Naoyuki Okuda

637 total citations
16 papers, 499 citations indexed

About

Naoyuki Okuda is a scholar working on Molecular Biology, Biomedical Engineering and Biotechnology. According to data from OpenAlex, Naoyuki Okuda has authored 16 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Biomedical Engineering and 8 papers in Biotechnology. Recurrent topics in Naoyuki Okuda's work include Biofuel production and bioconversion (9 papers), Microbial Metabolic Engineering and Bioproduction (7 papers) and Enzyme Production and Characterization (7 papers). Naoyuki Okuda is often cited by papers focused on Biofuel production and bioconversion (9 papers), Microbial Metabolic Engineering and Bioproduction (7 papers) and Enzyme Production and Characterization (7 papers). Naoyuki Okuda collaborates with scholars based in Japan. Naoyuki Okuda's co-authors include Enoch Y. Park, Yoshio Katakura, Kazuaki Ninomiya, Suteaki Shioya, Yōnosuke Ikeda, Yuko Ikeda, Hiroyuki Hayashi, Hiroyuki Kurata, Ryuta Kasada and Akihiko Kimura and has published in prestigious journals such as Journal of Biological Chemistry, Bioresource Technology and Journal of Nuclear Materials.

In The Last Decade

Naoyuki Okuda

16 papers receiving 488 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naoyuki Okuda Japan 13 328 320 125 67 40 16 499
Yat‐Chen Chou United States 11 430 1.3× 447 1.4× 112 0.9× 32 0.5× 28 0.7× 15 551
Shital A. Tripathi United States 7 464 1.4× 432 1.4× 98 0.8× 33 0.5× 64 1.6× 7 604
Samuel Amartey United Kingdom 13 251 0.8× 303 0.9× 66 0.5× 80 1.2× 32 0.8× 28 462
Kenneth Francis Rodrigues Malaysia 4 413 1.3× 479 1.5× 75 0.6× 65 1.0× 22 0.6× 5 690
Jeannette Mejia United States 6 490 1.5× 411 1.3× 63 0.5× 39 0.6× 18 0.5× 9 573
Jaana Uusitalo Finland 14 528 1.6× 442 1.4× 226 1.8× 139 2.1× 55 1.4× 25 790
E. Petitdemange France 11 399 1.2× 415 1.3× 155 1.2× 76 1.1× 62 1.6× 18 562
D. S. Beall United States 7 628 1.9× 603 1.9× 109 0.9× 55 0.8× 31 0.8× 7 750
Vinuselvi Parisutham South Korea 11 374 1.1× 329 1.0× 94 0.8× 39 0.6× 24 0.6× 20 483
María Elena Rodríguez United States 6 568 1.7× 675 2.1× 115 0.9× 44 0.7× 69 1.7× 13 813

Countries citing papers authored by Naoyuki Okuda

Since Specialization
Citations

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

Fields of papers citing papers by Naoyuki Okuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoyuki Okuda

