Keisuke Hashida

506 citations
11 papers · 356 · h-index 8

Impact in

Papers in

    • Fermentation and Sensory Analysis 2
    • Polysaccharides Composition and Applications 2
    • Lignin and Wood Chemistry 3
    • Biofuel production and bioconversion 2

Keisuke Hashida

11 papers receiving 344 citations

Peers

Keisuke Hashida
Comparison fields: 5 of 52
  • Biochemistry 58
  • Food Science 101
  • Renewable Energy, Sustainability and the Environment 62
  • Molecular Biology 250
  • Biotechnology 30
Replace Alexandre Back with:
Alexandre Back France
D. Somashekar India
Walter Alvarez Laviña Japan
Jean-Paul Meijnen Netherlands
Ji‐Eun Jo South Korea
Nachimuthu Saraswathy India
Rintze M. Zelle Netherlands
R.G.K. Lekshmi India
Keisuke Hashida relative to Alexandre Back France Alexandre Back's profile →
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Citations per year

Countries citing papers authored by Keisuke Hashida

Since Specialization
Citations

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

Fields of papers citing papers by Keisuke Hashida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Keisuke Hashida, 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 Keisuke Hashida Line = papers co-authored together Keisuke Hashida links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2009135
2 201255
3 201241
4 201638
5 201325
6 201220
7 201418
8 199714
9 19945
10 20004
11 20231

About Keisuke Hashida

Keisuke Hashida is a scholar working on Food Science, Biomedical Engineering, Molecular Biology, Biomaterials and Biochemistry, having authored 11 papers that have together received 356 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (6 papers), Lignin and Wood Chemistry (3 papers), Fermentation and Sensory Analysis (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Polysaccharides Composition and Applications (2 papers), Biofuel production and bioconversion (2 papers), Advanced Cellulose Research Studies (2 papers) and Plant Reproductive Biology (1 paper). The work is most often cited by research in Biochemistry (58 citations), Food Science (101 citations), Renewable Energy, Sustainability and the Environment (62 citations), Molecular Biology (250 citations) and Biotechnology (30 citations). Keisuke Hashida has collaborated with scholars based in Japan. Frequent co-authors include Hiroshi Takagi, Ken Ukibe, Nobuyuki Yoshida, Jun Shima, Yu Sasano, Iwao Ohtsu, Daisuke Watanabe, Yasumitsu Uraki, Yuichi Sano and Shuhei Furukawa. Their work appears in journals such as International Journal of Food Microbiology, Holzforschung, Applied and Environmental Microbiology, Microbial Cell Factories and Bioscience Biotechnology and Biochemistry.

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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