Mayu Uemura

942 total citations
29 papers, 690 citations indexed

About

Mayu Uemura is a scholar working on Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism and Physiology. According to data from OpenAlex, Mayu Uemura has authored 29 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Public Health, Environmental and Occupational Health, 8 papers in Endocrinology, Diabetes and Metabolism and 8 papers in Physiology. Recurrent topics in Mayu Uemura's work include Obesity, Physical Activity, Diet (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Diet and metabolism studies (3 papers). Mayu Uemura is often cited by papers focused on Obesity, Physical Activity, Diet (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Diet and metabolism studies (3 papers). Mayu Uemura collaborates with scholars based in Japan, Ethiopia and Australia. Mayu Uemura's co-authors include Atsuko Aoyama, Hiroshi Yatsuya, Chifa Chiang, Yuanying Li, Chaochen Wang, Koji Tamakoshi, Esayas Haregot Hilawe, Atsuhiko Ota, Hideaki Toyoshima and Yan Zhang and has published in prestigious journals such as Physical Chemistry Chemical Physics, International Journal of Epidemiology and Nutrients.

In The Last Decade

Mayu Uemura

28 papers receiving 670 citations

Peers

Mayu Uemura
Yanping Teng United States
Marty S. Player United States
Caroline Dale United Kingdom
Jason Clark United States
Garrett Strizich United States
Yanping Teng United States
Mayu Uemura
Citations per year, relative to Mayu Uemura Mayu Uemura (= 1×) peers Yanping Teng

Countries citing papers authored by Mayu Uemura

Since Specialization
Citations

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

Fields of papers citing papers by Mayu Uemura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayu Uemura

This figure shows the co-authorship network connecting the top 25 collaborators of Mayu Uemura. A scholar is included among the top collaborators of Mayu Uemura 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 Mayu Uemura. Mayu Uemura 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.
Uemura, Mayu, Akitaka Matsuda, Tōru Morishita, et al.. (2022). Helicity-dependent dissociative tunneling ionization of CF4 in multicycle circularly polarized intense laser fields. Physical Chemistry Chemical Physics. 24(15). 8962–8969. 5 indexed citations
2.
Kawamura, Ichiro & Mayu Uemura. (2022). Measurement of the Rate of De-escalation in the Eevaluation of Antimicrobial Stewardship Programs. Iryo Yakugaku (Japanese Journal of Pharmaceutical Health Care and Sciences). 48(1). 1–8.
3.
Li, Yuanying, Hiroshi Yatsuya, Chaochen Wang, et al.. (2022). Dietary Patterns Derived from Reduced Rank Regression Are Associated with the 5-Year Occurrence of Metabolic Syndrome: Aichi Workers’ Cohort Study. Nutrients. 14(15). 3019–3019. 4 indexed citations
4.
Uemura, Mayu, Tetsuya Ohira, Seiji Yasumura, et al.. (2021). Association Between Lifestyle Habits and the Prevalence of Abdominal Obesity After the Great East Japan Earthquake: The Fukushima Health Management Survey. Journal of Epidemiology. 32(11). 496–501. 8 indexed citations
5.
Li, Yuanying, Hiroshi Yatsuya, Tomoya Hanibuchi, et al.. (2020). Positive Association of Physical Activity with Both Objective and Perceived Measures of the Neighborhood Environment among Older Adults: The Aichi Workers’ Cohort Study. International Journal of Environmental Research and Public Health. 17(21). 7971–7971. 5 indexed citations
6.
Hirakawa, Yoshihisa, Chifa Chiang, Mayu Uemura, & Atsuko Aoyama. (2019). Health-related behavior of the people who neglect the specific health guidance for metabolic syndrome control.. PubMed. 81(2). 199–205. 2 indexed citations
7.
Uemura, Mayu, Fumikazu Hayashi, Ken Ishioka, et al.. (2018). Obesity and mental health improvement following nutritional education focusing on gut microbiota composition in Japanese women: a randomised controlled trial. European Journal of Nutrition. 58(8). 3291–3302. 34 indexed citations
8.
Hirakawa, Yoshihisa, Chifa Chiang, Mayu Uemura, & Atsuko Aoyama. (2018). Involvement of Japanese Care Managers and Social Workers in Advance Care Planning. Journal of Social Work in End-of-Life & Palliative Care. 14(4). 315–327. 9 indexed citations
9.
Li, Yuanying, Hiroshi Yatsuya, Tomoya Hanibuchi, et al.. (2018). The association between objective measures of residence and worksite neighborhood environment, and self-reported leisure-time physical activities: The Aichi Workers' Cohort Study. Preventive Medicine Reports. 11. 282–289. 11 indexed citations
10.
Kaneko, Kayo, Hiroshi Yatsuya, Yuanying Li, et al.. (2018). Association of gamma‐glutamyl transferase and alanine aminotransferase with type 2 diabetes mellitus incidence in middle‐aged Japanese men: 12‐year follow up. Journal of Diabetes Investigation. 10(3). 837–845. 28 indexed citations
11.
Hirakawa, Yoshihisa, Mayu Uemura, Chifa Chiang, & Atsuko Aoyama. (2018). Popular social media as a tool for enhancing community-based end-of-life care education for healthcare professionals: a formative study. Educational Gerontology. 44(4). 211–219. 1 indexed citations
13.
Hirosaki, Mayumi, Tetsuya Ohira, Seiji Yasumura, et al.. (2017). Lifestyle factors and social ties associated with the frequency of laughter after the Great East Japan Earthquake: Fukushima Health Management Survey. Quality of Life Research. 27(3). 639–650. 21 indexed citations
14.
16.
Hilawe, Esayas Haregot, Hiroshi Yatsuya, Yuanying Li, et al.. (2014). Smoking and Diabetes: Is the Association Mediated by Adiponectin, Leptin, or C-reactive Protein?. Journal of Epidemiology. 25(2). 99–109. 36 indexed citations
17.
Yatsuya, Hiroshi, Yuanying Li, Esayas Haregot Hilawe, et al.. (2014). Global Trend in Overweight and Obesity and Its Association With Cardiovascular Disease Incidence. Circulation Journal. 78(12). 2807–2818. 179 indexed citations
18.
Tanaka, Eizaburo, Hiroshi Yatsuya, Mayu Uemura, et al.. (2013). Associations of Protein, Fat, and Carbohydrate Intakes With Insomnia Symptoms Among Middle-aged Japanese Workers. Journal of Epidemiology. 23(2). 132–138. 81 indexed citations
19.
Yatsuya, Hiroshi, Takashi Nihashi, Yuanying Li, et al.. (2013). Independent association of liver fat accumulation with insulin resistance. Obesity Research & Clinical Practice. 8(4). e350–e355. 16 indexed citations
20.
Suzuki, Tetsuya, Yutaka Yano, Masaki Sakamoto, et al.. (2012). Correlation of circulating dehydroepiandrosterone with activated protein C generation and carotid intima‐media thickness in male patients with Type 2 diabetes. Diabetic Medicine. 29(7). e41–6. 4 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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