Shun Murabayashi

87 total papers · 1.1k total citations
56 papers, 798 citations indexed

About

Shun Murabayashi is a scholar working on Biomedical Engineering, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Shun Murabayashi has authored 56 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Biomedical Engineering, 17 papers in Surgery and 11 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Shun Murabayashi's work include Mechanical Circulatory Support Devices (18 papers), Cardiac Structural Anomalies and Repair (7 papers) and Electrospun Nanofibers in Biomedical Applications (5 papers). Shun Murabayashi is often cited by papers focused on Mechanical Circulatory Support Devices (18 papers), Cardiac Structural Anomalies and Repair (7 papers) and Electrospun Nanofibers in Biomedical Applications (5 papers). Shun Murabayashi collaborates with scholars based in Japan, United States and South Korea. Shun Murabayashi's co-authors include Yoshinori Mitamura, Yukihiko Nosé, Tsunemasa Taguchi, Hirofumi Saito, Ikuya Nishimura, Helen Kambic, Eiji Okamoto, M. Shiotani, Junkichi Sohma and Yoshitaro Nose and has published in prestigious journals such as The Journal of Physical Chemistry, Chemical Physics Letters and Acta Biomaterialia.

In The Last Decade

Shun Murabayashi

53 papers receiving 772 citations

Author Peers

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

Author Last Decade Papers Cites
Shun Murabayashi 363 259 193 95 93 56 798
Byoung Goo Min 301 0.8× 281 1.1× 283 1.5× 100 1.1× 74 0.8× 76 890
Hans-Peter Wendel 298 0.8× 376 1.5× 269 1.4× 101 1.1× 97 1.0× 42 843
K. Mottaghy 370 1.0× 289 1.1× 119 0.6× 87 0.9× 171 1.8× 75 830
K. Sekine 372 1.0× 197 0.8× 59 0.3× 77 0.8× 100 1.1× 66 909
D. V. Telyshev 428 1.2× 146 0.6× 88 0.5× 80 0.8× 23 0.2× 105 727
In Seok Jeong 318 0.9× 344 1.3× 137 0.7× 172 1.8× 192 2.1× 91 890
Lorenzo Bonetti 306 0.8× 145 0.6× 216 1.1× 57 0.6× 25 0.3× 37 749
Tetsuzo Akutsu 441 1.2× 429 1.7× 122 0.6× 226 2.4× 63 0.7× 87 831
Jianye Zhou 226 0.6× 346 1.3× 313 1.6× 109 1.1× 57 0.6× 46 744
Youjun Liu 282 0.8× 367 1.4× 61 0.3× 220 2.3× 109 1.2× 89 784

Countries citing papers authored by Shun Murabayashi

Since Specialization
Citations

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

Fields of papers citing papers by Shun Murabayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shun Murabayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Shun Murabayashi. A scholar is included among the top collaborators of Shun Murabayashi 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 Shun Murabayashi. Shun Murabayashi 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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2026