Shigeru Yatoh

3.2k total citations
44 papers, 1.7k citations indexed

About

Shigeru Yatoh is a scholar working on Surgery, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Shigeru Yatoh has authored 44 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Surgery, 20 papers in Molecular Biology and 10 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Shigeru Yatoh's work include Peroxisome Proliferator-Activated Receptors (9 papers), Pancreatic function and diabetes (9 papers) and Cholesterol and Lipid Metabolism (8 papers). Shigeru Yatoh is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (9 papers), Pancreatic function and diabetes (9 papers) and Cholesterol and Lipid Metabolism (8 papers). Shigeru Yatoh collaborates with scholars based in Japan, United States and Norway. Shigeru Yatoh's co-authors include Hitoshi Shimano, Nobuhiro Yamada, Hiroaki Suzuki, Naoya Yahagi, Takashi Matsuzaka, Akimitsu Takahashi, Kazuto Kobayashi, Hirohito Sone, Yoshimi Nakagawa and Susan Bonner‐Weir and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Diabetes.

In The Last Decade

Shigeru Yatoh

44 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shigeru Yatoh Japan 25 793 705 421 344 266 44 1.7k
Bernadette Neve France 17 1.3k 1.7× 740 1.0× 316 0.8× 250 0.7× 255 1.0× 30 2.0k
Elaine Xu Canada 17 762 1.0× 565 0.8× 536 1.3× 399 1.2× 177 0.7× 22 1.7k
Esra Asilmaz United States 14 961 1.2× 480 0.7× 370 0.9× 587 1.7× 250 0.9× 16 2.2k
Wissal El-Assaad Canada 15 985 1.2× 856 1.2× 555 1.3× 249 0.7× 274 1.0× 17 1.9k
Pierre‐Damien Denechaud France 17 1.2k 1.5× 552 0.8× 384 0.9× 609 1.8× 109 0.4× 27 2.0k
Xavier Prieur France 20 796 1.0× 503 0.7× 352 0.8× 392 1.1× 104 0.4× 46 1.8k
Vivian E.H. Dahlmans Netherlands 22 843 1.1× 411 0.6× 362 0.9× 297 0.9× 118 0.4× 34 1.7k
Birgit Knebel Germany 25 838 1.1× 339 0.5× 353 0.8× 502 1.5× 137 0.5× 84 1.7k
Réjane Paumelle France 22 1.0k 1.3× 350 0.5× 321 0.8× 578 1.7× 175 0.7× 31 1.9k
Kazuaki Miyake Japan 17 1.0k 1.3× 514 0.7× 304 0.7× 287 0.8× 278 1.0× 31 1.6k

Countries citing papers authored by Shigeru Yatoh

Since Specialization
Citations

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

Fields of papers citing papers by Shigeru Yatoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shigeru Yatoh

