Mao Shibata

2.0k total citations
73 papers, 1.3k citations indexed

About

Mao Shibata is a scholar working on Physiology, Psychiatry and Mental health and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Mao Shibata has authored 73 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Physiology, 17 papers in Psychiatry and Mental health and 13 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Mao Shibata's work include Dementia and Cognitive Impairment Research (10 papers), Nutritional Studies and Diet (8 papers) and Neurological Disease Mechanisms and Treatments (7 papers). Mao Shibata is often cited by papers focused on Dementia and Cognitive Impairment Research (10 papers), Nutritional Studies and Diet (8 papers) and Neurological Disease Mechanisms and Treatments (7 papers). Mao Shibata collaborates with scholars based in Japan, United States and Australia. Mao Shibata's co-authors include Toshiharu Ninomiya, Jun Hata, Takanari Kitazono, Daigo Yoshida, Takanori Honda, Tomoyuki Ohara, Yoichiro Hirakawa, Satoko Sakata, Yutaka Kiyohara and Yoshihiko Furuta and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Mao Shibata

68 papers receiving 1.3k citations

Peers

Mao Shibata
Marie Kim Wium‐Andersen Denmark
Takanori Honda Japan
Ángeles García Canada
Sarah A. Gaussoin United States
Ramit Ravona‐Springer Israel
Elżbieta Kuźma United Kingdom
Ajay K. Parsaik United States
Anna Dahl Sweden
Adina Zeki Al Hazzouri United States
Júlio César Moriguti Brazil
Marie Kim Wium‐Andersen Denmark
Mao Shibata
Citations per year, relative to Mao Shibata Mao Shibata (= 1×) peers Marie Kim Wium‐Andersen

Countries citing papers authored by Mao Shibata

Since Specialization
Citations

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

Fields of papers citing papers by Mao Shibata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mao Shibata

