Junki Miyamoto

3.0k total citations · 2 hit papers
41 papers, 1.9k citations indexed

About

Junki Miyamoto is a scholar working on Molecular Biology, Physiology and Nutrition and Dietetics. According to data from OpenAlex, Junki Miyamoto has authored 41 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 16 papers in Physiology and 12 papers in Nutrition and Dietetics. Recurrent topics in Junki Miyamoto's work include Gut microbiota and health (19 papers), Diet and metabolism studies (12 papers) and Dietary Effects on Health (6 papers). Junki Miyamoto is often cited by papers focused on Gut microbiota and health (19 papers), Diet and metabolism studies (12 papers) and Dietary Effects on Health (6 papers). Junki Miyamoto collaborates with scholars based in Japan, Italy and United States. Junki Miyamoto's co-authors include Ikuo Kimura, Mayu Kasubuchi, Hiroshi Itoh, Junichiro Irie, Keita Watanabe, Mauro Rossi, Akira Nakajima, Jun Ogawa, Atsuhiko Ichimura and Shigenobu Kishino and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Junki Miyamoto

40 papers receiving 1.8k citations

Hit Papers

Gut microbiota confers host resistance to obesity by meta... 2019 2026 2021 2023 2019 2023 50 100 150 200 250

Peers

Junki Miyamoto
Jieping Yang United States
Saad Al-Lahham Palestinian Territory
Michael Pellizzon United States
Junki Miyamoto
Citations per year, relative to Junki Miyamoto Junki Miyamoto (= 1×) peers Alesia Walker

Countries citing papers authored by Junki Miyamoto

Since Specialization
Citations

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

Fields of papers citing papers by Junki Miyamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junki Miyamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Junki Miyamoto. A scholar is included among the top collaborators of Junki Miyamoto 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 Junki Miyamoto. Junki Miyamoto 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.
Watanabe, Keita, Mayu Yamano, Junki Miyamoto, et al.. (2025). Maternal progesterone and adipose mPRε in pregnancy regulate the embryonic nutritional state. Cell Reports. 44(3). 115433–115433. 1 indexed citations
3.
Chubachi, Shotaro, Junki Miyamoto, Takashi Shimada, et al.. (2024). Impact of smoking on gut microbiota and short-chain fatty acids in human and mice: Implications for COPD. Mucosal Immunology. 18(2). 353–365. 9 indexed citations
4.
Maurano, Francesco, et al.. (2024). High Fat Diet–Wheat Gliadin Interaction and its Implication for Obesity and Celiac Disease Onset: In Vivo Studies. Molecular Nutrition & Food Research. 68(9). e2300779–e2300779. 1 indexed citations
5.
Miyamoto, Junki, Hidenori Shimizu, Keiko Hisa, et al.. (2023). Host metabolic benefits of prebiotic exopolysaccharides produced by Leuconostoc mesenteroides. Gut Microbes. 15(1). 2161271–2161271. 45 indexed citations
7.
Ma, Yujie, Eunyoung Lee, Junki Miyamoto, et al.. (2022). Phloretin suppresses carbohydrate-induced GLP-1 secretion via inhibiting short chain fatty acid release from gut microbiome. Biochemical and Biophysical Research Communications. 621. 176–182. 7 indexed citations
8.
Nishida, Akari, Junki Miyamoto, Hidenori Shimizu, & Ikuo Kimura. (2021). Gut microbial short-chain fatty acids-mediated olfactory receptor 78 stimulation promotes anorexigenic gut hormone peptide YY secretion in mice. Biochemical and Biophysical Research Communications. 557. 48–54. 36 indexed citations
9.
Miyamoto, Junki, Ryuji Ohue‐Kitano, Akari Nishida, et al.. (2019). Ketone body receptor GPR43 regulates lipid metabolism under ketogenic conditions. Proceedings of the National Academy of Sciences. 116(47). 23813–23821. 92 indexed citations
10.
Lee, Eunyoung, Emily L. Miedzybrodzka, Xilin Zhang, et al.. (2019). Diet-Induced Obese Mice and Leptin-Deficient Lepob/ob Mice Exhibit Increased Circulating GIP Levels Produced by Different Mechanisms. International Journal of Molecular Sciences. 20(18). 4448–4448. 6 indexed citations
11.
Miyamoto, Junki, Miki Igarashi, Keita Watanabe, et al.. (2019). Gut microbiota confers host resistance to obesity by metabolizing dietary polyunsaturated fatty acids. Nature Communications. 10(1). 4007–4007. 288 indexed citations breakdown →
12.
Ohue‐Kitano, Ryuji, Satsuki Taira, Keita Watanabe, et al.. (2019). 3-(4-Hydroxy-3-methoxyphenyl)propionic Acid Produced from 4-Hydroxy-3-methoxycinnamic Acid by Gut Microbiota Improves Host Metabolic Condition in Diet-Induced Obese Mice. Nutrients. 11(5). 1036–1036. 28 indexed citations
13.
Miyamoto, Junki, Keita Watanabe, Satsuki Taira, et al.. (2018). Barley β-glucan improves metabolic condition via short-chain fatty acids produced by gut microbial fermentation in high fat diet fed mice. PLoS ONE. 13(4). e0196579–e0196579. 114 indexed citations
14.
Li, Xuan, Junki Miyamoto, Miki Igarashi, et al.. (2018). Dietary mung bean protein reduces high-fat diet-induced weight gain by modulating host bile acid metabolism in a gut microbiota-dependent manner. Biochemical and Biophysical Research Communications. 501(4). 955–961. 75 indexed citations
15.
Watanabe, Keita, Miki Igarashi, Xuan Li, et al.. (2018). Dietary soybean protein ameliorates high-fat diet-induced obesity by modifying the gut microbiota-dependent biotransformation of bile acids. PLoS ONE. 13(8). e0202083–e0202083. 55 indexed citations
16.
Miyamoto, Junki, Takahiro Kawakami, Si‐Bum Park, et al.. (2017). Supplemental feeding of a gut microbial metabolite of linoleic acid, 10-hydroxy-cis-12-octadecenoic acid, alleviates spontaneous atopic dermatitis and modulates intestinal microbiota in NC/nga mice. International Journal of Food Sciences and Nutrition. 68(8). 941–951. 57 indexed citations
17.
Nakajima, Akihito, Naoko Kaga, Yumiko Nakanishi, et al.. (2017). Maternal High Fiber Diet during Pregnancy and Lactation Influences Regulatory T Cell Differentiation in Offspring in Mice. The Journal of Immunology. 199(10). 3516–3524. 105 indexed citations
18.
Miyamoto, Junki, Shigenobu Kishino, Ikuo Kimura, et al.. (2014). A Gut Microbial Metabolite of Linoleic Acid, 10-Hydroxy-cis-12-octadecenoic Acid, Ameliorates Intestinal Epithelial Barrier Impairment Partially via GPR40-MEK-ERK Pathway. Journal of Biological Chemistry. 290(5). 2902–2918. 197 indexed citations
19.
Luongo, Diomira, Junki Miyamoto, Paolo Bergamo, et al.. (2013). Differential modulation of innate immunity in vitro by probiotic strains of Lactobacillus gasseri. BMC Microbiology. 13(1). 298–298. 30 indexed citations
20.
Miyauchi, Eiji, Tasuku Ogita, Junki Miyamoto, et al.. (2013). Bifidobacterium longum Alleviates Dextran Sulfate Sodium-Induced Colitis by Suppressing IL-17A Response: Involvement of Intestinal Epithelial Costimulatory Molecules. PLoS ONE. 8(11). e79735–e79735. 54 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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