Aya Zucca

14 total papers · 489 total citations
10 papers, 329 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 329 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), Memory and Neural Mechanisms (3 papers) and Receptor Mechanisms and Signaling (3 papers). Aya Zucca is often cited by papers focused on Neuroscience and Neuropharmacology Research (3 papers), Memory and Neural Mechanisms (3 papers) and Receptor Mechanisms and Signaling (3 papers). Aya Zucca collaborates with scholars based in United States, Japan and United Kingdom. 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 326 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Aya Zucca 180 155 131 61 37 10 329
Eloise Peet 168 0.9× 92 0.6× 77 0.6× 42 0.7× 37 1.0× 7 345
Ga‐Ram Hwang 134 0.7× 135 0.9× 109 0.8× 43 0.7× 40 1.1× 10 315
Ryong-Moon Shin 214 1.2× 151 1.0× 103 0.8× 32 0.5× 45 1.2× 7 339
Heather A. Sullivan 125 0.7× 125 0.8× 85 0.6× 33 0.5× 23 0.6× 17 304
Meng Chen 221 1.2× 106 0.7× 135 1.0× 37 0.6× 11 0.3× 9 347
Timothy A. Otto 187 1.0× 201 1.3× 62 0.5× 76 1.2× 61 1.6× 9 349
Heather Decot 191 1.1× 161 1.0× 96 0.7× 48 0.8× 31 0.8× 6 331
Ludivine Therreau 192 1.1× 150 1.0× 76 0.6× 75 1.2× 30 0.8× 8 305
Uree Chon 109 0.6× 83 0.5× 76 0.6× 58 1.0× 22 0.6× 10 340
Laurie‐Anne Gouty‐Colomer 163 0.9× 110 0.7× 93 0.7× 27 0.4× 26 0.7× 9 353

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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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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