Mako Nagayoshi

1.6k total citations
71 papers, 1.1k citations indexed

About

Mako Nagayoshi is a scholar working on Cardiology and Cardiovascular Medicine, Physiology and Epidemiology. According to data from OpenAlex, Mako Nagayoshi has authored 71 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cardiology and Cardiovascular Medicine, 23 papers in Physiology and 11 papers in Epidemiology. Recurrent topics in Mako Nagayoshi's work include Nutrition and Health in Aging (13 papers), Cardiovascular Health and Disease Prevention (13 papers) and Adipokines, Inflammation, and Metabolic Diseases (9 papers). Mako Nagayoshi is often cited by papers focused on Nutrition and Health in Aging (13 papers), Cardiovascular Health and Disease Prevention (13 papers) and Adipokines, Inflammation, and Metabolic Diseases (9 papers). Mako Nagayoshi collaborates with scholars based in Japan, United States and United Kingdom. Mako Nagayoshi's co-authors include Takahiro Maeda, Yūji Shimizu, Hirotomo Yamanashi, Jun Koyamatsu, Koichiro Kadota, Hiroyasu Iso, Pamela L. Lutsey, Shimpei Sato, Eyal Shahar and Shin‐ya Kawashiri and has published in prestigious journals such as Circulation, Clinical Infectious Diseases and Stroke.

In The Last Decade

Mako Nagayoshi

64 papers receiving 1.1k citations

Peers

Mako Nagayoshi
Beeya Na United States
Claire Carette France
Raoul Rooman Belgium
Xiuying Qi China
Ya Li Jin China
Seiko Takefuji Japan
Jieyun Yin China
Domingo González‐Lamuño Spain
Satoyo Ikehara Japan
Beeya Na United States
Mako Nagayoshi
Citations per year, relative to Mako Nagayoshi Mako Nagayoshi (= 1×) peers Beeya Na

Countries citing papers authored by Mako Nagayoshi

Since Specialization
Citations

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

Fields of papers citing papers by Mako Nagayoshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mako Nagayoshi

This figure shows the co-authorship network connecting the top 25 collaborators of Mako Nagayoshi. A scholar is included among the top collaborators of Mako Nagayoshi 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 Mako Nagayoshi. Mako Nagayoshi 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.
Ichikawa, Takahiro, Hiroshi Okada, Masahide Hamaguchi, et al.. (2025). Association of sex hormone-binding globulin and dyslipidemia with Japanese postmenopausal women: a cross-sectional study. Lipids in Health and Disease. 24(1). 212–212.
2.
Nagayoshi, Mako, Mami Tamai, Kenji Takeuchi, et al.. (2025). Frequency of Conversation, Laughter and Other Vocalising Opportunities in Daily Life and Maximum Tongue Pressure: The Goto Longevity Study. Journal of Oral Rehabilitation. 52(9). 1288–1296.
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Matsunaga, Takashi, Kenji Wakai, Nahomi Imaeda, et al.. (2024). Food group intakes and high-sensitivity C-reactive protein among community-dwelling Japanese adults: a cross-sectional study. Public Health Nutrition. 27(1). e212–e212.
6.
Nagayoshi, Mako, Yuko Kachi, Tsuguhiko Kato, et al.. (2024). Paternal Involvement in Childcare and Housework and Mothers’ Spanking Behavior: The Japanese Longitudinal Survey of Newborns in the 21st Century. Journal of Epidemiology. 34(12). 577–586.
7.
Suzuki, Mochihito, Toshihisa Kojima, Kenya Terabe, et al.. (2024). Association between laughter, frailty, and depression in rheumatoid arthritis patients. International Journal of Rheumatic Diseases. 27(1). e15034–e15034. 5 indexed citations
8.
Yoshida, Mitsuyoshi, Kazuhiro Tsuga, M. Emi, et al.. (2024). Association between dysphagia risk and sleep quality in community-dwelling older adults: A cross-sectional study. Heliyon. 10(11). e32028–e32028. 1 indexed citations
9.
Dhungel, Bibha, Tsuguhiko Kato, Stuart Gilmour, et al.. (2023). Trajectories of fathers' childcare involvement and child behavioral outcomes. Pediatrics International. 65(1). e15682–e15682. 2 indexed citations
10.
Imaizumi, Takahiro, Shoichi Maruyama, Keitaro Tanaka, et al.. (2023). Association of kidney function with cancer incidence and its influence on cancer risk of smoking: The Japan Multi‐Institutional Collaborative Cohort Study. International Journal of Cancer. 153(4). 732–741. 4 indexed citations
11.
Maehara, Tomoko, Yuka Kadomatsu, Yoko Kubo, et al.. (2023). Association of daily physical activity and leisure-time exercise with dysphagia risk in community-dwelling older adults: a cross-sectional study. Scientific Reports. 13(1). 10893–10893. 5 indexed citations
12.
Tashiro, Kensuke, Sakiko Soutome, Madoka Funahara, et al.. (2021). The Relationship between Dental Findings and Tongue Pressure: A Survey of 745 Community-Dwelling Adults and Elderly Persons in Japan. Gerontology. 67(5). 517–524. 12 indexed citations
13.
Hirokawa, Kumi, Tetsuya Ohira, Masanori Nagao, et al.. (2021). Associations Between Occupational Status, Support at Work, and Salivary Cortisol Levels. International Journal of Behavioral Medicine. 29(3). 299–307. 5 indexed citations
14.
Kondo, Hideaki, et al.. (2020). Sarcopenia is associated with insomnia in Japanese older adults: a cross-sectional study of data from the Nagasaki Islands study. BMC Geriatrics. 20(1). 256–256. 13 indexed citations
15.
Shimizu, Yūji, Hirotomo Yamanashi, Yuko Noguchi, et al.. (2019). Short stature-related single-nucleotide polymorphism (SNP) activates endothelial repair activity in elderly Japanese. Environmental Health and Preventive Medicine. 24(1). 26–26. 7 indexed citations
16.
Yamanashi, Hirotomo, Yūji Shimizu, Jun Koyamatsu, et al.. (2017). Circulating CD34-Positive Cells Are Associated with Handgrip Strength in Japanese Older Men: The Nagasaki Islands Study.. PubMed. 6(1). 6–11. 9 indexed citations
17.
Shimizu, Yūji, Shimpei Sato, Yuko Noguchi, et al.. (2017). Impact of single nucleotide polymorphism on short stature and reduced tongue pressure among community-dwelling elderly Japanese participants: a cross-sectional study. Environmental Health and Preventive Medicine. 22(1). 62–62. 13 indexed citations
18.
Shimizu, Yūji, Hiroyuki Yoshimine, Mako Nagayoshi, et al.. (2016). Short stature is an inflammatory disadvantage among middle-aged Japanese men. Environmental Health and Preventive Medicine. 21(5). 361–367. 24 indexed citations
19.
Shimizu, Yūji, Shimpei Sato, Jun Koyamatsu, et al.. (2015). Circulating CD34-positive cells, glomerular filtration rate and triglycerides in relation to hypertension. Atherosclerosis. 243(1). 71–76. 21 indexed citations
20.
Nagayoshi, Mako, Takeshi Tanigawa, Kazumasa Yamagishi, et al.. (2012). Self-Reported Snoring Frequency and Incidence of Cardiovascular Disease: The Circulatory Risk in Communities Study (CIRCS). Journal of Epidemiology. 22(4). 295–301. 26 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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