Daisuke Saya

620 citations
37 papers · 449 · h-index 13

Impact in

Papers in

Daisuke Saya

36 papers receiving 441 citations

Peers

Daisuke Saya
Comparison fields: 5 of 44
  • Atomic and Molecular Physics, and Optics 287
  • Bioengineering 29
  • Structural Biology 7
  • Biomedical Engineering 216
  • Electrical and Electronic Engineering 218
Replace N. S. Losilla with:
N. S. Losilla Spain
A. Souifi France
Justin Llandro United Kingdom
Hardeep Kumar India
Lauren M. Otto United States
Mads Brøkner Christiansen Denmark
Brian Piccione United States
Benjamin D’Anjou Canada
M. J. Jory United Kingdom
J. G. Ortega-Mendoza Mexico
Daisuke Saya relative to N. S. Losilla Spain N. S. Losilla's profile →
Citations per field
00.5×1.5×1.9×
N. S. Losilla · 1×
Citations per year

Countries citing papers authored by Daisuke Saya

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Saya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201148
2 200239
3 201636
4 200234
5 200230
6 201127
7 200623
8 200022
9 200520
10 202216
11 200516
12 200614
13 200813
14 200311
15 200411
16 200610
17 20029
18 19997
19 19997
20 20217

About Daisuke Saya

Daisuke Saya is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Biomedical Engineering, Materials Chemistry and Bioengineering, having authored 37 papers that have together received 449 indexed citations. Recurring topics across this work include Mechanical and Optical Resonators (21 papers), Force Microscopy Techniques and Applications (21 papers), Advanced MEMS and NEMS Technologies (12 papers), Electrowetting and Microfluidic Technologies (8 papers), Nanofabrication and Lithography Techniques (5 papers), Acoustic Wave Resonator Technologies (4 papers), Microfluidic and Bio-sensing Technologies (4 papers) and Integrated Circuits and Semiconductor Failure Analysis (4 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (287 citations), Bioengineering (29 citations), Structural Biology (7 citations), Biomedical Engineering (216 citations) and Electrical and Electronic Engineering (218 citations). Daisuke Saya has collaborated with scholars based in France, Japan and United States. Frequent co-authors include Hideki Kawakatsu, Liviu Nicu, Fabrice Mathieu, Hiroyuki Fujita, Hiroshi Toshiyoshi, Thierry Leïchlé, Jean‐Bernard Pourciel, Christian Bergaud, Shigeki Kawai and Christian Bergaud. Their work appears in journals such as Japanese Journal of Applied Physics, Review of Scientific Instruments, Sensors and Actuators A Physical, Nanotechnology and Applied Physics Letters.

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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