Aya Zucca

497 total citations
10 papers, 334 citations indexed

About

Aya Zucca is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Aya Zucca has authored 10 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Cognitive Neuroscience. Recurrent topics in Aya Zucca's work include Neuroscience and Neuropharmacology Research (3 papers), Receptor Mechanisms and Signaling (3 papers) and Memory and Neural Mechanisms (3 papers). Aya Zucca is often cited by papers focused on Neuroscience and Neuropharmacology Research (3 papers), Receptor Mechanisms and Signaling (3 papers) and Memory and Neural Mechanisms (3 papers). Aya Zucca collaborates with scholars based in United States, Japan and Canada. Aya Zucca's co-authors include Jeffery R. Wickens, Stefano Zucca, Sho Aoki, Damon T. Page, Wen‐Chin Huang, Andrew W. Liu, T. Nakano, Yumiko Akamine, Paolo Botta and C. Fernando Valenzuela and has published in prestigious journals such as Journal of Neuroscience, Cell Reports and European Journal of Neuroscience.

In The Last Decade

Aya Zucca

10 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aya Zucca United States	7	182	156	133	62	37	10	334
Ryong-Moon Shin United States	5	214 1.2×	151 1.0×	104 0.8×	32 0.5×	45 1.2×	7	340
Daniel Eskenazi United States	5	314 1.7×	127 0.8×	174 1.3×	38 0.6×	19 0.5×	6	394
Elizabeth E. Manning Australia	11	229 1.3×	149 1.0×	86 0.6×	45 0.7×	34 0.9×	19	383
Marie‐Pierre Cossette Canada	9	189 1.0×	203 1.3×	66 0.5×	46 0.7×	41 1.1×	11	402
Sylvia Badurek United Kingdom	9	267 1.5×	150 1.0×	160 1.2×	38 0.6×	32 0.9×	13	444
Michael H. Riad United States	6	231 1.3×	185 1.2×	172 1.3×	41 0.7×	19 0.5×	6	424
Ludivine Therreau France	8	195 1.1×	153 1.0×	76 0.6×	75 1.2×	30 0.8×	8	310
Konstantin Kaganovsky United States	10	365 2.0×	227 1.5×	154 1.2×	51 0.8×	24 0.6×	13	475

Countries citing papers authored by Aya Zucca

Since Specialization

Citations

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

Fields of papers citing papers by Aya Zucca

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aya Zucca

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

All Works

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10 of 10 papers shown

Joseph, Nadine F., Aya Zucca, Jenna L. Wingfield, et al.. (2021). Molecular motor KIF3B in the prelimbic cortex constrains the consolidation of contextual fear memory. Molecular Brain. 14(1). 162–162. 4 indexed citations

Swarnkar, Supriya, Yosef Avchalumov, Isabel Espadas, et al.. (2021). Molecular motor protein KIF5C mediates structural plasticity and long-term memory by constraining local translation. Cell Reports. 36(2). 109369–109369. 19 indexed citations

Huang, Wen‐Chin, et al.. (2020). Social Behavior Is Modulated by Valence-Encoding mPFC-Amygdala Sub-circuitry. Cell Reports. 32(2). 107899–107899. 112 indexed citations

Clipperton‐Allen, Amy E., Ori S. Cohen, Massimiliano Aceti, et al.. (2019). Pten haploinsufficiency disrupts scaling across brain areas during development in mice. Translational Psychiatry. 9(1). 329–329. 14 indexed citations

Zucca, Stefano, Aya Zucca, T. Nakano, Sho Aoki, & Jeffery R. Wickens. (2018). Pauses in cholinergic interneuron firing exert an inhibitory control on striatal output in vivo. eLife. 7. 40 indexed citations

Aoki, Sho, Andrew W. Liu, Yumiko Akamine, et al.. (2018). Cholinergic interneurons in the rat striatum modulate substitution of habits. European Journal of Neuroscience. 47(10). 1194–1205. 30 indexed citations

Aoki, Sho, Andrew W. Liu, Aya Zucca, Stefano Zucca, & Jeffery R. Wickens. (2017). New Variations for Strategy Set-shifting in the Rat. Journal of Visualized Experiments. 2 indexed citations

Liu, Andrew W., et al.. (2017). New Variations for Strategy Set-shifting in the Rat. Journal of Visualized Experiments. 1 indexed citations

Aoki, Sho, Andrew W. Liu, Aya Zucca, Stefano Zucca, & Jeffery R. Wickens. (2015). Role of Striatal Cholinergic Interneurons in Set-Shifting in the Rat. Journal of Neuroscience. 35(25). 9424–9431. 103 indexed citations

10.

Botta, Paolo, Aya Zucca, & C. Fernando Valenzuela. (2014). Acute ethanol exposure inhibits silencing of cerebellar Golgi cell firing induced by granule cell axon input. Frontiers in Integrative Neuroscience. 8. 10–10. 9 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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