This figure shows the co-authorship network connecting the top 25 collaborators of Shigeru Yatoh. A scholar is included among the top collaborators of Shigeru Yatoh 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 Shigeru Yatoh. Shigeru Yatoh 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.
Suzuki, Yasuhiro, Hiroaki Suzuki, Tatsuya Ishikawa, et al.. (2022). Exploratory analysis using machine learning of predictive factors for falls in type 2 diabetes. Scientific Reports. 12(1). 11965–11965. 8 indexed citations
2.
Sekiya, Motohiro, Yuki Yamamoto, Yuki Murayama, et al.. (2020). Deciphering genetic signatures by whole exome sequencing in a case of co-prevalence of severe renal hypouricemia and diabetes with impaired insulin secretion. BMC Medical Genetics. 21(1). 91–91. 3 indexed citations
4.
Suzuki, Yasuhiro, Shigeru Yatoh, Hiroaki Suzuki, et al.. (2018). Age-dependent changes in dynamic standing-balance ability evaluated quantitatively using a stabilometer. Journal of Physical Therapy Science. 30(1). 86–91. 15 indexed citations
5.
Ohno, Hiroshi, Takashi Matsuzaka, Rahul Sharma, et al.. (2018). Transgenic Mice Overexpressing SREBP-1a in Male ob/ob Mice Exhibit Lipodystrophy and Exacerbate Insulin Resistance. Endocrinology. 159(6). 2308–2323. 15 indexed citations
6.
Furukawa, Shoko, Hiroaki Suzuki, Kazuya Fujihara, et al.. (2018). Malondialdehyde-modified LDL-related variables are associated with diabetic kidney disease in type 2 diabetes. Diabetes Research and Clinical Practice. 141. 237–243. 13 indexed citations
7.
Han, Song‐iee, Yuki Murayama, Aoi Satoh, et al.. (2017). Selective peroxisome proliferator‐activated receptor‐α modulator K‐877 efficiently activates the peroxisome proliferator‐activated receptor‐α pathway and improves lipid metabolism in mice. Journal of Diabetes Investigation. 8(4). 446–452. 34 indexed citations
8.
Zhao, Hui, Takashi Matsuzaka, Yuta Nakano, et al.. (2017). Elovl6 Deficiency Improves Glycemic Control in Diabetic db/db Mice by Expanding β-Cell Mass and Increasing Insulin Secretory Capacity. Diabetes. 66(7). 1833–1846. 30 indexed citations
9.
Kikuchi, Takuya, Song‐iee Han, Motoko Kuba, et al.. (2016). Intestinal CREBH overexpression prevents high-cholesterol diet-induced hypercholesterolemia by reducing Npc1l1 expression. Molecular Metabolism. 5(11). 1092–1102. 33 indexed citations
10.
Nakagawa, Yoshimi, Aoi Satoh, Song‐iee Han, et al.. (2016). CREB3L3 controls fatty acid oxidation and ketogenesis in synergy with PPARα. Scientific Reports. 6(1). 39182–39182. 44 indexed citations
11.
Osaki, Yoshinori, Yoshimi Nakagawa, Hitoshi Iwasaki, et al.. (2015). Skeletal muscle-specific HMG-CoA reductase knockout mice exhibit rhabdomyolysis: A model for statin-induced myopathy. Biochemical and Biophysical Research Communications. 466(3). 536–540. 61 indexed citations
12.
Fujihara, Kazuya, Hiroaki Suzuki, Akira Sato, et al.. (2015). Circulating Malondialdehyde-Modified LDL-Related Variables and Coronary Artery Stenosis in Asymptomatic Patients with Type 2 Diabetes. Journal of Diabetes Research. 2015. 1–8. 8 indexed citations
13.
Naka, A., Kaoruko Iida, Yoshimi Nakagawa, et al.. (2012). TFE3 inhibits myoblast differentiation in C2C12 cells via down-regulating gene expression of myogenin. Biochemical and Biophysical Research Communications. 430(2). 664–669. 12 indexed citations
15.
Yamamoto, Takashi, Kazuhisa Watanabe, Noriyuki Inoue, et al.. (2010). Protein kinase Cbeta mediates hepatic induction of sterol-regulatory element binding protein-1c by insulin. Journal of Lipid Research. 51(7). 1859–1870. 30 indexed citations
16.
Katsuta, Hitoshi, Tetsuro Akashi, Shigeru Yatoh, et al.. (2009). Differentiation of COPAS-sorted non-endocrine pancreatic cells into insulin-positive cells in the mouse. Diabetologia. 52(4). 645–652. 17 indexed citations
17.
Ishikawa, Mayumi, Yuko Iwasaki, Shigeru Yatoh, et al.. (2008). Cholesterol accumulation and diabetes in pancreatic β-cell-specific SREBP-2 transgenic mice: a new model for lipotoxicity. Journal of Lipid Research. 49(12). 2524–2534. 93 indexed citations
18.
Akashi, Tomoyuki, Hirokazu Shigematsu, Yoshiyuki Hamamoto, et al.. (2008). Bone marrow or foetal liver cells fail to induce islet regeneration in diabetic Akita mice. Diabetes/Metabolism Research and Reviews. 24(7). 585–590. 8 indexed citations
19.
Yatoh, Shigeru, Rikke Dodge, Tomoyuki Akashi, et al.. (2007). Differentiation of Affinity-Purified Human Pancreatic Duct Cells to β-Cells. Diabetes. 56(7). 1802–1809. 112 indexed citations
20.
Yatoh, Shigeru, Tomoyuki Akashi, Phillip P. Chan, et al.. (2006). NeuroD and reaggregation induce β‐cell specific gene expression in cultured hepatocytes. Diabetes/Metabolism Research and Reviews. 23(3). 239–249. 20 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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