Masako Doi

1.2k total citations
20 papers, 887 citations indexed

About

Masako Doi is a scholar working on Physiology, Molecular Biology and Cell Biology. According to data from OpenAlex, Masako Doi has authored 20 papers receiving a total of 887 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Physiology, 9 papers in Molecular Biology and 7 papers in Cell Biology. Recurrent topics in Masako Doi's work include Adipose Tissue and Metabolism (9 papers), Muscle metabolism and nutrition (7 papers) and Metabolism, Diabetes, and Cancer (4 papers). Masako Doi is often cited by papers focused on Adipose Tissue and Metabolism (9 papers), Muscle metabolism and nutrition (7 papers) and Metabolism, Diabetes, and Cancer (4 papers). Masako Doi collaborates with scholars based in Japan, Spain and Belgium. Masako Doi's co-authors include Ippei Yamaoka, Mitsuo Nakayama, Kéiichi Tanaka, Satomi Onosaka, Fumiaki Yoshizawa, Kunio Sugahara, Tetsuya Fukunaga, Shinji Mochizuki, P. L. J. Tan and Shinichi Matsumoto and has published in prestigious journals such as The FASEB Journal, Biochemical and Biophysical Research Communications and Journal of Nutrition.

In The Last Decade

Masako Doi

19 papers receiving 859 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masako Doi Japan 12 283 273 242 185 178 20 887
M. J. Richard France 11 272 1.0× 113 0.4× 224 0.9× 83 0.4× 131 0.7× 17 875
Maria Klaude Sweden 15 418 1.5× 302 1.1× 209 0.9× 116 0.6× 55 0.3× 28 1.1k
Colin Murphy Ireland 16 300 1.1× 408 1.5× 173 0.7× 37 0.2× 111 0.6× 20 968
Lin Tang China 11 307 1.1× 122 0.4× 143 0.6× 194 1.0× 78 0.4× 23 827
G.E. Bunce United States 20 334 1.2× 148 0.5× 373 1.5× 80 0.4× 173 1.0× 51 1.2k
Eric B. Thorstensen New Zealand 16 159 0.6× 134 0.5× 153 0.6× 258 1.4× 47 0.3× 33 956
Murat Kaçmaz Türkiye 18 226 0.8× 99 0.4× 118 0.5× 148 0.8× 65 0.4× 47 980
Hideo Yamamori Japan 17 180 0.6× 269 1.0× 395 1.6× 39 0.2× 219 1.2× 60 862
J Bloch France 4 322 1.1× 217 0.8× 131 0.5× 68 0.4× 92 0.5× 4 1.1k
Sérgio Catanozi Brazil 22 203 0.7× 235 0.9× 207 0.9× 50 0.3× 214 1.2× 57 1.0k

Countries citing papers authored by Masako Doi

Since Specialization
Citations

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

Fields of papers citing papers by Masako Doi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masako Doi

