Takeru Sakai

479 total citations
11 papers, 379 citations indexed

About

Takeru Sakai is a scholar working on Endocrine and Autonomic Systems, Epidemiology and Molecular Biology. According to data from OpenAlex, Takeru Sakai has authored 11 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Endocrine and Autonomic Systems, 5 papers in Epidemiology and 4 papers in Molecular Biology. Recurrent topics in Takeru Sakai's work include Regulation of Appetite and Obesity (5 papers), Liver Disease Diagnosis and Treatment (4 papers) and Adipose Tissue and Metabolism (3 papers). Takeru Sakai is often cited by papers focused on Regulation of Appetite and Obesity (5 papers), Liver Disease Diagnosis and Treatment (4 papers) and Adipose Tissue and Metabolism (3 papers). Takeru Sakai collaborates with scholars based in Japan and China. Takeru Sakai's co-authors include Yoshihiro Ogawa, Toru Kusakabe, Ken Ebihara, Daisuke Aotani, Michiko Itoh, Sayaka Kanai, Kiminori Hosoda, Takayoshi Suganami, Megumi Aizawa‐Abe and Ibuki Shirakawa and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Takeru Sakai

11 papers receiving 377 citations

Peers

Takeru Sakai
Takeru Sakai
Citations per year, relative to Takeru Sakai Takeru Sakai (= 1×) peers Toshihiko Hashinaga

Countries citing papers authored by Takeru Sakai

Since Specialization
Citations

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

Fields of papers citing papers by Takeru Sakai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeru Sakai

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

All Works

11 of 11 papers shown
1.
Sakai, Takeru, et al.. (2021). Time in range correlates glycated albumin measured immediately after 2 weeks of continuous glucose monitoring. Journal of Diabetes and its Complications. 35(8). 107962–107962. 5 indexed citations
2.
Asakawa, M, Michiko Itoh, Takayoshi Suganami, et al.. (2019). Upregulation of cancer-associated gene expression in activated fibroblasts in a mouse model of non-alcoholic steatohepatitis. Scientific Reports. 9(1). 19601–19601. 19 indexed citations
3.
Goto, Toshihiro, Michiko Itoh, Takayoshi Suganami, et al.. (2018). Obeticholic acid protects against hepatocyte death and liver fibrosis in a murine model of nonalcoholic steatohepatitis. Scientific Reports. 8(1). 8157–8157. 66 indexed citations
4.
Itoh, Michiko, Takayoshi Suganami, Hideaki Kato, et al.. (2017). CD11c+ resident macrophages drive hepatocyte death-triggered liver fibrosis in a murine model of nonalcoholic steatohepatitis. JCI Insight. 2(22). 68 indexed citations
5.
Itoh, Michiko, Takayoshi Suganami, Sayaka Kanai, et al.. (2015). Eicosapentaenoic Acid Ameliorates Non-Alcoholic Steatohepatitis in a Novel Mouse Model Using Melanocortin 4 Receptor-Deficient Mice. PLoS ONE. 10(3). e0121528–e0121528. 34 indexed citations
6.
Ebihara, Ken, Megumi Aizawa‐Abe, Tomoji Mashimo, et al.. (2015). Seipin is necessary for normal brain development and spermatogenesis in addition to adipogenesis. Human Molecular Genetics. 24(15). 4238–4249. 40 indexed citations
7.
Sakai, Takeru, Toru Kusakabe, Ken Ebihara, et al.. (2014). Leptin restores the insulinotropic effect of exenatide in a mouse model of type 2 diabetes with increased adiposity induced by streptozotocin and high-fat diet. American Journal of Physiology-Endocrinology and Metabolism. 307(8). E712–E719. 11 indexed citations
8.
Aizawa‐Abe, Megumi, Ken Ebihara, Tomoji Mashimo, et al.. (2013). Generation of leptin-deficient Lepmkyo/Lepmkyo rats and identification of leptin-responsive genes in the liver. Physiological Genomics. 45(17). 786–793. 11 indexed citations
9.
Miyamoto, Licht, Ken Ebihara, Toru Kusakabe, et al.. (2012). Leptin Activates Hepatic 5′-AMP-activated Protein Kinase through Sympathetic Nervous System and α1-Adrenergic Receptor. Journal of Biological Chemistry. 287(48). 40441–40447. 63 indexed citations
10.
Aotani, Daisuke, Ken Ebihara, Nobukatsu Sawamoto, et al.. (2012). Functional Magnetic Resonance Imaging Analysis of Food-Related Brain Activity in Patients with Lipodystrophy Undergoing Leptin Replacement Therapy. The Journal of Clinical Endocrinology & Metabolism. 97(10). 3663–3671. 37 indexed citations
11.
Kusakabe, Toru, Ken Ebihara, Takeru Sakai, et al.. (2012). Amylin improves the effect of leptin on insulin sensitivity in leptin-resistant diet-induced obese mice. American Journal of Physiology-Endocrinology and Metabolism. 302(8). E924–E931. 25 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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