Miki Kurata

482 total citations
56 papers, 366 citations indexed

About

Miki Kurata is a scholar working on Epidemiology, Physiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Miki Kurata has authored 56 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Epidemiology, 24 papers in Physiology and 23 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Miki Kurata's work include Adipokines, Inflammation, and Metabolic Diseases (18 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers) and Liver Disease Diagnosis and Treatment (10 papers). Miki Kurata is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (18 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers) and Liver Disease Diagnosis and Treatment (10 papers). Miki Kurata collaborates with scholars based in Japan, China and Netherlands. Miki Kurata's co-authors include Keisuke Fukuo, Tsutomu Kazumi, Ayaka Tsuboi, Mika Takeuchi, Kaori Kitaoka, Toshimasa Tsujinaka, Motohiro Hirao, Kazumasa Fujitani, Atsushi Takeno and Bin Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and World Journal of Surgery.

In The Last Decade

Miki Kurata

55 papers receiving 362 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miki Kurata Japan 12 157 123 109 74 68 56 366
José Luis Pérez Castrillón Spain 14 151 1.0× 75 0.6× 123 1.1× 47 0.6× 59 0.9× 42 457
Makoto Nara Japan 11 116 0.7× 117 1.0× 115 1.1× 47 0.6× 78 1.1× 23 364
Elvira Castro-Quintela Spain 6 81 0.5× 151 1.2× 89 0.8× 64 0.9× 92 1.4× 11 414
Hiromi Munakata Japan 9 78 0.5× 107 0.9× 73 0.7× 90 1.2× 42 0.6× 12 333
Eugenio Berlanga Spain 13 74 0.5× 72 0.6× 100 0.9× 78 1.1× 50 0.7× 27 433
Antonio Hernández Mijares Spain 12 161 1.0× 172 1.4× 75 0.7× 78 1.1× 129 1.9× 33 420
Şenol Coşkun Türkiye 11 93 0.6× 50 0.4× 94 0.9× 90 1.2× 109 1.6× 56 451
Toshitaka Muneyuki Japan 10 82 0.5× 108 0.9× 99 0.9× 116 1.6× 51 0.8× 15 407
Xiaoguang Wu China 12 72 0.5× 52 0.4× 92 0.8× 71 1.0× 114 1.7× 26 358
Peter Sabaka Slovakia 11 76 0.5× 53 0.4× 42 0.4× 90 1.2× 109 1.6× 40 367

Countries citing papers authored by Miki Kurata

Since Specialization
Citations

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

Fields of papers citing papers by Miki Kurata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miki Kurata

