Yuka Kishimoto

1.2k total citations
38 papers, 998 citations indexed

About

Yuka Kishimoto is a scholar working on Physiology, Nutrition and Dietetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Yuka Kishimoto has authored 38 papers receiving a total of 998 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Physiology, 11 papers in Nutrition and Dietetics and 10 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Yuka Kishimoto's work include Diet and metabolism studies (12 papers), Diet, Metabolism, and Disease (9 papers) and Digestive system and related health (8 papers). Yuka Kishimoto is often cited by papers focused on Diet and metabolism studies (12 papers), Diet, Metabolism, and Disease (9 papers) and Digestive system and related health (8 papers). Yuka Kishimoto collaborates with scholars based in Japan, United States and Australia. Yuka Kishimoto's co-authors include Kazuhiro Okuma, H. Moser, James A. Hamilton, Yuko Yoshikawa, Tetsuo Iida, Hideki Yoshikawa, Hiroshi Hara, Noriko Hayashi, Ken Izumori and Kazunori Yoshida and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and Brain Research.

In The Last Decade

Yuka Kishimoto

38 papers receiving 942 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuka Kishimoto Japan 16 328 288 286 227 113 38 998
Maria Stefania Spagnuolo Italy 18 234 0.7× 345 1.2× 334 1.2× 108 0.5× 134 1.2× 56 957
Sangita G. Murali United States 15 133 0.4× 255 0.9× 318 1.1× 244 1.1× 28 0.2× 28 818
Grzegorz Burnat Poland 21 94 0.3× 195 0.7× 292 1.0× 170 0.7× 108 1.0× 39 1.1k
Omar Maschi Italy 15 180 0.5× 138 0.5× 205 0.7× 92 0.4× 19 0.2× 16 915
Kevin W. Huggins United States 18 146 0.4× 422 1.5× 361 1.3× 97 0.4× 101 0.9× 32 981
Adam I. Cygankiewicz Poland 20 109 0.3× 339 1.2× 323 1.1× 375 1.7× 57 0.5× 29 1.2k
María Castelló‐Ruiz Spain 17 81 0.2× 128 0.4× 347 1.2× 107 0.5× 45 0.4× 40 785
Inés Martín‐Lacave Spain 18 241 0.7× 199 0.7× 257 0.9× 66 0.3× 60 0.5× 49 1.2k
Karen M. Keane United Kingdom 18 114 0.3× 138 0.5× 264 0.9× 69 0.3× 43 0.4× 42 1.1k
Laura Martínez-Gili Spain 19 164 0.5× 377 1.3× 670 2.3× 65 0.3× 565 5.0× 34 1.6k

Countries citing papers authored by Yuka Kishimoto

Since Specialization
Citations

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

Fields of papers citing papers by Yuka Kishimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuka Kishimoto

