Tetsuo Iida

1.6k total citations
43 papers, 1.3k citations indexed

About

Tetsuo Iida is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Epidemiology. According to data from OpenAlex, Tetsuo Iida has authored 43 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Endocrinology, Diabetes and Metabolism, 26 papers in Physiology and 17 papers in Epidemiology. Recurrent topics in Tetsuo Iida's work include Diet, Metabolism, and Disease (38 papers), Diet and metabolism studies (26 papers) and Liver Disease Diagnosis and Treatment (17 papers). Tetsuo Iida is often cited by papers focused on Diet, Metabolism, and Disease (38 papers), Diet and metabolism studies (26 papers) and Liver Disease Diagnosis and Treatment (17 papers). Tetsuo Iida collaborates with scholars based in Japan, United States and Australia. Tetsuo Iida's co-authors include Takako Yamada, Noriko Hayashi, Kazuhiro Okuma, Tatsuhiro Matsuo, Masaaki Tokuda, Ken Izumori, Yuka Kishimoto, Tatsuya Kondo, Makoto Oka and Satoshi Goto and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Tetsuo Iida

42 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tetsuo Iida Japan 18 896 392 383 256 146 43 1.3k
Chiara Saponaro Italy 13 375 0.4× 322 0.8× 250 0.7× 433 1.7× 58 0.4× 27 1.0k
Michael Löffler Germany 17 178 0.2× 425 1.1× 530 1.4× 338 1.3× 184 1.3× 22 1.1k
W. Bietiger France 16 341 0.4× 169 0.4× 182 0.5× 164 0.6× 41 0.3× 33 836
Élisa Maillard France 17 401 0.4× 157 0.4× 238 0.6× 158 0.6× 41 0.3× 45 959
Traci E. LaMoia United States 6 198 0.2× 141 0.4× 391 1.0× 79 0.3× 94 0.6× 8 690
A Vrána Czechia 16 323 0.4× 318 0.8× 242 0.6× 171 0.7× 55 0.4× 48 724
C. Péronet France 14 259 0.3× 133 0.3× 124 0.3× 133 0.5× 34 0.2× 19 574
Ana Paula Franco Lambert Brazil 7 167 0.2× 89 0.2× 203 0.5× 97 0.4× 35 0.2× 16 668
Zhiwen Yu China 11 140 0.2× 195 0.5× 199 0.5× 114 0.4× 37 0.3× 14 555
Alexandra K. Leamy United States 6 176 0.2× 154 0.4× 270 0.7× 439 1.7× 53 0.4× 8 742

Countries citing papers authored by Tetsuo Iida

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuo Iida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuo Iida

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuo Iida. A scholar is included among the top collaborators of Tetsuo Iida 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 Tetsuo Iida. Tetsuo Iida 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.
Shintani, Tomoya, et al.. (2024). Long-term d-allose administration ameliorates age-related cognitive impairment and loss of bone strength in male mice. Experimental Gerontology. 196. 112555–112555. 3 indexed citations
2.
Matsuo, T., Chihiro Yokoyama, Takako Yamada, et al.. (2024). Anti-Obesity Effects of Dietary d-Allulose and Medium-Chain Triglycerides in High-Fat Diet-Fed Rats. Food and Nutrition Sciences. 15(8). 701–710. 1 indexed citations
3.
Tsuzuki, Takamasa, Takako Yamada, Tetsuo Iida, et al.. (2022). d-Allulose Improves Endurance and Recovery from Exhaustion in Male C57BL/6J Mice. Nutrients. 14(3). 404–404. 11 indexed citations
4.
Iida, Tetsuo, et al.. (2022). d-allulose protects against diabetic nephropathy progression in Otsuka Long-Evans Tokushima Fatty rats with type 2 diabetes. PLoS ONE. 17(1). e0263300–e0263300. 10 indexed citations
5.
Liu, Bingyang, et al.. (2021). d-Allulose Ameliorates Skeletal Muscle Insulin Resistance in High-Fat Diet-Fed Rats. Molecules. 26(20). 6310–6310. 18 indexed citations
6.
7.
Kishida, Kunihiro, Tetsuo Iida, Takako Yamada, & Yukiyasu Toyoda. (2021). d-Allose is absorbed via sodium-dependent glucose cotransporter 1 (SGLT1) in the rat small intestine. SHILAP Revista de lepidopterología. 11. 100112–100112. 6 indexed citations
8.
Tanaka, Misuzu, et al.. (2020). Effects of Chocolate Containing D-allulose on Postprandial Lipid and Carbohydrate Metabolism in Young Japanese Women. Food Science and Technology Research. 26(5). 623–632. 4 indexed citations
9.
Mooradian, Arshag D., et al.. (2019). Naturally occurring rare sugars are free radical scavengers and can ameliorate endoplasmic reticulum stress. International Journal for Vitamin and Nutrition Research. 90(3-4). 210–220. 14 indexed citations
10.
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
11.
Kishida, Kunihiro, G. Martı́nez, Tetsuo Iida, et al.. (2018). d-Allulose is a substrate of glucose transporter type 5 (GLUT5) in the small intestine. Food Chemistry. 277. 604–608. 26 indexed citations
12.
Hayashi, Noriko, et al.. (2017). d-Allulose enhances postprandial fat oxidation in healthy humans. Nutrition. 43-44. 16–20. 44 indexed citations
13.
Yamada, Takako, et al.. (2014). Dietary D-Sorbose Decreases Serum Insulin Levels in Growing Sprague-Dawley Rats. Journal of Nutritional Science and Vitaminology. 60(4). 297–299. 18 indexed citations
14.
Ochiai, Masaru, Yosuke Nakanishi, Takako Yamada, Tetsuo Iida, & Tatsuhiro Matsuo. (2013). Inhibition by DietaryD-Psicose of Body Fat Accumulation in Adult Rats Fed a High-Sucrose Diet. Bioscience Biotechnology and Biochemistry. 77(5). 1123–1126. 37 indexed citations
15.
Ochiai, Masaru, et al.. (2013). d-Psicose increases energy expenditure and decreases body fat accumulation in rats fed a high-sucrose diet. International Journal of Food Sciences and Nutrition. 65(2). 245–250. 64 indexed citations
16.
Yamada, Takako, et al.. (2010). Effects of D-psicose on Body Fat Accumulation and High Fructose Corn Syrup Diets in Rats. Nippon Shokuhin Kagaku Kogaku Kaishi. 57(6). 263–267. 9 indexed citations
17.
Hayashi, Noriko, Tetsuo Iida, Takako Yamada, et al.. (2010). Study on the Postprandial Blood Glucose Suppression Effect ofD-Psicose in Borderline Diabetes and the Safety of Long-Term Ingestion by Normal Human Subjects. Bioscience Biotechnology and Biochemistry. 74(3). 510–519. 149 indexed citations
18.
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
19.
Kurisaki, Akira, Tatsuo S. Hamazaki, Koji Okabayashi, et al.. (2005). Chromatin-related proteins in pluripotent mouse embryonic stem cells are downregulated after removal of leukemia inhibitory factor. Biochemical and Biophysical Research Communications. 335(3). 667–675. 33 indexed citations
20.
Goto, Satoshi, et al.. (1999). Overexpression of glutathione S-transferase π enhances the adduct formation of cisplatin with glutathione in human cancer cells. Free Radical Research. 31(6). 549–558. 158 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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