Eiko Okuda

711 citations
9 papers · 574 · h-index 7

Impact in

Papers in

    • Soybean genetics and cultivation 3
    • Legume Nitrogen Fixing Symbiosis 2
    • Photosynthetic Processes and Mechanisms 2
    • Glycosylation and Glycoproteins Research 2
    • Biochemical and Structural Characterization 1

Eiko Okuda

9 papers receiving 565 citations

Peers

Eiko Okuda
Comparison fields: 5 of 64
  • Food Science 299
  • Immunology and Allergy 86
  • Biotechnology 88
  • Nutrition and Dietetics 98
  • Plant Science 162
Replace Masahiko Samoto with:
Masahiko Samoto Japan
Xiaoqin Huang China
S Iwabuchi Japan
Sungchan Jang United States
Gwénaëlle André France
Charles W. Slattery United States
Dae‐Jung Kang South Korea
Beate Hiller Germany
Linda Le Roux United States
Krisna Prak Japan
Eiko Okuda relative to Masahiko Samoto Japan Masahiko Samoto's profile →
Citations per field
00.5×1.5×2.3×
Masahiko Samoto · 1×
Citations per year

Countries citing papers authored by Eiko Okuda

Since Specialization
Citations

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

Fields of papers citing papers by Eiko Okuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2001174
2 1998169
3 1999121
4 200250
5 200328
6 200316
7 20008
8 20084
9 20004

About Eiko Okuda

Eiko Okuda is a scholar working on Plant Science, Molecular Biology, Organic Chemistry, Cell Biology and Food Science, having authored 9 papers that have together received 574 indexed citations. Recurring topics across this work include Soybean genetics and cultivation (3 papers), Carbohydrate Chemistry and Synthesis (3 papers), Legume Nitrogen Fixing Symbiosis (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Glycosylation and Glycoproteins Research (2 papers), Proteins in Food Systems (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper) and Biochemical and Structural Characterization (1 paper). The work is most often cited by research in Food Science (299 citations), Immunology and Allergy (86 citations), Biotechnology (88 citations), Nutrition and Dietetics (98 citations) and Plant Science (162 citations). Eiko Okuda has collaborated with scholars based in Japan, South Korea and Mexico. Frequent co-authors include Nobuyuki Maruyama, Shigeru Utsumi, Yusuke Wada, Tomoyuki Katsube, Ana P. Barba de la Rosa, Motoyasu Adachi, Koji Takahashi, Yasuyuki Takenaka, Kazuhiro Yagasaki and M. Kohno. Their work appears in journals such as Journal of Agricultural and Food Chemistry, European Journal of Biochemistry, Atherosclerosis, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics and FEBS 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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