Kei Sonoyama

2.5k total citations
88 papers, 2.0k citations indexed

About

Kei Sonoyama is a scholar working on Molecular Biology, Nutrition and Dietetics and Food Science. According to data from OpenAlex, Kei Sonoyama has authored 88 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 27 papers in Nutrition and Dietetics and 22 papers in Food Science. Recurrent topics in Kei Sonoyama's work include Gut microbiota and health (23 papers), Probiotics and Fermented Foods (20 papers) and Microbial Metabolites in Food Biotechnology (12 papers). Kei Sonoyama is often cited by papers focused on Gut microbiota and health (23 papers), Probiotics and Fermented Foods (20 papers) and Microbial Metabolites in Food Biotechnology (12 papers). Kei Sonoyama collaborates with scholars based in Japan, United Kingdom and Germany. Kei Sonoyama's co-authors include Naoki Takemura, Jun Watanabe, Tatsuya Morita, Reiko Fujiwara, Ito H, Michihiro Fukushima, Tetsu Ohashi, Masuo Nakano, Yukiko Fujiwara and Takeshi Tsuruta and has published in prestigious journals such as Applied and Environmental Microbiology, Journal of Agricultural and Food Chemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Kei Sonoyama

85 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kei Sonoyama Japan 25 990 470 408 404 216 88 2.0k
Tatsuya Morita Japan 29 1.0k 1.0× 827 1.8× 527 1.3× 390 1.0× 230 1.1× 101 2.5k
Lianqiang Che China 35 1.2k 1.3× 766 1.6× 345 0.8× 457 1.1× 164 0.8× 204 3.7k
Thea Magrone Italy 26 631 0.6× 285 0.6× 359 0.9× 345 0.9× 171 0.8× 96 2.6k
Kirsti Tiihonen Finland 28 1.0k 1.0× 519 1.1× 632 1.5× 629 1.6× 144 0.7× 60 2.6k
Mirco Vacca Italy 20 1.5k 1.5× 428 0.9× 448 1.1× 649 1.6× 149 0.7× 55 2.6k
Yeji Kim South Korea 22 1.4k 1.5× 204 0.4× 208 0.5× 344 0.9× 232 1.1× 72 2.5k
Xia Xiong China 31 1.1k 1.1× 340 0.7× 245 0.6× 305 0.8× 136 0.6× 99 2.5k
Shinji Murosaki Japan 25 601 0.6× 317 0.7× 555 1.4× 248 0.6× 309 1.4× 47 1.9k
Azadeh Emam Canada 8 1.3k 1.3× 934 2.0× 517 1.3× 898 2.2× 284 1.3× 9 2.8k
Alemu Fite United States 16 1.2k 1.2× 248 0.5× 405 1.0× 270 0.7× 150 0.7× 28 2.0k

Countries citing papers authored by Kei Sonoyama

Since Specialization
Citations

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

Fields of papers citing papers by Kei Sonoyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kei Sonoyama

