Aya Matsui

177 total papers · 1.2k total citations
15 papers, 649 citations indexed

About

Aya Matsui is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Structural Biology. According to data from OpenAlex, Aya Matsui has authored 15 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 2 papers in Structural Biology. Recurrent topics in Aya Matsui's work include Neurotransmitter Receptor Influence on Behavior (7 papers), Neuroscience and Neuropharmacology Research (6 papers) and Receptor Mechanisms and Signaling (5 papers). Aya Matsui is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (7 papers), Neuroscience and Neuropharmacology Research (6 papers) and Receptor Mechanisms and Signaling (5 papers). Aya Matsui collaborates with scholars based in United States, Japan and Argentina. Aya Matsui's co-authors include John T. Williams, Veronica A. Alvarez, Brooks G. Robinson, Shane T. Hentges, Brooke C. Jarvie, Alanna R. Kaplan, Lauren K. Dobbs, Marcelo Rubinstein, Julia C. Lemos and Philip J. Horner and has published in prestigious journals such as Neuron, Journal of Neuroscience and Chemistry - A European Journal.

In The Last Decade

Aya Matsui

14 papers receiving 643 citations

Author Peers

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

Author						Papers	Cites
Aya Matsui	472	274	135	76	64	15	649
Kazuyuki Kiyosue	367 0.8×	322 1.2×	118 0.9×	76 1.0×	48 0.8×	25	758
Guochi Zhang	345 0.7×	365 1.3×	115 0.9×	48 0.6×	37 0.6×	12	657
Marine Salery	299 0.6×	261 1.0×	76 0.6×	57 0.8×	70 1.1×	14	673
Jillian Iafrati	287 0.6×	221 0.8×	183 1.4×	61 0.8×	49 0.8×	16	759
Minerva Yue	436 0.9×	297 1.1×	174 1.3×	66 0.9×	46 0.7×	10	666
Hao Wang	321 0.7×	226 0.8×	205 1.5×	74 1.0×	51 0.8×	33	737
Iris Gispan	273 0.6×	170 0.6×	58 0.4×	73 1.0×	31 0.5×	21	626
Adán Hernández	469 1.0×	238 0.9×	178 1.3×	50 0.7×	38 0.6×	32	744
Cindy Achat‐Mendes	425 0.9×	211 0.8×	137 1.0×	38 0.5×	33 0.5×	21	590
Alberto Pérez‐Alvarez	400 0.8×	302 1.1×	118 0.9×	97 1.3×	193 3.0×	22	724

Countries citing papers authored by Aya Matsui

Since Specialization

Citations

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

Fields of papers citing papers by Aya Matsui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aya Matsui

This figure shows the co-authorship network connecting the top 25 collaborators of Aya Matsui. A scholar is included among the top collaborators of Aya Matsui 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 Matsui. Aya Matsui 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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