neural Mechanisms (6 papers) and Biochemical Analysis and Sensing Techniques (3 papers). Amir Bahar collaborates with scholars based in Israel and United States. Amir Bahar's co-authors include Yadin Dudai, Shoshi Hazvi, Matthew L. Shapiro, Diego E. Berman, Jimmy Stehberg, Ehud Ahissar, Prasad Shirvalkar, Serge Rousselle, Abraham Nyska and Sagi Harnof and has published in prestigious journals such as Journal of Neuroscience, Journal of Neurophysiology and European Journal of Neuroscience.

In The Last Decade

Amir Bahar

10 papers receiving 383 citations

Peers

Amir Bahar

CMN

CN

ND

NEURO

SS

Afif J. Aqrabawi Canada

Leticia Ramı́rez-Lugo Mexico

Katarzyna Majak Poland

Nicolás Gutiérrez‐Castellanos Portugal

Melissa S. Haley United States

Thorsten Bus Germany

Ladislav Ouda Czechia

T. Otto United States

Miguel Remondes Portugal

Jinxiang Jiang China

Afif J. Aqrabawi Canada

Amir Bahar

196 ×0.7

CMN

176 ×0.6

CN

82 ×0.9

ND

56 ×0.7

NEURO

147 ×2.2

SS

Citations per year, relative to Amir Bahar Amir Bahar (= 1×) peers Afif J. Aqrabawi

Countries citing papers authored by Amir Bahar

Since Specialization

Citations

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

Fields of papers citing papers by Amir Bahar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amir Bahar

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

All Works

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11 of 11 papers shown

1.

Ramot, Yuval, et al.. (2024). Neural tissue tolerance to synthetic dural mater graft implantation in a rabbit durotomy model. Journal of Toxicologic Pathology. 37(2). 83–91.

2.

Ramot, Yuval, et al.. (2020). Local Tolerance and Biodegradability of a Novel Artificial Dura Mater Graft Following Implantation Onto a Dural Defect in Rabbits. Toxicologic Pathology. 48(6). 738–746. 9 indexed citations

3.

Bahar, Amir & Matthew L. Shapiro. (2012). Remembering to Learn: Independent Place and Journey Coding Mechanisms Contribute to Memory Transfer. Journal of Neuroscience. 32(6). 2191–2203. 15 indexed citations

4.

Bahar, Amir, Prasad Shirvalkar, & Matthew L. Shapiro. (2011). Memory-Guided Learning: CA1 and CA3 Neuronal Ensembles Differentially Encode the Commonalities and Differences between Situations. Journal of Neuroscience. 31(34). 12270–12281. 34 indexed citations

5.

Shirvalkar, Prasad & Amir Bahar. (2009). The Multiple Origins and Laminar Topography of the Hippocampal Theta Rhythm. Journal of Neuroscience. 29(22). 7111–7113. 1 indexed citations

6.

Bahar, Amir, et al.. (2004). Amygdalar circuits required for either consolidation or extinction of taste aversion memory are not required for reconsolidation. European Journal of Neuroscience. 19(4). 1115–1118. 89 indexed citations

7.

Bahar, Amir, Yadin Dudai, & Ehud Ahissar. (2004). Neural Signature of Taste Familiarity in the Gustatory Cortex of the Freely Behaving Rat. Journal of Neurophysiology. 92(6). 3298–3308. 46 indexed citations

8.

Bahar, Amir, et al.. (2003). The amygdalar circuit that acquires taste aversion memory differs from the circuit that extinguishes it. European Journal of Neuroscience. 17(7). 1527–1530. 118 indexed citations

9.

Berman, Diego E., Shoshi Hazvi, Jimmy Stehberg, Amir Bahar, & Yadin Dudai. (2003). Conflicting Processes in the Extinction of Conditioned Taste Aversion: Behavioral and Molecular Aspects of Latency, Apparent Stagnation, and Spontaneous Recovery. Learning & Memory. 10(1). 16–25. 75 indexed citations

10.

Bahar, Amir, Shoshi Hazvi, Raphael Lamprecht, Noa Ofen, & Yadin Dudai. (1997). Molecular mechanisms of conditioned taste aversion memory in the rat insular cortex Potential involvement of protein kinase C. The Society for Neuroscience Abstracts. 23. 2117. 1 indexed citations

11.

Bahar, Amir & Yadin Dudai. (1997). Potential role of protein kinase C in conditioned taste aversion in the rat insular cortex. Neuroscience Letters. 237. S5–S6. 1 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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