Hiroyuki Ebinuma
Impact in
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- Regulation of Appetite and Obesity
- Epidemiology top 5%
- Adipokines, Inflammation, and Metabolic Diseases
Papers in
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- Adipose Tissue and Metabolism 4
- Alzheimer's disease research and treatments 2
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- Adipokines, Inflammation, and Metabolic Diseases 6
- Co-authors
- Takashi Kadowaki (4 shared papers)Kazuo Hara (4 shared papers)Toshimasa Yamauchi (4 shared papers)Osamu Miyazaki (4 shared papers)Hirokazu Yago (4 shared papers)Yasushi Imai (1 shared paper)Ryozo Nagai (1 shared paper)Momoko Horikoshi (1 shared paper)
In The Last Decade
Hiroyuki Ebinuma
20 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 85
- Endocrine and Autonomic Systems 173
- Epidemiology 699
- Physiology 488
- Cardiology and Cardiovascular Medicine 227
- Immunology 133
Countries citing papers authored by Hiroyuki Ebinuma
This map shows the geographic impact of Hiroyuki Ebinuma'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 Hiroyuki Ebinuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroyuki Ebinuma more than expected).
Fields of papers citing papers by Hiroyuki Ebinuma
This network shows the impact of papers produced by Hiroyuki Ebinuma. 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 Hiroyuki Ebinuma. The network helps show where Hiroyuki Ebinuma may publish in the future.
Co-authors
The 25 scholars most cited alongside Hiroyuki Ebinuma, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 478 | |
| 2 | 2006 | 136 | |
| 3 | 2007 | 127 | |
| 4 | 2007 | 63 | |
| 5 | 2015 | 55 | |
| 6 | 2003 | 41 | |
| 7 | 2010 | 31 | |
| 8 | 2009 | 30 | |
| 9 | 2016 | 16 | |
| 10 | 2012 | 15 | |
| 11 | 2007 | 15 | |
| 12 | 2014 | 9 | |
| 13 | 2016 | 8 | |
| 14 | 2016 | 7 | |
| 15 | 2015 | 6 | |
| 16 | 2019 | 3 | |
| 17 | 2021 | 1 | |
| 18 | 2018 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2011 | 1 |
About Hiroyuki Ebinuma
Hiroyuki Ebinuma is a scholar working on Physiology, Epidemiology, Immunology, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 21 papers that have together received 1.0k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (6 papers), Adipose Tissue and Metabolism (4 papers), S100 Proteins and Annexins (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Blood properties and coagulation (3 papers), Alzheimer's disease research and treatments (2 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (173 citations), Epidemiology (699 citations), Physiology (488 citations), Cardiology and Cardiovascular Medicine (227 citations) and Immunology (133 citations). Hiroyuki Ebinuma has collaborated with scholars based in Japan, Austria and China. Frequent co-authors include Takashi Kadowaki, Kazuo Hara, Toshimasa Yamauchi, Osamu Miyazaki, Hirokazu Yago, Yasushi Imai, Ryozo Nagai, Momoko Horikoshi, Yusuke Hada and Hideaki Bujo. Their work appears in journals such as Clinica Chimica Acta, Clinical Chemistry, Blood, Metabolism and Thrombosis Research.
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.