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

All Works

20 of 20 papers shown
1.
Sonoyama, Kei, et al.. (2023). Role of microRNAs in the crosstalk between the gut microbiota and intestinal immune system. Bioscience of Microbiota Food and Health. 42(4). 222–228. 6 indexed citations
2.
3.
Tsuruta, Takeshi, et al.. (2021). Aicda deficiency exacerbates high-fat diet-induced hyperinsulinemia but not gut dysbiosis in mice. Nutrition Research. 93. 15–26. 2 indexed citations
4.
Kadota, Yoshihiro, et al.. (2020). Intestinal microbiota transplantation reveals the role of microbiota in dietary regulation of RegIIIβ and RegIIIγ expression in mouse intestine. Biochemical and Biophysical Research Communications. 529(1). 64–69. 14 indexed citations
5.
Takemura, Naoki, et al.. (2014). Adiponectin is partially associated with exosomes in mouse serum. Biochemical and Biophysical Research Communications. 448(3). 261–266. 85 indexed citations
6.
Takemura, Naoki, et al.. (2013). KK/Ta Mice Administered <i>Lactobacillus plantarum</i> Strain No. 14 Have Lower Adiposity and Higher Insulin Sensitivity. Bioscience of Microbiota Food and Health. 32(3). 93–100. 34 indexed citations
7.
8.
Takemura, Naoki, et al.. (2010). Inulin-Type Fructans Stimulated the Growth of Exogenously AdministeredLactobacillus plantarumNo. 14 in the Mouse Gastrointestinal Tract. Bioscience Biotechnology and Biochemistry. 74(2). 375–381. 15 indexed citations
9.
Takemura, Naoki, et al.. (2010). Lactobacillus plantarum strain No. 14 reduces adipocyte size in mice fed high-fat diet. Experimental Biology and Medicine. 235(7). 849–856. 139 indexed citations
10.
Sonoyama, Kei, et al.. (2010). Gut colonization byCandida albicansaggravates inflammation in the gut and extra-gut tissues in mice. Medical Mycology. 49(3). 237–247. 36 indexed citations
11.
H, Ito, Eiko Arai, Kimio SUGIYAMA, et al.. (2009). Soluble Fiber Viscosity Affects Both Goblet Cell Number and Small Intestine Mucin Secretion in Rats. Journal of Nutrition. 139(9). 1640–1647. 67 indexed citations
12.
Yamaguchi, Natsu, Kei Sonoyama, Hiroto Kikuchi, et al.. (2005). Gastric Colonization of Candida albicans Differs in Mice Fed Commercial and Purified Diets. Journal of Nutrition. 135(1). 109–115. 57 indexed citations
13.
Tanabe, Satoshi, et al.. (2003). Isolation and Structural Elucidation of a Peptide Derived from Edam Cheese that Inhibits β-Lactoglobulin Transport. Journal of Dairy Science. 86(2). 464–468. 15 indexed citations
14.
Saito, Ryo�, Natsu Yamaguchi, Kei Sonoyama, & Jun Kawabata. (2003). Effect of Enzymatic Modification of Dietary Wheat Flour for Reducing Its Allergenicity on Oral Sensitization to and Intestinal Absorption of Ovalbumin. Bioscience Biotechnology and Biochemistry. 67(11). 2483–2485. 7 indexed citations
15.
Tanabe, Soichi, Jun Watanabe, Kei Sonoyama, & Michiko Watanabe. (2001). . KAGAKU TO SEIBUTSU. 39(7). 440–447. 2 indexed citations
16.
Ishizuka, Satoshi, Kei Sonoyama, & Takanori Kasai. (1997). Changes in the Number and Apoptosis of Epithelial Cells in the Colorectum of Wheat Bran-fed Rats Soon after Administering 1,2-Dimethylhydrazine. Bioscience Biotechnology and Biochemistry. 61(8). 1337–1341. 9 indexed citations
17.
Sonoyama, Kei, Hiroyuki Nishikawa, Shuhachi Kiriyama, & Ryoya Niki. (1995). Apolipoprotein mRNA in Liver and Intestine of Rats is Affected by Dietary Beet Fiber or Cholestyramine. Journal of Nutrition. 125(1). 13–19. 16 indexed citations
18.
Sonoyama, Kei, Hiroyuki Nishikawa, Shuhachi Kiriyama, & Ryoya Niki. (1994). Bile Diversion Lowers Apolipoprotein A-I and A-IV mRNA Levels in Rat Ileum.. Journal of Nutritional Science and Vitaminology. 40(4). 343–352. 6 indexed citations
19.
Sonoyama, Kei, Hiroyuki Nishikawa, Shuhachi Kiriyama, & Ryoya Niki. (1994). Cholestyramine and a Fat-Free Diet Lower Apolipoprotein A-IV mRNA in Jejunum and Cholestyramine Lowers Apolipoprotein A-I mRNA in Ileum of Rats. Journal of Nutrition. 124(5). 621–627. 7 indexed citations
20.
Kasai, Takanori, Tomoyuki Tanaka, Shuhachi Kiriyama, & Kei Sonoyama. (1993). Facile Preparation of Rat Intestinal Mucosa for Assay of Mucosal Enzyme Activity.. Journal of Nutritional Science and Vitaminology. 39(4). 399–403. 13 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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