Mieko Saito

552 total citations
20 papers, 352 citations indexed

About

Mieko Saito is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mieko Saito has authored 20 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Surgery and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mieko Saito's work include Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Lipoproteins and Cardiovascular Health (5 papers) and Cancer, Lipids, and Metabolism (4 papers). Mieko Saito is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Lipoproteins and Cardiovascular Health (5 papers) and Cancer, Lipids, and Metabolism (4 papers). Mieko Saito collaborates with scholars based in Japan, China and Belarus. Mieko Saito's co-authors include Masaaki Eto, Kohei Kaku, Masatoshi Kobayashi, Masafumi Matsuda, J. KIRIMURA, Fumiko Kawasaki, Michihiro Matsuki, Nobuaki Ohtake, Kenjiro Seki and Isao Makino and has published in prestigious journals such as Nature, Diabetes Care and Developmental Biology.

In The Last Decade

Mieko Saito

20 papers receiving 327 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mieko Saito Japan 11 111 94 74 63 54 20 352
Lifang Wang China 11 33 0.3× 48 0.5× 132 1.8× 27 0.4× 75 1.4× 42 473
Thomas D. Noland United States 15 77 0.7× 28 0.3× 282 3.8× 35 0.6× 20 0.4× 20 793
Samreen K. Syed United States 12 90 0.8× 97 1.0× 137 1.9× 36 0.6× 44 0.8× 15 494
İ. Alican Türkiye 10 28 0.3× 84 0.9× 101 1.4× 42 0.7× 11 0.2× 17 451
Arif Ul Hasan Japan 12 64 0.6× 62 0.7× 150 2.0× 12 0.2× 16 0.3× 30 405
S. F. Echtenkamp United States 9 46 0.4× 30 0.3× 99 1.3× 81 1.3× 42 0.8× 24 438
G. Perez Italy 11 122 1.1× 83 0.9× 118 1.6× 20 0.3× 3 0.1× 23 340
Brigitte Herzog Switzerland 11 48 0.4× 38 0.4× 154 2.1× 23 0.4× 10 0.2× 14 460
Joseph O. Olubadewo United States 9 124 1.1× 30 0.3× 164 2.2× 49 0.8× 4 0.1× 19 437
E. Bonetti Italy 9 143 1.3× 34 0.4× 240 3.2× 71 1.1× 92 1.7× 25 615

Countries citing papers authored by Mieko Saito

Since Specialization
Citations

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

Fields of papers citing papers by Mieko Saito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mieko Saito

