Hinako Nanri

1.7k total citations
90 papers, 1.1k citations indexed

About

Hinako Nanri is a scholar working on Physiology, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, Hinako Nanri has authored 90 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Physiology, 39 papers in Public Health, Environmental and Occupational Health and 13 papers in Molecular Biology. Recurrent topics in Hinako Nanri's work include Nutritional Studies and Diet (25 papers), Obesity, Physical Activity, Diet (19 papers) and Nutrition and Health in Aging (18 papers). Hinako Nanri is often cited by papers focused on Nutritional Studies and Diet (25 papers), Obesity, Physical Activity, Diet (19 papers) and Nutrition and Health in Aging (18 papers). Hinako Nanri collaborates with scholars based in Japan, Italy and India. Hinako Nanri's co-authors include Megumi Hara, Yosuke Yamada, Keitaro Tanaka, Yasuki Higaki, Mikako Horita, Akatsuki Kokaze, Hirotaka Ochiai, Takako Shirasawa, Tsukasa Yoshida and Hiromi Hoshino and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Epidemiology.

In The Last Decade

Hinako Nanri

84 papers receiving 1.0k citations

Peers

Hinako Nanri
Hinako Nanri
Citations per year, relative to Hinako Nanri Hinako Nanri (= 1×) peers Kathryn N. Porter Starr

Countries citing papers authored by Hinako Nanri

Since Specialization
Citations

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

Fields of papers citing papers by Hinako Nanri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hinako Nanri

This figure shows the co-authorship network connecting the top 25 collaborators of Hinako Nanri. A scholar is included among the top collaborators of Hinako Nanri 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 Hinako Nanri. Hinako Nanri 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
2.
Nanri, Hinako, Megumi Hara, Yuichiro Nishida, et al.. (2024). Interaction between Habitual Green Tea and Coffee Consumption and ACTN3 Genotype in Association with Skeletal Muscle Mass and Strength in Middle-Aged and Older Adults. The Journal of Frailty & Aging. 13(3). 267–275. 3 indexed citations
3.
Watanabe, Daiki, Tsukasa Yoshida, Hinako Nanri, et al.. (2024). Determinant of factors associated with water requirement measured using the doubly labelled water method among older Japanese adults. Public Health Nutrition. 27(1). e177–e177. 2 indexed citations
4.
Nakagata, Takashi, Yosuke Yamada, Masashi Taniguchi, et al.. (2024). Comparison of step-count outcomes across seven different activity trackers: a free-living experiment with young and older adults. BMC Sports Science Medicine and Rehabilitation. 16(1). 156–156.
5.
Nanri, Hinako, Takashi Nakagata, Harumi Ohno, et al.. (2023). Association of skeletal muscle function, quantity, and quality with gut microbiota in Japanese adults: A cross‐sectional study. Geriatrics and gerontology international. 24(1). 53–60. 4 indexed citations
6.
Hatamoto, Yoichi, Takashi Nakagata, Hinako Nanri, et al.. (2023). Effects of energy loads on energy and nutrient absorption rates and gut microbiome in humans: A randomized crossover trial. Obesity. 32(2). 262–272. 4 indexed citations
7.
Park, Jonguk, Hiroshi Ueno, Naoki Ozato, et al.. (2023). Ramen Consumption and Gut Microbiota Diversity in Japanese Women: Cross-Sectional Data from the NEXIS Cohort Study. Microorganisms. 11(8). 1892–1892. 4 indexed citations
8.
Yamada, Yosuke, Yuichiro Nishida, Megumi Hara, et al.. (2023). Association Between the Appendicular Extracellular-to-Intracellular Water Ratio and All-Cause Mortality: A 10-Year Longitudinal Study. The Journals of Gerontology Series A. 79(2). 5 indexed citations
9.
Nanri, Hinako, Megumi Hara, Yuichiro Nishida, et al.. (2023). The Association between Oxidative Balance Score and Urinary Levels of 8-Hydroxydeoxyguanosine among Japanese Adults. Nutrients. 15(21). 4533–4533. 5 indexed citations
10.
Nakagata, Takashi, Hinako Nanri, Daiki Watanabe, et al.. (2023). Association between physical activity and the prevalence of tumorigenic bacteria in the gut microbiota of Japanese adults: a cross-sectional study. Scientific Reports. 13(1). 20841–20841. 2 indexed citations
11.
Yamada, Yosuke, Yuichiro Nishida, Megumi Hara, et al.. (2023). Association of appendicular extracellular-to-intracellular water ratio with age, muscle strength, and physical activity in 8,018 community-dwelling middle-aged and older adults. Archives of Gerontology and Geriatrics. 108. 104931–104931. 10 indexed citations
12.
Sawane, Kento, Koji Hosomi, Jonguk Park, et al.. (2022). Identification of Human Gut Microbiome Associated with Enterolignan Production. Microorganisms. 10(11). 2169–2169. 11 indexed citations
13.
Shimanoe, Chisato, Akiko Matsumoto, Megumi Hara, et al.. (2020). Perceived stress, depressive symptoms, and cortisol-to-cortisone ratio in spot urine in 6878 older adults. Psychoneuroendocrinology. 125. 105125–105125. 9 indexed citations
14.
Ochiai, Hirotaka, Takako Shirasawa, Hinako Nanri, et al.. (2018). Relationship between Eating Quickly and Overweight : A Cohort Study of Schoolchildren in Japan.. PubMed. 72(2). 121–128. 12 indexed citations
15.
Ochiai, Hirotaka, Takako Shirasawa, Rimei Nishimura, et al.. (2014). Abdominal obesity and serum adiponectin complexes among population-based elementary school children in Japan: a cross-sectional study. BMC Pediatrics. 14(1). 81–81. 21 indexed citations
16.
Hara, Megumi, Kazuyo Nakamura, Hinako Nanri, et al.. (2014). Associations Between hOGG1 Ser326Cys Polymorphism and Increased Body Mass Index and Fasting Glucose Level in the Japanese General Population. Journal of Epidemiology. 24(5). 379–384. 7 indexed citations
17.
Nishida, Yuichiro, Yasuki Higaki, Naoto Taguchi, et al.. (2014). Objectively measured physical activity and inflammatory cytokine levels in middle-aged Japanese people. Preventive Medicine. 64. 81–87. 33 indexed citations
18.
Nanri, Hinako, Kazuyo Nakamura, Megumi Hara, et al.. (2011). Association Between Dietary Pattern and Serum C-Reactive Protein in Japanese Men and Women. Journal of Epidemiology. 21(2). 122–131. 52 indexed citations
19.
Hara, Megumi, Yasuki Higaki, Takeshi Imaizumi, et al.. (2010). Factors Influencing Participation Rate in a Baseline Survey of a Genetic Cohort in Japan. Journal of Epidemiology. 20(1). 40–45. 33 indexed citations
20.
Ogino, Chinkichi, et al.. (1980). Method for the determination of nitrogen retained in the fish body by the carcass analysis.. Bulletin of the Japanese Society of Scientific Fisheries. 46(1). 105–108. 11 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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