Sayuko Kobes
- Genetics top 1%
- Genetic Associations and Epidemiology 26
- Nephrology top 2%
- Physiology top 5%
- Adipose Tissue and Metabolism 8
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- Pancreatic function and diabetes 17
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- Metabolism, Diabetes, and Cancer 9
- Epigenetics and DNA Methylation 9
- RNA modifications and cancer 8
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- Birth, Development, and Health 9
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- Obesity, Physical Activity, Diet 7
- Co-authors
- Robert L. HansonWilliam C. KnowlerLeslie J. BaierClifton BogardusRobert S. LindsayP. Antonio TataranniGiuseppina ImperatoreYunhua L. Muller
- Journals
- PLoS ONE (2 papers)The Journal of Clinical Endocrinology & Metabolism (2 papers)Diabetes Care (2 papers)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Sayuko Kobes
84 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 110
- Genetics 1.3k
- Endocrine and Autonomic Systems 289
- Endocrinology, Diabetes and Metabolism 620
- Nephrology 264
- Physiology 678
Countries citing papers authored by Sayuko Kobes
This map shows the geographic impact of Sayuko Kobes'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 Sayuko Kobes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sayuko Kobes more than expected).
Fields of papers citing papers by Sayuko Kobes
This network shows the impact of papers produced by Sayuko Kobes. 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 Sayuko Kobes. The network helps show where Sayuko Kobes may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sayuko Kobes, 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 | 2023 | 8 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 1 | |
| 4 | 2022 | 0 | |
| 5 | 2022 | 3 | |
| 6 | 2021 | 13 | |
| 7 | 2018 | 47 | |
| 8 | 2018 | 6 | |
| 9 | 2017 | 31 | |
| 10 | 2015 | 13 | |
| 11 | 2014 | 24 | |
| 12 | 2014 | 3 | |
| 13 | 2013 | 26 | |
| 14 | 2012 | 21 | |
| 15 | 2011 | 23 | |
| 16 | 2010 | 39 | |
| 17 | 2007 | 21 | |
| 18 | 2002 | 41 | |
| 19 | 2001 | 22 | |
| 20 | 2001 | 56 |
About Sayuko Kobes
Sayuko Kobes is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Endocrine and Autonomic Systems, having authored 86 papers that have together received 3.3k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (26 papers), Pancreatic function and diabetes (17 papers), Metabolism, Diabetes, and Cancer (9 papers), Epigenetics and DNA Methylation (9 papers), Birth, Development, and Health (9 papers), Adipose Tissue and Metabolism (8 papers), RNA modifications and cancer (8 papers) and Obesity, Physical Activity, Diet (7 papers). The work is most often cited by research in Genetics (1.3k citations), Endocrine and Autonomic Systems (289 citations) and Endocrinology, Diabetes and Metabolism (620 citations). Sayuko Kobes has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Robert L. Hanson, William C. Knowler, Leslie J. Baier, Clifton Bogardus, Robert S. Lindsay, P. Antonio Tataranni, Giuseppina Imperatore, Yunhua L. Muller, W C Knowler and Jonathan Krakoff. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.
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.