S. Masuda

77 papers receiving 3.0k citations

Peers

S. Masuda
Comparison fields: 5 of 144
  • Aging 68
  • Radiology, Nuclear Medicine and Imaging 765
  • Genetics 328
  • Electrical and Electronic Engineering 1.0k
  • Molecular Biology 1.2k
Replace Frauke Gräter with:
Frauke Gräter Germany
Josep Carreras Spain
Allison Hubel United States
Hiroshi Harada Japan
Eleanor A. Blakely United States
Mark A. Hill United Kingdom
Tatsuya Murakami Japan
A. Dejneka Czechia
Tatjana Paunesku United States
Thomas Reiner United States
S. Masuda relative to Frauke Gräter Germany Frauke Gräter's profile →
Citations per field
00.5×6.7×
Frauke Gräter · 1×
Citations per year

Countries citing papers authored by S. Masuda

Since Specialization
Citations

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

Fields of papers citing papers by S. Masuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside S. Masuda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S. Masuda Line = papers co-authored together S. Masuda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007363
2 1990244
3 1989152
4 1988149
5 1972137
6 2003130
7 1990126
8 2018109
9 200699
10 198893
11 201689
12 197989
13 201287
14 199687
15 198882
16 199375
17 200769
18 199062
19 199561
20 198160

About S. Masuda

S. Masuda is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Materials Chemistry and Surgery, having authored 81 papers that have together received 3.1k indexed citations. Recurring topics across this work include Plasma Applications and Diagnostics (17 papers), Muscle Physiology and Disorders (17 papers), Plasma Diagnostics and Applications (11 papers), Gas Sensing Nanomaterials and Sensors (10 papers), Tissue Engineering and Regenerative Medicine (9 papers), Aerosol Filtration and Electrostatic Precipitation (9 papers), Catalytic Processes in Materials Science (9 papers) and Mesenchymal stem cell research (7 papers). The work is most often cited by research in Aging (68 citations), Radiology, Nuclear Medicine and Imaging (765 citations), Genetics (328 citations), Electrical and Electronic Engineering (1.0k citations) and Molecular Biology (1.2k citations). S. Masuda has collaborated with scholars based in Japan, United States and Hungary. Frequent co-authors include Shin’ichi Takeda, Hiroyuki Nakao, Yuko Miyagoe‐Suzuki, Masao Washizu, Akiyoshi Uezumi, Madoka Ikemoto‐Uezumi, So‐ichiro Fukada, Tadashi Takahashi, Oda T and Hiroshi Yamamoto. Their work appears in journals such as IEEE Transactions on Industry Applications, Journal of Electrostatics, Fusion Engineering and Design, Tetrahedron and American Journal Of Pathology.

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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