Kyoko Satō
- Endocrinology, Diabetes and Metabolism top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Epidemiology top 10%
- Surgery
- Physiology top 10%
- Co-authors
- Tomoshige HayashiGinji EndoHiroshi KambeNobuko HaritaYoshiko NakamuraTakeshi YonedaWilfred Y. FujimotoEdward J. Boyko
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers)Liver Disease Diagnosis and Treatment (11 papers)Alcohol Consumption and Health Effects (8 papers)
- Journals
- Diabetes CareDiabetesHypertension
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Kyoko Satō
61 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 145
- Endocrinology, Diabetes and Metabolism 370
- Cardiology and Cardiovascular Medicine 312
- Epidemiology 289
- Surgery 241
- Physiology 234
Countries citing papers authored by Kyoko Satō
This map shows the geographic impact of Kyoko Satō'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 Kyoko Satō with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyoko Satō more than expected).
Fields of papers citing papers by Kyoko Satō
This network shows the impact of papers produced by Kyoko Satō. 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 Kyoko Satō. The network helps show where Kyoko Satō may publish in the future.
Co-authorship network of co-authors of Kyoko Satō
This figure shows the co-authorship network connecting the top 25 collaborators of Kyoko Satō. A scholar is included among the top collaborators of Kyoko Satō 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 Kyoko Satō. Kyoko Satō 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 | 3 | |
| 3 | 10 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 28 | |
| 7 | Shared Cognitive–Emotional–Interactional Platforms: Markers and Conditions for Successful Interdisciplinary Collaborations | 9 |
| 8 | 28 | |
| 9 | 9 | |
| 10 | 44 | |
| 11 | 22 | |
| 12 | 3 | |
| 13 | 10 | |
| 14 | 84 | |
| 15 | 34 | |
| 16 | 24 | |
| 17 | 51 | |
| 18 | Meanings of genetically modified food and policy change and persistence : the cases of France, Japan and the United States | 5 |
| 19 | 25 | |
| 20 | LUNG CANCER AND ATOMIC BOMB EXPOSURE, HIROSHIMA--NAGASAKI, 1950--66. | 1 |
About Kyoko Satō
Kyoko Satō is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 66 papers that have together received 1.5k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers), Liver Disease Diagnosis and Treatment (11 papers) and Alcohol Consumption and Health Effects (8 papers). The work is most often cited by research in Nephrology (188 citations), Endocrinology, Diabetes and Metabolism (370 citations) and Cardiology and Cardiovascular Medicine (312 citations). Kyoko Satō has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Tomoshige Hayashi, Ginji Endo, Hiroshi Kambe, Nobuko Harita, Yoshiko Nakamura, Takeshi Yoneda, Wilfred Y. Fujimoto, Edward J. Boyko, Michèle Lamont and Verónica Boix Mansilla. Their work appears in journals such as Diabetes Care, Diabetes and Hypertension.
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.