Shigeru Masuda

13 total papers · 450 total citations
11 papers, 340 citations indexed

About

Shigeru Masuda is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Shigeru Masuda has authored 11 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 4 papers in Cardiology and Cardiovascular Medicine and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Shigeru Masuda's work include Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers), Coronary Interventions and Diagnostics (2 papers) and Neuroendocrine Tumor Research Advances (1 paper). Shigeru Masuda is often cited by papers focused on Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers), Coronary Interventions and Diagnostics (2 papers) and Neuroendocrine Tumor Research Advances (1 paper). Shigeru Masuda collaborates with scholars based in Japan and United States. Shigeru Masuda's co-authors include Toshiharu Ishii, Noriko Asuwa, Yukio Ishikawa, Hideko Kiguchi, Yoshikiyo Akasaka, Kazuo Komiyama, Motowo Tomita, Nam-Ho Choi-Miura, Shigeo Hirai and Mayumi Fukuyama and has published in prestigious journals such as Arteriosclerosis Thrombosis and Vascular Biology, The Journal of Pathology and International Journal of Infectious Diseases.

In The Last Decade

Shigeru Masuda

10 papers receiving 325 citations

Author Peers

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

Author Last Decade Papers Cites
Shigeru Masuda 193 165 127 78 65 11 340
Alyson A. Melin 157 0.8× 72 0.4× 64 0.5× 86 1.1× 52 0.8× 11 387
Christopher Prusinkiewicz 122 0.6× 113 0.7× 39 0.3× 90 1.2× 80 1.2× 9 382
Carlos N. Rios 86 0.4× 137 0.8× 48 0.4× 63 0.8× 42 0.6× 9 342
Isaac Tea 64 0.3× 114 0.7× 48 0.4× 42 0.5× 198 3.0× 13 378
Artur Oliver 109 0.6× 75 0.5× 91 0.7× 20 0.3× 59 0.9× 11 380
Elena Zubillaga 97 0.5× 294 1.8× 29 0.2× 46 0.6× 52 0.8× 8 360
Deborah Zihler 111 0.6× 73 0.4× 75 0.6× 209 2.7× 55 0.8× 15 373
Aart C. Strang 72 0.4× 69 0.4× 73 0.6× 26 0.3× 37 0.6× 15 322
Ioannis Papadakis 67 0.3× 141 0.9× 151 1.2× 22 0.3× 27 0.4× 11 332
Matthew Peacock 113 0.6× 86 0.5× 114 0.9× 28 0.4× 104 1.6× 14 339

Countries citing papers authored by Shigeru Masuda

Since Specialization
Citations

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

Fields of papers citing papers by Shigeru Masuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shigeru Masuda

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