This figure shows the co-authorship network connecting the top 25 collaborators of Naoyuki Okuda. A scholar is included among the top collaborators of Naoyuki 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 Naoyuki Okuda. Naoyuki Okuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Okuda, Naoyuki, Tatsuya Fujii, Hiroyuki Inoue, Kazuhiko Ishikawa, & Tamotsu Hoshino. (2016). Enhancing cellulase production by overexpression of xylanase regulator protein gene, xlnR, in Talaromyces cellulolyticus cellulase hyperproducing mutant strain. Bioscience Biotechnology and Biochemistry. 80(10). 2065–2068. 12 indexed citations
2.
Okuda, Naoyuki, et al.. (2009). Response of Cellulase Activity in pH-Controlled Cultures of the Filamentous Fungus Acremonium cellulolyticus. Applied Biochemistry and Biotechnology. 162(1). 52–61. 40 indexed citations
3.
Okuda, Naoyuki, et al.. (2008). Biological detoxification of waste house wood hydrolysate using Ureibacillus thermosphaericus for bioethanol production. Journal of Bioscience and Bioengineering. 106(2). 128–133. 73 indexed citations
4.
Okuda, Naoyuki, Kazuaki Ninomiya, Yoshio Katakura, & Suteaki Shioya. (2008). Strategies for Reducing Supplemental Medium Cost in Bioethanol Production from Waste House Wood Hydrolysate by Ethanologenic Escherichia coli: Inoculum Size Increase and Coculture with Saccharomyces cerevisiae. Journal of Bioscience and Bioengineering. 105(2). 90–96. 31 indexed citations
5.
Okuda, Naoyuki, Ryuta Kasada, & Akihiko Kimura. (2008). Statistical evaluation of anisotropic fracture behavior of ODS ferritic steels by using small punch tests. Journal of Nuclear Materials. 386-388. 974–978. 22 indexed citations
6.
Okuda, Naoyuki, et al.. (2007). Microaeration enhances productivity of bioethanol from hydrolysate of waste house wood using ethanologenic Escherichia coli KO11. Journal of Bioscience and Bioengineering. 103(4). 350–357. 49 indexed citations
7.
Kasada, Ryuta, et al.. (2007). Effects of Neutron Irradiation and Thermal Aging on Mechanical Properties of ODS Ferritic Steels for Advanced Nuclear Systems. Materials science forum. 561-565. 1773–1776. 2 indexed citations
8.
Ikeda, Yuko, Hiroyuki Hayashi, Naoyuki Okuda, & Enoch Y. Park. (2007). Efficient Cellulase Production by the Filamentous Fungus Acremonium cellulolyticus. Biotechnology Progress. 23(2). 333–338. 41 indexed citations
9.
Kuwana, Ritsuko, Naoyuki Okuda, Hiromu Takamatsu, & Kazuhito Watabe. (2006). Modification of GerQ Reveals a Functional Relationship between Tgl and YabG in the Coat of Bacillus subtilis Spores. The Journal of Biochemistry. 139(5). 887–901. 29 indexed citations
10.
Ikeda, Yōnosuke, Enoch Y. Park, & Naoyuki Okuda. (2005). Bioconversion of waste office paper to gluconic acid in a turbine blade reactor by the filamentous fungus Aspergillus niger. Bioresource Technology. 97(8). 1030–1035. 86 indexed citations
11.
Park, Enoch Y., et al.. (2003). BIOCONVERSION OF WASTE OFFICE PAPER TO L(+)-LACTIC ACID BY FILAMENTOUS FUNGUS RHIZOPUS ORYZAE. Medical Entomology and Zoology. 16(1). 281–285. 5 indexed citations
12.
Park, Enoch Y., Yuko Ikeda, & Naoyuki Okuda. (2002). Empirical evaluation of cellulase on enzymatic hydrolysis of waste office paper. Biotechnology and Bioprocess Engineering. 7(5). 268–274. 28 indexed citations
13.
Park, Enoch Y., et al.. (2001). Enzymatic Hydrolysis of Waste Office Paper Using Viscosity as Operating Parameter. Biotechnology Progress. 17(2). 379–382. 16 indexed citations
14.
Kurata, Hiroyuki, et al.. (2000). Intermittent light irradiation with second- or hour-scale periods controls anthocyanin production by strawberry cells☆. Enzyme and Microbial Technology. 26(8). 621–629. 26 indexed citations
15.
Kuroda, Teruo, Naoyuki Okuda, Naoto Saitoh, et al.. (1998). Patch Clamp Studies on Ion Pumps of the Cytoplasmic Membrane ofEscherichia coli. Journal of Biological Chemistry. 273(27). 16897–16904. 27 indexed citations
16.
Kurata, Hiroyuki, et al.. (1998). Intermittent Light Irradiation with a Second-Scale Interval Enhances Caffeine Production by Coffea arabica Cells. Biotechnology Progress. 14(5). 797–799. 12 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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