This figure shows the co-authorship network connecting the top 25 collaborators of Mao Shibata. A scholar is included among the top collaborators of Mao Shibata 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 Mao Shibata. Mao Shibata 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.
Sakata, Satoko, Emi Oishi, Takanori Honda, et al.. (2025). Transition of Metabolic Health Status and the Risk of Cardiovascular Diseases in a Japanese Population: the Hisayama Study. Journal of Atherosclerosis and Thrombosis. 32(8). 1038–1052. 1 indexed citations
2.
Nakamura, Yuri, Mao Shibata, Naoki Hirabayashi, et al.. (2025). Influence of chronic pain on regional brain volume reduction in a general older Japanese population: a longitudinal imaging analysis from the Hisayama Study. Brain Communications. 7(2). fcaf149–fcaf149.
3.
4.
Furuta, Yoshihiko, Masato Akiyama, Naoki Hirabayashi, et al.. (2024). Common protein-altering variant in GFAP is associated with white matter lesions in the older Japanese population. npj Genomic Medicine. 9(1). 59–59.
5.
Hirabayashi, Naoki, Jun Hata, Yoshihiko Furuta, et al.. (2024). Association Between Serum NT-proBNP and Gray Matter Atrophy Patterns in an Older Japanese Population: The Hisayama Study. The Journals of Gerontology Series A. 79(5). 1 indexed citations
6.
Hirabayashi, Naoki, Yoshihiko Furuta, Takanori Honda, et al.. (2024). Association of sarcopenia with regional brain atrophy and white matter lesions in a general older population: the Hisayama Study. GeroScience. 47(1). 1187–1198. 1 indexed citations
7.
Sakata, Satoko, Jun Hata, Emi Oishi, et al.. (2024). Day-to-day home blood pressure variability and risk of atrial fibrillation in a general Japanese population: the Hisayama Study. European Journal of Preventive Cardiology. 31(9). 1115–1122. 3 indexed citations
8.
Hirakawa, Yoichiro, Jun Hata, Takanori Honda, et al.. (2023). Serum Mac-2 Binding Protein Glycosylation Isomer Concentrations Are Associated With Incidence of Type 2 Diabetes. The Journal of Clinical Endocrinology & Metabolism. 108(7). e425–e433. 5 indexed citations
9.
Shibata, Mao, Naoki Hirabayashi, Tomoyuki Ohara, et al.. (2022). Association between chronic low back pain and regional brain atrophy in a Japanese older population: the Hisayama Study. Pain. 163(11). 2185–2193. 11 indexed citations
10.
Washio, Yasuyoshi, Satoko Sakata, Satoru Fukuyama, et al.. (2022). Risks of Mortality and Airflow Limitation in Japanese Individuals with Preserved Ratio Impaired Spirometry. American Journal of Respiratory and Critical Care Medicine. 206(5). 563–572. 50 indexed citations
11.
Hirabayashi, Naoki, Jun Hata, Yoshihiko Furuta, et al.. (2022). Association Between Diabetes and Gray Matter Atrophy Patterns in a General Older Japanese Population: The Hisayama Study. Diabetes Care. 45(6). 1364–1371. 14 indexed citations
12.
Honda, Takanori, Yoichiro Hirakawa, Jun Hata, et al.. (2022). Active commuting, commuting modes and the risk of diabetes: 14‐year follow‐up data from the Hisayama study. Journal of Diabetes Investigation. 13(10). 1677–1684. 3 indexed citations
13.
Kimura, Yasumi, Daigo Yoshida, Tomoyuki Ohara, et al.. (2022). Long-term association of vegetable and fruit intake with risk of dementia in Japanese older adults: the Hisayama study. BMC Geriatrics. 22(1). 257–257. 24 indexed citations
14.
Sakata, Satoko, Takanori Honda, Jun Hata, et al.. (2020). The Association of Small Dense Low-Density Lipoprotein Cholesterol and Coronary Heart Disease in Subjects at High Cardiovascular Risk. Journal of Atherosclerosis and Thrombosis. 28(1). 79–89. 18 indexed citations
15.
Yoshida, Daigo, Takanori Honda, Jun Hata, et al.. (2020). Prevalence and Mortality of Sarcopenia in a Community-dwelling Older Japanese Population: The Hisayama Study. Journal of Epidemiology. 31(5). 320–327. 41 indexed citations
16.
Yoshida, Daigo, Tomoyuki Ohara, Jun Hata, et al.. (2019). Dairy consumption and risk of functional disability in an elderly Japanese population: the Hisayama Study. American Journal of Clinical Nutrition. 109(6). 1664–1671. 15 indexed citations
17.
Hata, Jun, Tomoyuki Ohara, Yoshinori Katakura, et al.. (2019). Association Between Serum β-Alanine and Risk of Dementia. American Journal of Epidemiology. 188(9). 1637–1645. 27 indexed citations
18.
Shibata, Mao, Tomoyuki Ohara, Daigo Yoshida, et al.. (2018). Association between the ratio of serum arachidonic acid to eicosapentaenoic acid and the presence of depressive symptoms in a general Japanese population: the Hisayama Study. Journal of Affective Disorders. 237. 73–79. 17 indexed citations
19.
Honda, Takanori, Daigo Yoshida, Jun Hata, et al.. (2018). Development and validation of modified risk prediction models for cardiovascular disease and its subtypes: The Hisayama Study. Atherosclerosis. 279. 38–44. 20 indexed citations
20.
Shibata, Mao, Toshiharu Ninomiya, Rie Iwaki, et al.. (2015). Paternal and maternal bonding styles in childhood are associated with the prevalence of chronic pain in a general adult population: the Hisayama Study. BMC Psychiatry. 15(1). 181–181. 37 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Marie Kim Wium‐Andersen Breakdown of academic impact, for papers by Takanori Honda Breakdown of academic impact, for papers by Ángeles García Breakdown of academic impact, for papers by Sarah A. Gaussoin Breakdown of academic impact, for papers by Ramit Ravona‐Springer Breakdown of academic impact, for papers by Elżbieta Kuźma Breakdown of academic impact, for papers by Ajay K. Parsaik Breakdown of academic impact, for papers by Anna Dahl Breakdown of academic impact, for papers by Adina Zeki Al Hazzouri Breakdown of academic impact, for papers by Júlio César Moriguti
Rankless by CCL
2026