Chie Ebato
Impact in
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- Diabetes Treatment and Management
- Diabetes Management and Research
- Physiology top 5%
- Calcium signaling and nucleotide metabolism
Papers in
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- Diabetes Treatment and Management 5
- Diabetes Management and Research 3
- Diabetes Management and Education 1
- Surgery 3
- Pancreatic function and diabetes 3
- Co-authors
- Masayuki Arakawa (7 shared papers)Ryuzo Kawamori (6 shared papers)Hirotaka Watada (6 shared papers)Yoshio Fujitani (5 shared papers)Takahisa Hirose (5 shared papers)Kosuke Azuma (2 shared papers)Tomoya Mita (4 shared papers)Masaaki Komatsu (1 shared paper)
In The Last Decade
Chie Ebato
9 papers receiving 1.3k citations
Chie Ebato's Hit Papers
Peers
Comparison fields: 5 of 73
- Endocrinology, Diabetes and Metabolism 467
- Physiology 81
- Epidemiology 508
- Pharmacology 172
- Surgery 401
Countries citing papers authored by Chie Ebato
This map shows the geographic impact of Chie Ebato'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 Chie Ebato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chie Ebato more than expected).
Fields of papers citing papers by Chie Ebato
This network shows the impact of papers produced by Chie Ebato. 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 Chie Ebato. The network helps show where Chie Ebato may publish in the future.
Co-authors
The 25 scholars most cited alongside Chie Ebato, 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 | Autophagy Is Important in Islet Homeostasis and Compensatory Increase of Beta Cell Mass in Response to High-Fat Diet Hit paper breakdown → | 2008 | 660 |
| 2 | Inhibition of Monocyte Adhesion to Endothelial Cells and Attenuation of Atherosclerotic Lesion by a Glucagon-like Peptide-1 Receptor Agonist, Exendin-4 Hit paper breakdown → | 2010 | 472 |
| 3 | 2008 | 64 | |
| 4 | 2009 | 56 | |
| 5 | 2009 | 7 | |
| 6 | 2012 | 5 | |
| 7 | 2015 | 2 | |
| 8 | 2009 | 2 | |
| 9 | 2013 | 2 |
About Chie Ebato
Chie Ebato is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Pharmacology and General Health Professions, having authored 9 papers that have together received 1.3k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (5 papers), Diabetes Management and Research (3 papers), Pancreatic function and diabetes (3 papers), Cannabis and Cannabinoid Research (1 paper), Diabetes and associated disorders (1 paper), Soil Carbon and Nitrogen Dynamics (1 paper), Autophagy in Disease and Therapy (1 paper) and Diabetes Management and Education (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (467 citations), Physiology (81 citations), Epidemiology (508 citations), Pharmacology (172 citations) and Surgery (401 citations). Chie Ebato has collaborated with scholars based in Japan and China. Frequent co-authors include Masayuki Arakawa, Ryuzo Kawamori, Hirotaka Watada, Yoshio Fujitani, Takahisa Hirose, Kosuke Azuma, Tomoya Mita, Masaaki Komatsu, Toyoyoshi Uchida and Takashi Ueno. Their work appears in journals such as Diabetes Research and Clinical Practice, Metabolism, Biochemical and Biophysical Research Communications, Diabetes & Metabolic Syndrome Clinical Research & Reviews and Cell Metabolism.
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.