Kikuko Amo

928 total citations
9 papers, 765 citations indexed

About

Kikuko Amo is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, Kikuko Amo has authored 9 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Molecular Biology and 3 papers in Surgery. Recurrent topics in Kikuko Amo's work include Diet, Metabolism, and Disease (4 papers), Fibroblast Growth Factor Research (3 papers) and Diabetes Treatment and Management (3 papers). Kikuko Amo is often cited by papers focused on Diet, Metabolism, and Disease (4 papers), Fibroblast Growth Factor Research (3 papers) and Diabetes Treatment and Management (3 papers). Kikuko Amo collaborates with scholars based in Japan and Netherlands. Kikuko Amo's co-authors include Eiji Takeda, Yutaka Taketani, Nagakatsu Harada, Hironori Yamamoto, Minako Sato, Yutaka Nakaya, Masashi Isshiki, Emi Shuto, Yukihito Higashi and Rieko Tanaka and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Diabetes.

In The Last Decade

Kikuko Amo

9 papers receiving 749 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kikuko Amo Japan 7 276 268 221 153 147 9 765
Chenzhong Li China 9 174 0.6× 160 0.6× 287 1.3× 133 0.9× 66 0.4× 20 605
Kazu Hamada Japan 8 196 0.7× 208 0.8× 98 0.4× 104 0.7× 27 0.2× 16 551
Ryo Kodera Japan 10 170 0.6× 138 0.5× 372 1.7× 188 1.2× 59 0.4× 16 648
Amanda Mather Australia 8 274 1.0× 234 0.9× 506 2.3× 270 1.8× 44 0.3× 22 804
Britt Opdebeeck Belgium 10 187 0.7× 300 1.1× 73 0.3× 72 0.5× 63 0.4× 18 568
Magdalena González Chile 11 203 0.7× 114 0.4× 253 1.1× 106 0.7× 89 0.6× 16 595
J Ringel Germany 14 313 1.1× 42 0.2× 278 1.3× 87 0.6× 206 1.4× 26 816
Yuya Tsurutani Japan 15 245 0.9× 46 0.2× 254 1.1× 211 1.4× 129 0.9× 54 700
Tatsuyuki Inoue Japan 12 189 0.7× 315 1.2× 99 0.4× 147 1.0× 36 0.2× 19 593
Fotini Adamidou Greece 14 96 0.3× 62 0.2× 399 1.8× 204 1.3× 59 0.4× 31 634

Countries citing papers authored by Kikuko Amo

Since Specialization
Citations

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

Fields of papers citing papers by Kikuko Amo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kikuko Amo

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

All Works

9 of 9 papers shown
1.
Amo, Kikuko, Yutaka Taketani, Makiko Fukaya, et al.. (2014). Dietary combination of sucrose and linoleic acid causes skeletal muscle metabolic abnormalities in Zucker fatty rats through specific modification of fatty acid composition. Journal of Clinical Biochemistry and Nutrition. 55(1). 15–25. 6 indexed citations
2.
Yuasa, Tomoyuki, Kikuko Amo, Shuhei Ishikura, et al.. (2014). Development of in vitro model of insulin receptor cleavage induced by high glucose in HepG2 cells. Biochemical and Biophysical Research Communications. 445(1). 236–243. 12 indexed citations
3.
Taketani, Yutaka, et al.. (2013). Induction of the hepatic stearoyl-CoA desaturase 1 gene in offspring after isocaloric administration of high fat sucrose diet during gestation. Journal of Clinical Biochemistry and Nutrition. 53(3). 150–157. 6 indexed citations
4.
Uebanso, Takashi, Yutaka Taketani, Hironori Yamamoto, et al.. (2011). Paradoxical Regulation of Human FGF21 by Both Fasting and Feeding Signals: Is FGF21 a Nutritional Adaptation Factor?. PLoS ONE. 6(8). e22976–e22976. 79 indexed citations
5.
Shirakawa, Jun, Kikuko Amo, Kazuki Orime, et al.. (2011). Protective Effects of Dipeptidyl Peptidase-4 (DPP-4) Inhibitor against Increased β Cell Apoptosis Induced by Dietary Sucrose and Linoleic Acid in Mice with Diabetes. Journal of Biological Chemistry. 286(29). 25467–25476. 49 indexed citations
6.
Uebanso, Takashi, Yutaka Taketani, Hironori Yamamoto, et al.. (2011). Liver X receptor negatively regulates fibroblast growth factor 21 in the fatty liver induced by cholesterol-enriched diet. The Journal of Nutritional Biochemistry. 23(7). 785–790. 32 indexed citations
7.
Shirakawa, Jun, Hideki Fujii, Kei Ohnuma, et al.. (2011). Diet-Induced Adipose Tissue Inflammation and Liver Steatosis Are Prevented by DPP-4 Inhibition in Diabetic Mice. Diabetes. 60(4). 1246–1257. 219 indexed citations
8.
Shuto, Emi, Yutaka Taketani, Rieko Tanaka, et al.. (2009). Dietary Phosphorus Acutely Impairs Endothelial Function. Journal of the American Society of Nephrology. 20(7). 1504–1512. 314 indexed citations
9.
Uebanso, Takashi, Yutaka Taketani, Makiko Fukaya, et al.. (2009). Hypocaloric high-protein diet improves fatty liver and hypertriglyceridemia in sucrose-fed obese rats via two pathways. American Journal of Physiology-Endocrinology and Metabolism. 297(1). E76–E84. 48 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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