Shinya Matsuda

43 total papers · 555 total citations
20 papers, 328 citations indexed

About

Shinya Matsuda is a scholar working on Molecular Biology, Cell Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Shinya Matsuda has authored 20 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Cell Biology and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Shinya Matsuda's work include Developmental Biology and Gene Regulation (8 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Hippo pathway signaling and YAP/TAZ (6 papers). Shinya Matsuda is often cited by papers focused on Developmental Biology and Gene Regulation (8 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Hippo pathway signaling and YAP/TAZ (6 papers). Shinya Matsuda collaborates with scholars based in Switzerland, United States and Finland. Shinya Matsuda's co-authors include Markus Affolter, Osamu Shimmi, Stefan Harmansa, M Viganò, Masatsugu Hatakeyama, Jorge Polo Blanco, Jonas V. Schaefer, Andreas Plückthun, Ilaria Alborelli and George Pyrowolakis and has published in prestigious journals such as Nature Communications, Development and Developmental Cell.

In The Last Decade

Shinya Matsuda

20 papers receiving 327 citations

Author Peers

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

Author						Papers	Cites
Shinya Matsuda	251	132	49	47	37	20	328
Katia Russo	221 0.9×	78 0.6×	12 0.2×	30 0.6×	13 0.4×	17	315
V K Galanopoulos	182 0.7×	36 0.3×	25 0.5×	35 0.7×	172 4.6×	10	358
Pengzhi Wang	148 0.6×	29 0.2×	15 0.3×	59 1.3×	33 0.9×	26	328
Marco Grillo	201 0.8×	24 0.2×	25 0.5×	20 0.4×	20 0.5×	21	295
James D.B. O’Sullivan	55 0.2×	91 0.7×	13 0.3×	26 0.6×	24 0.6×	20	341
Stephen J. Kleinschuster	167 0.7×	54 0.4×	25 0.5×	29 0.6×	29 0.8×	27	351
Claudia Wierzbicki	212 0.8×	99 0.8×	7 0.1×	29 0.6×	42 1.1×	11	336
Eduardo Miguel Laicine	201 0.8×	48 0.4×	108 2.2×	16 0.3×	34 0.9×	26	342
Wakako Shinahara	177 0.7×	63 0.5×	5 0.1×	33 0.7×	42 1.1×	12	337
Erik M. Whiteley	269 1.1×	58 0.4×	25 0.5×	32 0.7×	28 0.8×	13	308

Countries citing papers authored by Shinya Matsuda

Since Specialization

Citations

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

Fields of papers citing papers by Shinya Matsuda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shinya Matsuda

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