This figure shows the co-authorship network connecting the top 25 collaborators of Mieko Saito. A scholar is included among the top collaborators of Mieko Saito 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 Mieko Saito. Mieko Saito 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.
Nagai, Akiko, Mani Kikuchi, Mieko Saito, et al.. (2022). The pentameric hydrocoel lobes organize adult pentameral structures in a sea cucumber, Apostichopus japonicus. Developmental Biology. 492. 71–78. 6 indexed citations
2.
Ohtake, Nobuaki, Mieko Saito, Masaaki Eto, & Kenjiro Seki. (2014). Exendin-4 promotes the membrane trafficking of the AMPA receptor GluR1 subunit and ADAM10 in the mouse neocortex. Regulatory Peptides. 190-191. 1–11. 35 indexed citations
3.
Ishihara, Kanako, et al.. (2014). Methicillin‐resistant Staphylococcus aureus carriage among veterinary staff and dogs in private veterinary clinics in Hokkaido, Japan. Microbiology and Immunology. 58(3). 149–154. 23 indexed citations
4.
Ishihara, Kanako, et al.. (2014). Epidemiological Analysis of Methicillin-Resistant Staphylococcus aureus Carriage among Veterinary Staff of Companion Animals in Japan. Journal of Veterinary Medical Science. 76(12). 1627–1629. 3 indexed citations
5.
Eto, Masaaki & Mieko Saito. (2013). [Familial type III hyperlipoproteinemia].. PubMed. 71(9). 1590–4. 3 indexed citations
6.
Yuasa‐Kawase, Miyako, Daisaku Masuda, Ryota Kawase, et al.. (2012). Apolipoprotein B-48 to Triglyceride Ratio Is a Novel and Useful Marker for Detection of Type III Hyperlipidemia after Antihyperlipidemic Intervention. Journal of Atherosclerosis and Thrombosis. 19(9). 862–871. 9 indexed citations
7.
Okubo, Minoru, Mieko Saito, Tetsu Ebara, et al.. (2007). A novel complex deletion–insertion mutation mediated by Alu repetitive elements leads to lipoprotein lipase deficiency. Molecular Genetics and Metabolism. 92(3). 229–233. 31 indexed citations
8.
Saito, Mieko, et al.. (2006). Plasma lipid levels and nutritional intake in childhood- and adolescence-onset young type 1 diabetic patients in Japan. Diabetes Research and Clinical Practice. 73(1). 29–34. 6 indexed citations
9.
Saito, Mieko, Masaaki Eto, Yukiko Kanda, et al.. (2004). Effect of Apolipoprotein E4 Allele on Plasma LDL Cholesterol Response to Diet Therapy in Type 2 Diabetic Patients. Diabetes Care. 27(6). 1276–1280. 21 indexed citations
10.
Saito, Mieko, Masaaki Eto, & Kohei Kaku. (2002). Remnant-like lipoprotein particles in type 2 diabetic patients with apolipoprotein E3/3 and apolipoprotein E2 genotypes. Metabolism. 51(8). 964–969. 6 indexed citations
11.
Eto, Masaaki, Mieko Saito, Fumiko Kawasaki, et al.. (2002). Apolipoprotein E genetic polymorphism, remnant lipoproteins, and nephropathy in type 2 diabetic patients. American Journal of Kidney Diseases. 40(2). 243–251. 75 indexed citations
12.
Matsuda, Masafumi, Fumiko Kawasaki, Yoshiki Mikami, et al.. (2002). Rescue of beta-cell exhaustion by diazoxide after the development of diabetes mellitus in rats with streptozotocin-induced diabetes. European Journal of Pharmacology. 453(1). 141–148. 19 indexed citations
13.
14.
Saito, Hayato, et al.. (1997). Priming of Anesthesia Circuit with Xenon for Closed Circuit Anesthesia. Artificial Organs. 21(1). 70–72. 21 indexed citations
15.
Saito, Mieko, Masaaki Eto, & Isao Makino. (1997). Triglyceride-rich lipoproteins from apolipoprotein E3/2 subjects with hypertriglyceridemia enhance cholesteryl ester synthesis in human macrophages. Atherosclerosis. 129(1). 73–77. 10 indexed citations
16.
Nunomura, Akihiko, et al.. (1996). Apolipoprotein E polymorphism and susceptibility to early- and late-onset sporadic Alzheimer's disease in Hokkaido, the northern part of Japan. Neuroscience Letters. 206(1). 17–20. 22 indexed citations
17.
Saito, Mieko, Masayoshi YAMAZAKI, Masanori Shimizu, & Nobuo Ikekawa. (1963). Studies on the Sterol of Bombyx mori L.. Agricultural and Biological Chemistry. 27(8). 572–575. 11 indexed citations
18.
Saito, Mieko, Masayoshi YAMAZAKI, & Masatoshi Kobayashi. (1963). Steroid Biosynthesis in the Silkworm. Nature. 198(4887). 1324–1324. 7 indexed citations
19.
Kobayashi, Masatoshi, J. KIRIMURA, & Mieko Saito. (1962). Crystallization of the ‘Brain’ Hormone of an Insect. Nature. 195(4840). 515–516. 15 indexed citations
20.
KIRIMURA, J., Mieko Saito, & Masatoshi Kobayashi. (1962). Steroid Hormone in an Insect, Bombyx mori. Nature. 195(4842). 729–730. 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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