Mao Shibata
- Physiology top 10%
- Psychiatry and Mental health top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Public Health, Environmental and Occupational Health top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Toshiharu NinomiyaJun HataTakanari KitazonoDaigo YoshidaTakanori HondaTomoyuki OharaYoichiro HirakawaSatoko Sakata
- Topics
- Dementia and Cognitive Impairment Research (10 papers)Nutritional Studies and Diet (8 papers)Neurological Disease Mechanisms and Treatments (7 papers)
- Journals
- CirculationSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Mao Shibata
68 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 113
- Physiology 363
- Psychiatry and Mental health 260
- Cardiology and Cardiovascular Medicine 228
- Public Health, Environmental and Occupational Health 176
- Endocrinology, Diabetes and Metabolism 151
Countries citing papers authored by Mao Shibata
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 11 | |
| 10 | 50 | |
| 11 | 14 | |
| 12 | 3 | |
| 13 | 24 | |
| 14 | 18 | |
| 15 | 41 | |
| 16 | 15 | |
| 17 | 27 | |
| 18 | 17 | |
| 19 | 20 | |
| 20 | 37 |
About Mao Shibata
Mao Shibata is a scholar working on Psychiatry and Mental health, Neurology and Geriatrics and Gerontology, having authored 73 papers that have together received 1.3k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (10 papers), Nutritional Studies and Diet (8 papers) and Neurological Disease Mechanisms and Treatments (7 papers). The work is most often cited by research in Psychiatry and Mental health (260 citations), Geriatrics and Gerontology (62 citations) and Physiology (363 citations). Mao Shibata has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Toshiharu Ninomiya, Jun Hata, Takanari Kitazono, Daigo Yoshida, Takanori Honda, Tomoyuki Ohara, Yoichiro Hirakawa, Satoko Sakata, Yutaka Kiyohara and Yoshihiko Furuta. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and PLoS ONE.
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.