This figure shows the co-authorship network connecting the top 25 collaborators of Miki Kurata. A scholar is included among the top collaborators of Miki Kurata 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 Miki Kurata. Miki Kurata 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.
Takeuchi, Mika, Kaori Kitaoka, Miki Kurata, et al.. (2025). Low leg fat mass is associated with low insulin sensitivity, inflammatory markers, and β-cell dysfunction in non-obese Japanese people. Scientific Reports. 15(1). 21194–21194. 1 indexed citations
2.
3.
Takeuchi, Mika, Kaori Kitaoka, Miki Kurata, et al.. (2024). Associations of adipose insulin resistance index with leg (gluteofemoral) fat (inverse) and serum alanine aminotransferase (positive) in young Japanese women. SHILAP Revista de lepidopterología. 22. 100289–100289. 2 indexed citations
4.
Takeuchi, Mika, Kaori Kitaoka, Miki Kurata, et al.. (2023). Associations of alanine aminotransferase/aspartate aminotransferase with insulin resistance and β-cell function in women. Scientific Reports. 13(1). 7853–7853. 15 indexed citations
5.
Takeuchi, Mika, Kaori Kitaoka, Miki Kurata, et al.. (2023). Association between serum leptin concentrations and homeostasis model assessment-insulin resistance of 2.5 and higher in normal weight Japanese women. Scientific Reports. 13(1). 8217–8217. 3 indexed citations
6.
Takeuchi, Mika, Ayaka Tsuboi, Miki Kurata, et al.. (2022). Weight Trajectory Since Birth, Current Body Composition, Dietary Intake, and Glucose Tolerance in Young Underweight Japanese Women. Women s Health Reports. 3(1). 215–221. 7 indexed citations
7.
Tsuboi, Ayaka, Kaori Kitaoka, Mika Takeuchi, et al.. (2021). Association of family history of type 2 diabetes with blood pressure and resting heart rate in young normal weight Japanese women. Diabetology International. 13(1). 220–225. 1 indexed citations
8.
9.
Tsuboi, Ayaka, Kaori Kitaoka, Mika Takeuchi, et al.. (2019). Association of Age and Anemia With Adiponectin Serum Levels in Normal-Weight Japanese Women. Journal of Clinical Medicine Research. 11(5). 367–374. 3 indexed citations
10.
Kitaoka, Kaori, Mika Takeuchi, Ayaka Tsuboi, et al.. (2019). Associations of ABC (Hemoglobin A1c, Blood Pressure and Low-Density Lipoprotein Cholesterol) Goal Achievement With Chronic Kidney Disease in Type 2 Diabetic Patients With Preserved Kidney Function. Journal of Clinical Medicine Research. 11(12). 818–824. 3 indexed citations
11.
Takeuchi, Mika, Kaori Kitaoka, Ayaka Tsuboi, et al.. (2018). Higher Fasting and Postprandial Free Fatty Acid Levels Are Associated With Higher Muscle Insulin Resistance and Lower Insulin Secretion in Young Non-Obese Women. Journal of Clinical Medicine Research. 10(11). 822–829. 4 indexed citations
12.
Tsuboi, Ayaka, Mika Takeuchi, Kaori Kitaoka, et al.. (2018). Association of serum orosomucoid with 30-min plasma glucose and glucose excursion during oral glucose tolerance tests in non-obese young Japanese women. BMJ Open Diabetes Research & Care. 6(1). e000508–e000508. 15 indexed citations
13.
Kitaoka, Kaori, Mika Takeuchi, Ayaka Tsuboi, et al.. (2017). Increased Adipose and Muscle Insulin Sensitivity Without Changes in Serum Adiponectin in Young Female Collegiate Athletes. Metabolic Syndrome and Related Disorders. 15(5). 246–251. 23 indexed citations
14.
15.
Tsuboi, Ayaka, Mika Takeuchi, Kaori Kitaoka, et al.. (2017). Post-Prandial Plasma Glucose Less Than or Equal to 70 mg/dL Is Not Uncommon in Young Japanese Women. Journal of Clinical Medicine Research. 9(8). 680–686. 6 indexed citations
16.
17.
Takeuchi, Mika, Tomoko Kagawa, Hiroyoshi Nakatsuji, et al.. (2015). The impact of nutritional state on the duration of sputum positivity of <I>Mycobacterium tuberculosis</I>. The International Journal of Tuberculosis and Lung Disease. 19(11). 1369–1375. 5 indexed citations
18.
Tsuboi, Ayaka, et al.. (2015). Direct association of visit-to-visit HbA1c variation with annual decline in estimated glomerular filtration rate in patients with type 2 diabetes. Journal of Diabetes & Metabolic Disorders. 14(1). 69–69. 13 indexed citations
19.
Hayashi, Seiji, Mika Takeuchi, Katsuhisa Ogata, et al.. (2013). The impact of nutrition and glucose intolerance on the development of tuberculosis in Japan. The International Journal of Tuberculosis and Lung Disease. 18(1). 84–88. 14 indexed citations
20.
Tsujinaka, Toshimasa, Motohiro Hirao, Kazumasa Fujitani, et al.. (2007). Effect of Preoperative Immunonutrition on Body Composition in Patients Undergoing Abdominal Cancer Surgery. Surgery Today. 37(2). 118–121. 12 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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