Yasuhiro Matsubayashi
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- Diabetes Treatment and Management 19
- Diabetes, Cardiovascular Risks, and Lipoproteins 10
- Diabetes Management and Research 8
- Diet, Metabolism, and Disease 6
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- Blood Pressure and Hypertension Studies 7
- Cardiovascular Function and Risk Factors 6
- Health Information Management top 10%
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- Metabolism, Diabetes, and Cancer 8
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- Liver Disease Diagnosis and Treatment 6
- Co-authors
- Hirohito SoneKazuya FujiharaSatoru KodamaMasahiko YamamotoMAYUKO H. YAMADAMasaru KitazawaTakaho YamadaShiro Tanaka
- Cited by
- Endocrinology, Diabetes and MetabolismFamily PracticeCardiology and Cardiovascular Medicine
- Journals
- The Journal of Clinical Endocrinology & Metabolism (3 papers)Diabetes Care (1 paper)Diabetes (6 papers)
- Partner nations
- JapanUnited StatesBangladesh
In The Last Decade
Yasuhiro Matsubayashi
52 papers receiving 546 citations
Peers
Comparison fields: 5 of 91
- Endocrinology, Diabetes and Metabolism 261
- Family Practice 17
- Cardiology and Cardiovascular Medicine 140
- Health Information Management 28
- Health Informatics 8
Countries citing papers authored by Yasuhiro Matsubayashi
This map shows the geographic impact of Yasuhiro Matsubayashi'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 Yasuhiro Matsubayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasuhiro Matsubayashi more than expected).
Fields of papers citing papers by Yasuhiro Matsubayashi
This network shows the impact of papers produced by Yasuhiro Matsubayashi. 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 Yasuhiro Matsubayashi. The network helps show where Yasuhiro Matsubayashi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yasuhiro Matsubayashi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 6 | |
| 7 | 2022 | 1 | |
| 8 | 2022 | 21 | |
| 9 | 2021 | 11 | |
| 10 | 2021 | 34 | |
| 11 | 2021 | 3 | |
| 12 | 2021 | 10 | |
| 13 | 2021 | 7 | |
| 14 | 2020 | 14 | |
| 15 | 2020 | 4 | |
| 16 | 2020 | 2 | |
| 17 | 2020 | 5 | |
| 18 | 2018 | 11 | |
| 19 | 2018 | 3 | |
| 20 | 2016 | 2 |
About Yasuhiro Matsubayashi
Yasuhiro Matsubayashi is a scholar working on Endocrinology, Diabetes and Metabolism, Geriatrics and Gerontology and Family Practice, having authored 56 papers that have together received 554 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (19 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers), Diabetes Management and Research (8 papers), Metabolism, Diabetes, and Cancer (8 papers), Blood Pressure and Hypertension Studies (7 papers), Cardiovascular Function and Risk Factors (6 papers), Liver Disease Diagnosis and Treatment (6 papers) and Diet, Metabolism, and Disease (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (261 citations), Family Practice (17 citations) and Cardiology and Cardiovascular Medicine (140 citations). Yasuhiro Matsubayashi has collaborated with scholars based in Japan, United States and Bangladesh. Frequent co-authors include Hirohito Sone, Kazuya Fujihara, Satoru Kodama, Masahiko Yamamoto, MAYUKO H. YAMADA, Masaru Kitazawa, Takaho Yamada, Shiro Tanaka, Masanori Kaneko and Chika Horikawa. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes Care and Diabetes.
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.