This figure shows the co-authorship network connecting the top 25 collaborators of Yuka Kishimoto. A scholar is included among the top collaborators of Yuka Kishimoto 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 Yuka Kishimoto. Yuka Kishimoto 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.
Yoshihara, Akihide, Susumu Mochizuki, Shiro Kato, et al.. (2023). Safety evaluation and maximum use level for transient ingestion in humans of allitol. Bioscience Biotechnology and Biochemistry. 87(10). 1193–1204. 2 indexed citations
2.
Shahid, Abu Sadat Mohammad Sayeem Bin, Shahnawaz Ahmed, Yuka Kishimoto, et al.. (2023). Is Fibersol-2 efficacious in reducing duration of watery diarrhea and stool output in children 1–3 years old? A randomized, parallel, double-blinded, placebo-controlled, two arm clinical trial. PLoS ONE. 18(1). e0280934–e0280934. 1 indexed citations
3.
Hayakawa, Masaki, Tohru Hira, Masako Nakamura, et al.. (2018). Secretion of GLP-1 but not GIP is potently stimulated by luminal d -Allulose ( d -Psicose) in rats. Biochemical and Biophysical Research Communications. 496(3). 898–903. 23 indexed citations
4.
5.
Yamada, Takako, Tomoya Shintani, Tetsuo Iida, Yuka Kishimoto, & Kazuhiro Okuma. (2017). Effect of Ingestion of Rare Sugar Syrup on the Blood Glucose Response in Humans. Nippon Eiyo Shokuryo Gakkaishi. 70(6). 271–278. 6 indexed citations
6.
Hira, Tohru, et al.. (2015). Resistant maltodextrin promotes fasting glucagon-like peptide-1 secretion and production together with glucose tolerance in rats. British Journal Of Nutrition. 114(1). 34–42. 31 indexed citations
7.
Kishimoto, Yuka, et al.. (2013). The Maximum Single Dose of Resistant Maltodextrin That Does Not Cause Diarrhea in Humans. Journal of Nutritional Science and Vitaminology. 59(4). 352–357. 13 indexed citations
8.
Kishimoto, Yuka, et al.. (2012). Energy Value Evaluation of Hydrogenated Resistant Maltodextrin. Bioscience Biotechnology and Biochemistry. 76(10). 1828–1834. 2 indexed citations
9.
Hashizume, Chieko, et al.. (2012). Improvement Effect of Resistant Maltodextrin in Humans with Metabolic Syndrome by Continuous Administration. Journal of Nutritional Science and Vitaminology. 58(6). 423–430. 42 indexed citations
10.
Iida, Tetsuo, Noriko Hayashi, Takako Yamada, et al.. (2009). Failure of d-psicose absorbed in the small intestine to metabolize into energy and its low large intestinal fermentability in humans. Metabolism. 59(2). 206–214. 108 indexed citations
11.
Nakagawa, Chie, et al.. (2009). Promotive effects of resistant maltodextrin on apparent absorption of calcium, magnesium, iron and zinc in rats. European Journal of Nutrition. 49(3). 165–171. 40 indexed citations
12.
Kishimoto, Yuka, et al.. (2007). Suppressive effect of resistant maltodextrin on postprandial blood triacylglycerol elevation. European Journal of Nutrition. 46(3). 133–138. 54 indexed citations
13.
Hayashi, Noriko, et al.. (2006). Effects of Resistant Hydrogenated Starch Hydrolysate on Postprandial Blood Glucose Levels. Nippon Eiyo Shokuryo Gakkaishi. 59(5). 247–253. 6 indexed citations
14.
Okuma, Kazuhiro, et al.. (2006). Development of Indigestible Dextrin. Journal of Applied Glycoscience. 53(1). 65–69. 11 indexed citations
15.
Kishimoto, Yuka, et al.. (2001). Acute Toxicity and Mutagenicity Study on Branched Corn Syrup and Evaluation of Its Laxative Effect in Humans.. Journal of Nutritional Science and Vitaminology. 47(2). 126–131. 1 indexed citations
16.
Kishimoto, Yuka, et al.. (1995). Effects of indigestible dextrin on glucose tolerance in rats. Journal of Endocrinology. 144(3). 533–538. 27 indexed citations
17.
Moser, H., et al.. (1995). Interactions of a very long chain fatty acid with model membranes and serum albumin. Implications for the pathogenesis of adrenoleukodystrophy.. Journal of Clinical Investigation. 96(3). 1455–1463. 158 indexed citations
18.
Kishimoto, Yuka, et al.. (1995). Effects of Intravenous Injection and Intraperitoneal Continual Administration of Sodium Propionate on Serum Cholesterol Levels in Rats.. Journal of Nutritional Science and Vitaminology. 41(1). 73–81. 8 indexed citations
19.
20.
Kishimoto, Yuka, et al.. (1990). Cortical laminar distribution of rat thalamic ventrolateral fibers demonstrated by the PHA-L anterograde labeling method. Neuroscience Research. 9(2). 148–154. 22 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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