Ayako Matsuo

57 total papers · 1.1k total citations
29 papers, 811 citations indexed

About

Ayako Matsuo is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ayako Matsuo has authored 29 papers receiving a total of 811 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ayako Matsuo's work include Receptor Mechanisms and Signaling (5 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers) and Neuropeptides and Animal Physiology (2 papers). Ayako Matsuo is often cited by papers focused on Receptor Mechanisms and Signaling (5 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers) and Neuropeptides and Animal Physiology (2 papers). Ayako Matsuo collaborates with scholars based in Japan and United States. Ayako Matsuo's co-authors include Jun Takasaki, Shun‐ichiro Matsumoto, Masazumi Kamohara, Takatoshi Soga, Hideki Hiyama, Hitoshi Matsushime, Kiyoshi Furuichi, Mitsuyuki Matsumoto, Tetsu Saito and Takahide Ohishi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Biochemical and Biophysical Research Communications.

In The Last Decade

Ayako Matsuo

22 papers receiving 786 citations

Author Peers

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

Author						Papers	Cites
Ayako Matsuo	388	167	155	131	111	29	811
Li-Xin Shan	386 1.0×	205 1.2×	184 1.2×	91 0.7×	261 2.4×	17	1.1k
Chia Lin Chang	427 1.1×	448 2.7×	123 0.8×	124 0.9×	94 0.8×	33	905
Suvi T. Ruohonen	243 0.6×	113 0.7×	91 0.6×	155 1.2×	111 1.0×	32	736
Gillian P. Smith	227 0.6×	91 0.5×	108 0.7×	132 1.0×	98 0.9×	43	745
Charles F. Aylsworth	273 0.7×	114 0.7×	144 0.9×	117 0.9×	25 0.2×	34	887
H. Cailla	529 1.4×	194 1.2×	124 0.8×	144 1.1×	54 0.5×	44	1.0k
Megumi Tsuchiya	511 1.3×	294 1.8×	70 0.5×	146 1.1×	85 0.8×	48	982
D. Chang	205 0.5×	159 1.0×	55 0.4×	109 0.8×	106 1.0×	26	967
B Hunyady	414 1.1×	203 1.2×	34 0.2×	132 1.0×	192 1.7×	34	961
Noriaki Eguchi	246 0.6×	52 0.3×	123 0.8×	80 0.6×	292 2.6×	30	945

Countries citing papers authored by Ayako Matsuo

Since Specialization

Citations

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

Fields of papers citing papers by Ayako Matsuo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayako Matsuo

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