This figure shows the co-authorship network connecting the top 25 collaborators of Masako Doi. A scholar is included among the top collaborators of Masako Doi 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 Masako Doi. Masako Doi 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.
Fujita, Yasutaka, et al.. (2020). A pair of cell preservation solutions for therapy with human adipose tissue-derived mesenchymal stromal cells. Regenerative Therapy. 14. 95–102. 12 indexed citations
2.
Tanihara, Fuminori, Maki Hirata, Nhien Thi Nguyen, et al.. (2020). Efficient generation of GGTA1-deficient pigs by electroporation of the CRISPR/Cas9 system into in vitro-fertilized zygotes. BMC Biotechnology. 20(1). 40–40. 32 indexed citations
3.
Tsukamoto, Katsura, et al.. (2018). Future Perspectives for the Treatment of Diabetes: Importance of a Regulatory Framework. Therapeutic Innovation & Regulatory Science. 53(4). 535–541.
4.
Matsumoto, Shinichi, P. L. J. Tan, John Baker, et al.. (2014). Clinical Porcine Islet Xenotransplantation Under Comprehensive Regulation. Transplantation Proceedings. 46(6). 1992–1995. 108 indexed citations
5.
Masuda, Shigeo, Takashi Yokoo, N. Sugimoto, et al.. (2012). A Simplified in Vitro Teratoma Assay for Pluripotent Stem Cells Injected into Rodent Fetal Organs. PubMed. 3(1-3). 103–112. 10 indexed citations
6.
Watanabe, Hiroko, et al.. (2010). Risk factors for term small for gestational age infants in women with low prepregnancy body mass index. Journal of obstetrics and gynaecology research. 36(3). 506–512. 31 indexed citations
7.
Yamaoka, Ippei, et al.. (2009). Circadian Changes in Core Body Temperature, Metabolic Rate and Locomotor Activity in Rats on a High-Protein, Carbohydrate-Free Diet. Journal of Nutritional Science and Vitaminology. 55(6). 511–517. 7 indexed citations
8.
Yamaoka, Ippei, Masako Doi, Yuichi Kawano, et al.. (2009). Insulin mediates the linkage acceleration of muscle protein synthesis, thermogenesis, and heat storage by amino acids. Biochemical and Biophysical Research Communications. 386(1). 252–256. 11 indexed citations
9.
Yoshizawa, Fumiaki, Shinji Mochizuki, Masako Doi, Ippei Yamaoka, & Kunio Sugahara. (2009). Ethionine-Induced ATP Depletion Represses mTOR Signaling in the Absence of Increases in AMP-Activated Protein Kinase Activity in the Rat Liver. Bioscience Biotechnology and Biochemistry. 73(9). 1984–1988. 1 indexed citations
10.
Yamaoka, Ippei, et al.. (2008). Enhancement of Myofibrillar Proteolysis Following Infusion of Amino Acid Mixture Correlates Positively with Elevation of Core Body Temperature in Rats. Journal of Nutritional Science and Vitaminology. 54(6). 467–474. 10 indexed citations
11.
Yamaoka, Ippei, Masako Doi, Yuichi Kawano, et al.. (2008). Glucose Infusion Suppresses Surgery-induced Muscle Protein Breakdown by Inhibiting Ubiquitin-proteasome Pathway in Rats. Anesthesiology. 110(1). 81–88. 33 indexed citations
12.
Doi, Masako, Ippei Yamaoka, Mitsuo Nakayama, Kunio Sugahara, & Fumiaki Yoshizawa. (2007). Hypoglycemic effect of isoleucine involves increased muscle glucose uptake and whole body glucose oxidation and decreased hepatic gluconeogenesis. American Journal of Physiology-Endocrinology and Metabolism. 292(6). E1683–E1693. 122 indexed citations
13.
Doi, Masako, Ippei Yamaoka, Yuichi Kawano, et al.. (2007). Hypoglycemic effect of isoleucine involves increased muscle glucose uptake and whole body glucose oxidation, and decreased hepatic gluconeogenesis. The FASEB Journal. 21(6). 3 indexed citations
14.
15.
Yamaoka, Ippei, Masako Doi, Mitsuo Nakayama, et al.. (2005). Intravenous administration of amino acids during anesthesia stimulates muscle protein synthesis and heat accumulation in the body. American Journal of Physiology-Endocrinology and Metabolism. 290(5). E882–E888. 31 indexed citations
16.
Doi, Masako, Ippei Yamaoka, Mitsuo Nakayama, et al.. (2005). Isoleucine, a Blood Glucose-Lowering Amino Acid, Increases Glucose Uptake in Rat Skeletal Muscle in the Absence of Increases in AMP-Activated Protein Kinase Activity. Journal of Nutrition. 135(9). 2103–2108. 112 indexed citations
17.
Doi, Masako, Ippei Yamaoka, Tetsuya Fukunaga, & Mitsuo Nakayama. (2003). Isoleucine, a potent plasma glucose-lowering amino acid, stimulates glucose uptake in C2C12 myotubes. Biochemical and Biophysical Research Communications. 312(4). 1111–1117. 127 indexed citations
18.
19.
Onosaka, Satomi, et al.. (1978). A simplified procedure for determination of metallothionein in animal tissues. Eisei kagaku. 24(3). 128–131. 201 indexed citations
20.
Tanaka, Kéiichi, et al.. (1977). Substitution of Zinc Bound to Metallothionein for Cadmium in Vitro and in Vivo. Eisei kagaku. 23(4). 229–234. 10 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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