Eiko Okuda

711 total citations
9 papers, 574 citations indexed

About

Eiko Okuda is a scholar working on Plant Science, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Eiko Okuda has authored 9 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Plant Science, 4 papers in Molecular Biology and 3 papers in Organic Chemistry. Recurrent topics in Eiko Okuda's work include Soybean genetics and cultivation (3 papers), Carbohydrate Chemistry and Synthesis (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Eiko Okuda is often cited by papers focused on Soybean genetics and cultivation (3 papers), Carbohydrate Chemistry and Synthesis (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Eiko Okuda collaborates with scholars based in Japan, Mexico and South Korea. Eiko Okuda's co-authors include Nobuyuki Maruyama, Shigeru Utsumi, Yusuke Wada, Ana P. Barba de la Rosa, Tomoyuki Katsube, Motoyasu Adachi, Koji Takahashi, Bunzo Mikami, Kazuhiro Yagasaki and Yasuyuki Takenaka and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Biochemical and Biophysical Research Communications and FEBS Letters.

In The Last Decade

Eiko Okuda

9 papers receiving 565 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Eiko Okuda Japan 7 299 168 162 98 88 9 574
S Iwabuchi Japan 9 304 1.0× 119 0.7× 83 0.5× 88 0.9× 37 0.4× 31 446
Masahiko Samoto Japan 10 230 0.8× 120 0.7× 100 0.6× 80 0.8× 56 0.6× 19 467
Xiaoqin Huang China 15 227 0.8× 232 1.4× 129 0.8× 40 0.4× 33 0.4× 38 661
Gwénaëlle André France 6 65 0.2× 87 0.5× 239 1.5× 100 1.0× 127 1.4× 7 454
Charles W. Slattery United States 16 603 2.0× 547 3.3× 144 0.9× 123 1.3× 116 1.3× 42 811
James J. Shieh United States 14 463 1.5× 196 1.2× 85 0.5× 155 1.6× 63 0.7× 24 767
J.C. Caygill United Kingdom 13 147 0.5× 112 0.7× 142 0.9× 87 0.9× 28 0.3× 31 480
Dae‐Jung Kang South Korea 11 129 0.4× 165 1.0× 68 0.4× 35 0.4× 30 0.3× 19 402
Sungchan Jang United States 11 69 0.2× 162 1.0× 101 0.6× 19 0.2× 46 0.5× 24 399
Linda Le Roux United States 10 128 0.4× 227 1.4× 34 0.2× 92 0.9× 16 0.2× 12 444

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-authorship network of co-authors of Eiko Okuda

This figure shows the co-authorship network connecting the top 25 collaborators of Eiko Okuda. A scholar is included among the top collaborators of Eiko Okuda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eiko Okuda. Eiko Okuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
2.
Maruyama, Nobuyuki, et al.. (2003). Creation of soybean β-conglycinin β with strong phagocytosis-stimulating activity. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1648(1-2). 99–104. 28 indexed citations
3.
Adachi, Motoyasu, Eiko Okuda, Andrei D. Shutov, et al.. (2003). Crystal Structures and Structural Stabilities of the Disulfide Bond-Deficient Soybean Proglycinin Mutants C12G and C88S. Journal of Agricultural and Food Chemistry. 51(16). 4633–4639. 16 indexed citations
4.
Maruyama, Takao, Naohiko Sakai, Masato Ishigami, et al.. (2002). Prevalence and phenotypic spectrum of cholesteryl ester transfer protein gene mutations in Japanese hyperalphalipoproteinemia. Atherosclerosis. 166(1). 177–185. 50 indexed citations
5.
Maruyama, Nobuyuki, Motoyasu Adachi, Koji Takahashi, et al.. (2001). Crystal structures of recombinant and native soybean β‐conglycinin β homotrimers. European Journal of Biochemistry. 268(12). 3595–3604. 174 indexed citations
6.
Matsuyama, Akifumi, Shizuya Yamashita, Takao Maruyama, et al.. (2000). Identification of a GPI-Anchored Type HDL-Binding Protein on Human Macrophages. Biochemical and Biophysical Research Communications. 272(3). 864–871. 8 indexed citations
7.
Maruyama, Nobuyuki, et al.. (2000). Structure−Physicochemical Function Relationships of Soybean β-Conglycinin Constituent Subunits. Journal of Agricultural and Food Chemistry. 48(2). 576–576. 4 indexed citations
8.
Maruyama, Nobuyuki, Ryohei Sato, Yusuke Wada, et al.. (1999). Structure−Physicochemical Function Relationships of Soybean β-Conglycinin Constituent Subunits. Journal of Agricultural and Food Chemistry. 47(12). 5278–5284. 121 indexed citations
9.
Maruyama, Nobuyuki, Tomoyuki Katsube, Yusuke Wada, et al.. (1998). The roles of the N‐linked glycans and extension regions of soybean β‐conglycinin in folding, assembly and structural features. European Journal of Biochemistry. 258(2). 854–862. 169 indexed citations

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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