Shinya Maenosono

5.3k citations
142 papers · 4.3k · h-index 35

Impact in

Papers in

Shinya Maenosono

141 papers receiving 4.2k citations

Peers

Shinya Maenosono
Comparison fields: 5 of 127
  • Electronic, Optical and Magnetic Materials 1.1k
  • Materials Chemistry 2.5k
  • Renewable Energy, Sustainability and the Environment 786
  • Biomaterials 540
  • Biomedical Engineering 1.2k
Replace Yudhisthira Sahoo with:
Yudhisthira Sahoo United States
James Goebl United States
Verónica Salgueiriño Spain
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Antonios G. Kanaras United Kingdom
Sri Sivakumar India
T. Randall Lee United States
Arnaud Brioude France
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Yawen Wang China
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Citations per field
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Citations per year

Countries citing papers authored by Shinya Maenosono

Since Specialization
Citations

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

Fields of papers citing papers by Shinya Maenosono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shinya Maenosono, 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 Shinya Maenosono Line = papers co-authored together Shinya Maenosono links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 142 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003242
2 2016177
3 2010177
4 2006174
5 2015151
6 1999139
7 2003118
8 2013109
9 2017104
10 202099
11 201195
12 200892
13 200988
14 201686
15 200576
16 201267
17 200462
18 201261
19 200961
20 202061

About Shinya Maenosono

Shinya Maenosono is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials, Atomic and Molecular Physics, and Optics and Biomedical Engineering, having authored 142 papers that have together received 4.3k indexed citations. Recurring topics across this work include Gold and Silver Nanoparticles Synthesis and Applications (33 papers), Quantum Dots Synthesis And Properties (33 papers), Chalcogenide Semiconductor Thin Films (32 papers), Advanced Thermoelectric Materials and Devices (21 papers), Magnetic properties of thin films (17 papers), Nanomaterials for catalytic reactions (15 papers), Characterization and Applications of Magnetic Nanoparticles (12 papers) and Advanced biosensing and bioanalysis techniques (11 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (1.1k citations), Materials Chemistry (2.5k citations), Renewable Energy, Sustainability and the Environment (786 citations), Biomaterials (540 citations) and Biomedical Engineering (1.2k citations). Shinya Maenosono has collaborated with scholars based in Japan, Vietnam and United Kingdom. Frequent co-authors include Derrick Mott, Soichiro Saita, Yukio Yamaguchi, Nguyễn Thị Kim Thanh, Le Duc Tung, Koichi Higashimine, Mari Takahashi, Anh Thi Ngoc Dao, Ian Robinson and Atsushi Komoto. Their work appears in journals such as Langmuir, Applied Physics Letters, Japanese Journal of Applied Physics, The Journal of Physical Chemistry C and RSC Advances.

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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