Mika Matsuzaki

1.3k total citations
40 papers, 750 citations indexed

About

Mika Matsuzaki is a scholar working on Public Health, Environmental and Occupational Health, Nutrition and Dietetics and General Health Professions. According to data from OpenAlex, Mika Matsuzaki has authored 40 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Public Health, Environmental and Occupational Health, 11 papers in Nutrition and Dietetics and 10 papers in General Health Professions. Recurrent topics in Mika Matsuzaki's work include Obesity, Physical Activity, Diet (21 papers), Nutritional Studies and Diet (10 papers) and Child Nutrition and Water Access (6 papers). Mika Matsuzaki is often cited by papers focused on Obesity, Physical Activity, Diet (21 papers), Nutritional Studies and Diet (10 papers) and Child Nutrition and Water Access (6 papers). Mika Matsuzaki collaborates with scholars based in United States, United Kingdom and India. Mika Matsuzaki's co-authors include Brendan D. Manning, Jingxiang Huang, Christian C. Dibble, Emma V. Sanchez‐Vaznaugh, Brisa N. Sánchez, Sanjay Kinra, Tilla S. Worgall, Bharati Kulkarni, Toru Seo and Richard J. Deckelbaum and has published in prestigious journals such as PLoS ONE, Molecular and Cellular Biology and American Journal of Clinical Nutrition.

In The Last Decade

Mika Matsuzaki

35 papers receiving 734 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mika Matsuzaki United States 12 310 178 143 97 72 40 750
Tuire Salonurmi Finland 18 264 0.9× 120 0.7× 99 0.7× 72 0.7× 28 0.4× 39 756
Su Chen China 15 519 1.7× 121 0.7× 188 1.3× 101 1.0× 68 0.9× 66 1.1k
Nathan Brand United States 15 300 1.0× 79 0.4× 146 1.0× 82 0.8× 41 0.6× 44 1.1k
Amy R. Bentley United States 17 346 1.1× 106 0.6× 180 1.3× 119 1.2× 22 0.3× 59 1.1k
Yamin Wang China 14 131 0.4× 97 0.5× 166 1.2× 55 0.6× 45 0.6× 53 707
Rebecca K. Kelly United Kingdom 15 121 0.4× 87 0.5× 215 1.5× 54 0.6× 46 0.6× 34 661
Rita McWilliams United States 12 237 0.8× 231 1.3× 180 1.3× 47 0.5× 29 0.4× 17 1.3k
Jorge Carvajal C Chile 16 207 0.7× 174 1.0× 215 1.5× 185 1.9× 73 1.0× 108 1.3k
Hyunjin Ryu South Korea 15 157 0.5× 71 0.4× 66 0.5× 58 0.6× 49 0.7× 58 704
Kathleen M. Buckley United States 12 449 1.4× 317 1.8× 105 0.7× 186 1.9× 40 0.6× 31 936

Countries citing papers authored by Mika Matsuzaki

Since Specialization
Citations

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

Fields of papers citing papers by Mika Matsuzaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mika Matsuzaki

This figure shows the co-authorship network connecting the top 25 collaborators of Mika Matsuzaki. A scholar is included among the top collaborators of Mika Matsuzaki 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 Mika Matsuzaki. Mika Matsuzaki 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.
Zhu, Yanxin, Vanessa García-Larsen, Sabri Bromage, et al.. (2025). Association Between Ultraprocessed Food Intake and Self-Reported Arthritis. American Journal of Preventive Medicine. 68(6). 1109–1119.
2.
Matsuzaki, Mika, et al.. (2025). Characterizing the Consumer Food Environment of Dollar Stores and Exploring Differences by Neighborhood Racial Composition. Journal of Nutrition Education and Behavior. 57(10). 972–979.
3.
Wallace, Amelia S., Mary R. Rooney, Dan Wang, et al.. (2025). Ultra‐processed food consumption among adults with prediabetes and diabetes, 2001‐2018. Diabetes Obesity and Metabolism. 27(7). 3840–3847.
4.
Gardner, Karen, et al.. (2025). Community Member Shopping Experiences in Dollar Store Food Environments in Baltimore, Maryland. Current Developments in Nutrition. 9(4). 104585–104585.
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Sanchez‐Vaznaugh, Emma V., et al.. (2024). Temporal Patterns in Fruit and Vegetable Intake Among Racially and Ethnically Diverse Children and Adolescents in California. Preventing Chronic Disease. 21. E09–E09. 1 indexed citations
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Sanchez‐Vaznaugh, Emma V., et al.. (2023). “Competitive” food and beverage policies and weight status: A systematic review of the evidence among sociodemographic subgroups. Obesity Reviews. 25(4). e13678–e13678. 2 indexed citations
9.
Matsuzaki, Mika, et al.. (2022). A Qualitative Study: Mothers’ Experience in the Management of Gestational Diabetes Mellitus during and after Pregnancy in Yogyakarta, Indonesia. Open Access Macedonian Journal of Medical Sciences. 10(T8). 180–187. 3 indexed citations
10.
Matsuzaki, Mika, et al.. (2021). Competitive Food and Beverage Policies and Obesity among Middle School Students: Variability by Urbanicity in California. Childhood Obesity. 18(1). 41–49. 5 indexed citations
11.
Birk, Nick, Mika Matsuzaki, Teresa T. Fung, et al.. (2021). Exploration of Machine Learning and Statistical Techniques in Development of a Low-Cost Screening Method Featuring the Global Diet Quality Score for Detecting Prediabetes in Rural India. Journal of Nutrition. 151(12 Suppl 2). 110S–118S. 14 indexed citations
12.
13.
Matsuzaki, Mika, Michelle Reid, Jorge R. Kizer, et al.. (2021). Sleep apnea, coronary artery calcium density, and cardiovascular events: results from the Multi-Ethnic Study of Atherosclerosis. Journal of Clinical Sleep Medicine. 17(10). 2075–2083. 6 indexed citations
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Mitchell, Carol, Claudia E. Korcarz, Adam D. Gepner, et al.. (2019). Carotid Artery Echolucency, Texture Features, and Incident Cardiovascular Disease Events: The MESA Study. Journal of the American Heart Association. 8(3). e010875–e010875. 21 indexed citations
17.
Matsuzaki, Mika, Vu Minh Quan, Marya Gwadz, et al.. (2018). Perceived access and barriers to care among illicit drug users and hazardous drinkers: findings from the Seek, Test, Treat, and Retain data harmonization initiative (STTR). BMC Public Health. 18(1). 366–366. 50 indexed citations
18.
Matsuzaki, Mika, Hannah Kuper, Bharati Kulkarni, et al.. (2015). Adolescent undernutrition and early adulthood bone mass in an urbanizing rural community in India. Archives of Osteoporosis. 10(1). 232–232. 7 indexed citations
19.
Kulkarni, Bharati, KV Radhakrishna, John Gregson, et al.. (2015). Is the Association between Vitamin D and Cardiovascular Disease Risk Confounded by Obesity? Evidence from the Andhra Pradesh Children and Parents Study (APCAPS). PLoS ONE. 10(6). e0129468–e0129468. 22 indexed citations
20.
Huang, Jingxiang, Christian C. Dibble, Mika Matsuzaki, & Brendan D. Manning. (2008). The TSC1-TSC2 Complex Is Required for Proper Activation of mTOR Complex 2. Molecular and Cellular Biology. 28(12). 4104–4115. 399 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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