Ayaka Tsuboi
Impact in
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- Diabetes, Cardiovascular Risks, and Lipoproteins
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- Chronic Kidney Disease and Diabetes
Papers in
- Epidemiology 16
- Adipokines, Inflammation, and Metabolic Diseases 12
- Liver Disease Diagnosis and Treatment 3
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- Chronic Kidney Disease and Diabetes 4
- Co-authors
- Tsutomu Kazumi (40 shared papers)Keisuke Fukuo (40 shared papers)Miki Kurata (30 shared papers)Mika Takeuchi (25 shared papers)Kaori Kitaoka (18 shared papers)Mayu Watanabe (3 shared papers)Bin Wu (9 shared papers)Hideto Ito (4 shared papers)
In The Last Decade
Ayaka Tsuboi
48 papers receiving 367 citations
Peers
Comparison fields: 5 of 65
- Endocrinology, Diabetes and Metabolism 68
- Nephrology 25
- Physiology 72
- Epidemiology 81
- Nutrition and Dietetics 30
Countries citing papers authored by Ayaka Tsuboi
This map shows the geographic impact of Ayaka Tsuboi'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 Ayaka Tsuboi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayaka Tsuboi more than expected).
Fields of papers citing papers by Ayaka Tsuboi
This network shows the impact of papers produced by Ayaka Tsuboi. 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 Ayaka Tsuboi. The network helps show where Ayaka Tsuboi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ayaka Tsuboi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 29 | |
| 2 | 2017 | 23 | |
| 3 | 2014 | 21 | |
| 4 | 2017 | 19 | |
| 5 | 2015 | 16 | |
| 6 | 2018 | 15 | |
| 7 | 2013 | 14 | |
| 8 | 2017 | 13 | |
| 9 | 2014 | 13 | |
| 10 | 2015 | 13 | |
| 11 | 2016 | 13 | |
| 12 | 2017 | 12 | |
| 13 | 2020 | 12 | |
| 14 | 2015 | 11 | |
| 15 | 2013 | 11 | |
| 16 | 2015 | 9 | |
| 17 | 2022 | 8 | |
| 18 | 2016 | 8 | |
| 19 | 2016 | 8 | |
| 20 | 2015 | 8 |
About Ayaka Tsuboi
Ayaka Tsuboi is a scholar working on Epidemiology, Nephrology, Pediatrics, Perinatology and Child Health, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 48 papers that have together received 370 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (12 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Chronic Kidney Disease and Diabetes (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Cardiovascular Health and Disease Prevention (3 papers), Birth, Development, and Health (3 papers), Diabetes Management and Research (2 papers) and Obesity, Physical Activity, Diet (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (68 citations), Nephrology (25 citations), Physiology (72 citations), Epidemiology (81 citations) and Nutrition and Dietetics (30 citations). Ayaka Tsuboi has collaborated with scholars based in Japan, China and Belgium. Frequent co-authors include Tsutomu Kazumi, Keisuke Fukuo, Miki Kurata, Mika Takeuchi, Kaori Kitaoka, Mayu Watanabe, Bin Wu, Hideto Ito, Kazuhito Mita and Takashi Hayashi. Their work appears in journals such as BMJ Open Diabetes Research & Care, Metabolic Syndrome and Related Disorders, Journal of Atherosclerosis and Thrombosis, Scientific Reports and International Journal of Environmental Research and Public Health.
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.