Eiichiro Naito

450 total citations
10 papers, 373 citations indexed

About

Eiichiro Naito is a scholar working on Molecular Biology, Food Science and Nutrition and Dietetics. According to data from OpenAlex, Eiichiro Naito has authored 10 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Food Science and 4 papers in Nutrition and Dietetics. Recurrent topics in Eiichiro Naito's work include Probiotics and Fermented Foods (4 papers), Gut microbiota and health (3 papers) and Tea Polyphenols and Effects (2 papers). Eiichiro Naito is often cited by papers focused on Probiotics and Fermented Foods (4 papers), Gut microbiota and health (3 papers) and Tea Polyphenols and Effects (2 papers). Eiichiro Naito collaborates with scholars based in Japan. Eiichiro Naito's co-authors include Y. Yoshida, Kumiko Makino, Kouji Miyazaki, Takeshi Matsuzaki, Fumihiko Ishikawa, Rie Takahashi, Haruji Sawada, Wakae Yokoi, Takekazu Okumura and Masahiko Ito and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Journal of Applied Microbiology and FEMS Microbiology Ecology.

In The Last Decade

Eiichiro Naito

9 papers receiving 362 citations

Peers

Eiichiro Naito
Hyang Mi An South Korea
Jihee Kang South Korea
Sung Hyun Moon South Korea
Young-Tae Ahn South Korea
Daniëlle Haenen Netherlands
Renuka India
Hyang Mi An South Korea
Eiichiro Naito
Citations per year, relative to Eiichiro Naito Eiichiro Naito (= 1×) peers Hyang Mi An

Countries citing papers authored by Eiichiro Naito

Since Specialization
Citations

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

Fields of papers citing papers by Eiichiro Naito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eiichiro Naito

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

All Works

10 of 10 papers shown
1.
Naito, Eiichiro, Noriko Hayashi, Takashi Kurakawa, et al.. (2025). Effect of long-term consumption of <i>Lacticaseibacillus paracasei</i> strain Shirota-fermented milk on weight loss in the institutionalized oldest old: an exploratory study. Bioscience of Microbiota Food and Health. 44(3). 205–214.
2.
Naito, Eiichiro, Y. Yoshida, Kumiko Makino, et al.. (2017). Effect of <i>Lactobacillus casei</i> strain Shirota-fermented milk on metabolic abnormalities in obese prediabetic Japanese men: a randomised, double-blind, placebo-controlled trial. Bioscience of Microbiota Food and Health. 37(1). 9–18. 45 indexed citations
3.
Ito, Masaki, K Oishi, Y. Yoshida, et al.. (2014). Effects of lactic acid bacteria on low-density lipoprotein susceptibility to oxidation and aortic fatty lesion formation in hyperlipidemic hamsters. Beneficial Microbes. 6(3). 287–294. 11 indexed citations
4.
Tanida, Mamoru, Yasutaka Kurata, Osamu Chonan, et al.. (2013). Injection of Lactobacillus casei strain Shirota affects autonomic nerve activities in a tissue‐specific manner, and regulates glucose and lipid metabolism in rats. Journal of Diabetes Investigation. 5(2). 153–161. 24 indexed citations
5.
Naito, Eiichiro, Y. Yoshida, Kumiko Makino, et al.. (2010). Beneficial effect of oral administration of Lactobacillus casei strain Shirota on insulin resistance in diet-induced obesity mice. Journal of Applied Microbiology. 110(3). 650–657. 182 indexed citations
6.
Yoshida, Y., Eiichiro Naito, H. Mizukoshi, et al.. (2009). Side-Chain Structure of Cell Surface Polysaccharide, Mannan, Affects Hypocholesterolemic Activity of Yeast. Journal of Agricultural and Food Chemistry. 57(17). 8003–8009. 19 indexed citations
7.
Sato, Tadashi, Kazumasa Matsumoto, Takekazu Okumura, et al.. (2008). Isolation of lactate-utilizing butyrate-producing bacteria from human feces and in vivo administration of Anaerostipes caccae strain L2 and galacto-oligosaccharides in a rat model. FEMS Microbiology Ecology. 66(3). 528–536. 69 indexed citations
8.
Yoshida, Y., Eiichiro Naito, Takekazu Okumura, et al.. (2007). Effect ofKluyveromyces marxianusYIT 8292 Crude Cell Wall Fraction on Serum Lipids in Normocholesterolemic and Mildly Hypercholesterolemic Subjects. Bioscience Biotechnology and Biochemistry. 71(4). 900–905. 3 indexed citations
9.
Yoshida, Y., et al.. (2005). Effects of the Cell Wall ofKluyveromyces marxianusYIT 8292 on the Plasma Cholesterol and Fecal Sterol Excretion in Rats Fed on a High-Cholesterol Diet. Bioscience Biotechnology and Biochemistry. 69(4). 714–723. 15 indexed citations
10.
Naito, Eiichiro, et al.. (1991). [Food exchange lists for meal planning].. PubMed. 49 Suppl. 827–38. 5 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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