S. Shioya

640 citations
19 papers · 437 · h-index 11

Impact in

Papers in

    • Microbial Metabolic Engineering and Bioproduction 4
    • Viral Infectious Diseases and Gene Expression in Insects 4
    • Enzyme Catalysis and Immobilization 3
    • Protein Hydrolysis and Bioactive Peptides 2
    • Innovative Microfluidic and Catalytic Techniques Innovation 2

S. Shioya

18 papers receiving 417 citations

Peers

S. Shioya
Comparison fields: 5 of 72
  • Food Science 130
  • Biotechnology 45
  • Nutrition and Dietetics 73
  • Molecular Biology 236
  • Biomedical Engineering 105
Replace Liya Niu with:
Liya Niu China
J. Brückner Germany
Yapeng Fang China
A. Starek Poland
Wang Qia China
Ibrahim O. Mohamed United Arab Emirates
Michael J. Kurantz United States
Amali U. Alahakoon Sri Lanka
L.R. Correia Canada
Marcos Enê Chaves Oliveira Brazil
S. Shioya relative to Liya Niu China Liya Niu's profile →
Citations per field
00.5×1.5×
Liya Niu · 1×
Citations per year

Countries citing papers authored by S. Shioya

Since Specialization
Citations

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

Fields of papers citing papers by S. Shioya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 200293
2 200557
3 200352
4 200140
5 201340
6 199936
7 199125
8 199819
9 200519
10 199917
11 200112
12 201210
13 20017
14 20253
15 19983
16 20152
17 19921
18 19921
19 20250

About S. Shioya

S. Shioya is a scholar working on Molecular Biology, Biomedical Engineering, Biotechnology, Control and Systems Engineering and Mechanics of Materials, having authored 19 papers that have together received 437 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (4 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Enzyme Catalysis and Immobilization (3 papers), Enzyme Production and Characterization (3 papers), Advanced Control Systems Optimization (2 papers), Spectroscopy and Chemometric Analyses (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers) and Protein Hydrolysis and Bioactive Peptides (2 papers). The work is most often cited by research in Food Science (130 citations), Biotechnology (45 citations), Nutrition and Dietetics (73 citations), Molecular Biology (236 citations) and Biomedical Engineering (105 citations). S. Shioya has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Hiroshi Shimizu, Benjamas Cheirsilp, Makoto Kohga, Keisuke Nagahisa, Masaaki Morikawa, Eiichiro Kimura, Hajime Tanaka, Keiji Uchiyama, Katsunori Yoshikawa and Y. Nakakura. Their work appears in journals such as Applied Microbiology and Biotechnology, Journal of Biotechnology, Biochemical Engineering Journal, JAMA Network Open and Journal of Industrial Microbiology & Biotechnology.

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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