Yu Togashi

1.0k total citations
44 papers, 820 citations indexed

About

Yu Togashi is a scholar working on Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Yu Togashi has authored 44 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 25 papers in Surgery and 21 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Yu Togashi's work include Pancreatic function and diabetes (23 papers), Metabolism, Diabetes, and Cancer (22 papers) and Diabetes Treatment and Management (17 papers). Yu Togashi is often cited by papers focused on Pancreatic function and diabetes (23 papers), Metabolism, Diabetes, and Cancer (22 papers) and Diabetes Treatment and Management (17 papers). Yu Togashi collaborates with scholars based in Japan, Canada and United States. Yu Togashi's co-authors include Yasuo Terauchi, Jun Shirakawa, Kazuki Tajima, Tomoko Okuyama, Kazutaka Aoki, Mayu Kyohara, Kazuki Orime, Yuzuru Ito, Hideaki Inoue and Shunsuke Yamazaki and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Diabetes.

In The Last Decade

Yu Togashi

43 papers receiving 813 citations

Peers

Yu Togashi
Zandong Yang United States
Kentaro Toyoda Japan
Melissa F. Brereton United Kingdom
Mototsugu Nagao Japan
Vasumathi T. Reddy United States
Hannah J. Welters United Kingdom
Jeffery S. Tessem United States
Ewa Gurgul-Convey Germany
Ming Lu China
Zandong Yang United States
Yu Togashi
Citations per year, relative to Yu Togashi Yu Togashi (= 1×) peers Zandong Yang

Countries citing papers authored by Yu Togashi

Since Specialization
Citations

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

Fields of papers citing papers by Yu Togashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Togashi

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Togashi. A scholar is included among the top collaborators of Yu Togashi 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 Yu Togashi. Yu Togashi 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.
Okuyama, Tomoko, Ryota Inoue, Mayu Kyohara, et al.. (2025). The matricellular protein Fibulin-5 regulates β-cell proliferation in an autocrine/paracrine manner. iScience. 28(2). 111856–111856.
2.
Ono, Masato, Ryota Inoue, Ayako Fukunaka, et al.. (2023). Protective Effects of Imeglimin and Metformin Combination Therapy on β-Cells in db/db Male Mice. Endocrinology. 164(8). 13 indexed citations
3.
Inoue, Ryota, Yu Togashi, Tomoko Okuyama, et al.. (2022). Uncoupling protein 2 and aldolase B impact insulin release by modulating mitochondrial function and Ca2+ release from the ER. iScience. 25(7). 104603–104603. 14 indexed citations
4.
Shirakawa, Jun, Yu Togashi, Giorgio Basile, et al.. (2022). E2F1 transcription factor mediates a link between fat and islets to promote β cell proliferation in response to acute insulin resistance. Cell Reports. 41(1). 111436–111436. 16 indexed citations
5.
Inoue, Ryota, Tomoko Okuyama, Mayu Kyohara, et al.. (2022). Protective effects of S100A8 on sepsis mortality: Links to sepsis risk in obesity and diabetes. iScience. 25(12). 105662–105662. 9 indexed citations
6.
Shirakawa, Jun, et al.. (2021). Asymptomatic meningitis diagnosed by positron emission tomography in a patient with syndrome of inappropriate antidiuretic hormone secretion: a case report. Journal of Medical Case Reports. 15(1). 390–390. 1 indexed citations
7.
Okuyama, Tomoko, Jun Shirakawa, Takashi Nakamura, et al.. (2021). Association of the plasma xanthine oxidoreductase activity with the metabolic parameters and vascular complications in patients with type 2 diabetes. Scientific Reports. 11(1). 3768–3768. 14 indexed citations
8.
Inoue, Ryota, Tomoko Okuyama, Mayu Kyohara, et al.. (2021). Immediate Glucose-Lowering Effect After the First Administration of Dulaglutide: A Retrospective, Single-Center, Observational Study. Diabetes Therapy. 12(11). 2873–2889. 2 indexed citations
9.
Li, Jinghe, Ryota Inoue, Yu Togashi, et al.. (2021). Imeglimin Ameliorates β-Cell Apoptosis by Modulating the Endoplasmic Reticulum Homeostasis Pathway. Diabetes. 71(3). 424–439. 51 indexed citations
10.
Kyohara, Mayu, Jun Shirakawa, Tomoko Okuyama, et al.. (2020). Soluble EGFR, a hepatokine, and adipsin, an adipokine, are biomarkers correlated with distinct aspects of insulin resistance in type 2 diabetes subjects. Diabetology & Metabolic Syndrome. 12(1). 83–83. 14 indexed citations
11.
Shirakawa, Jun, Kazuki Tajima, Tomoko Okuyama, et al.. (2020). Luseogliflozin increases beta cell proliferation through humoral factors that activate an insulin receptor- and IGF-1 receptor-independent pathway. Diabetologia. 63(3). 577–587. 26 indexed citations
12.
Jungtrakoon, Prapaporn, Jun Shirakawa, Yu Togashi, et al.. (2020). Autosomal dominant diabetes associated with a novel ZYG11A mutation resulting in cell cycle arrest in beta-cells. Molecular and Cellular Endocrinology. 522. 111126–111126. 2 indexed citations
13.
Okuyama, Tomoko, Jun Shirakawa, Hiromi Yanagisawa, et al.. (2017). Identification of the matricellular protein Fibulin-5 as a target molecule of glucokinase-mediated calcineurin/NFAT signaling in pancreatic islets. Scientific Reports. 7(1). 2364–2364. 8 indexed citations
14.
Tajima, Kazuki, Jun Shirakawa, Tomoko Okuyama, et al.. (2017). Effects of metformin on compensatory pancreatic β-cell hyperplasia in mice fed a high-fat diet. American Journal of Physiology-Endocrinology and Metabolism. 313(3). E367–E380. 26 indexed citations
15.
Tajima, Kazuki, Jun Shirakawa, Yu Togashi, et al.. (2017). Metabolic recovery of lipodystrophy, liver steatosis, and pancreatic β cell proliferation after the withdrawal of OSI-906. Scientific Reports. 7(1). 4119–4119. 12 indexed citations
16.
Togashi, Yu, Jun Shirakawa, Tomoko Okuyama, et al.. (2016). Evaluation of the appropriateness of using glucometers for measuring the blood glucose levels in mice. Scientific Reports. 6(1). 25465–25465. 54 indexed citations
17.
Shirakawa, Jun, Tomoko Okuyama, Mayu Kyohara, et al.. (2016). DPP-4 inhibition improves early mortality, β cell function, and adipose tissue inflammation in db/db mice fed a diet containing sucrose and linoleic acid. Diabetology & Metabolic Syndrome. 8(1). 16–16. 20 indexed citations
18.
Tajima, Kazuki, Jun Shirakawa, Yu Togashi, et al.. (2013). AMPK Is Involved in the Regulation of Incretin Receptors Expression in Pancreatic Islets under a Low Glucose Concentration. PLoS ONE. 8(5). e64633–e64633. 6 indexed citations
19.
Aoki, Kazutaka, et al.. (2013). Mosapride citrate, a 5-HT₄ receptor agonist, increased the plasma active and total glucagon-like peptide-1 levels in non-diabetic men.. PubMed. 60(4). 493–9. 10 indexed citations
20.

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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