Hiroyuki Ebinuma
Impact in
- Epidemiology top 5%
- Adipokines, Inflammation, and Metabolic Diseases
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- Regulation of Appetite and Obesity
Papers in
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- Adipokines, Inflammation, and Metabolic Diseases 5
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- Blood properties and coagulation 2
- Co-authors
- Kazuo Hara (4 shared papers)Takashi Kadowaki (4 shared papers)Toshimasa Yamauchi (4 shared papers)Osamu Miyazaki (4 shared papers)Momoko Horikoshi (1 shared paper)Yasushi Imai (1 shared paper)Ryozo Nagai (1 shared paper)Yusuke Hada (2 shared papers)
- Journals
- Clinica Chimica Acta (7 papers)Clinical Chemistry (2 papers)Blood (2 papers)Nature Communications (1 paper)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)
- Partner nations
- JapanAustriaUnited Kingdom
In The Last Decade
Hiroyuki Ebinuma
20 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 79
- Epidemiology 641
- Endocrine and Autonomic Systems 126
- Physiology 341
- Cardiology and Cardiovascular Medicine 115
- Rehabilitation 30
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 | 495 | |
| 2 | 2006 | 136 | |
| 3 | 2007 | 132 | |
| 4 | 2007 | 65 | |
| 5 | 2015 | 57 | |
| 6 | 2003 | 41 | |
| 7 | 2010 | 31 | |
| 8 | 2009 | 30 | |
| 9 | 2016 | 16 | |
| 10 | 2007 | 15 | |
| 11 | 2012 | 15 | |
| 12 | 2014 | 9 | |
| 13 | 2016 | 8 | |
| 14 | 2016 | 7 | |
| 15 | 2015 | 7 | |
| 16 | 2019 | 3 | |
| 17 | 2021 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2011 | 1 | |
| 20 | 2018 | 1 |
About Hiroyuki Ebinuma
Hiroyuki Ebinuma is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Molecular Biology, Genetics and Pathology and Forensic Medicine, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (5 papers), Blood properties and coagulation (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Adipose Tissue and Metabolism (2 papers), Acute Myeloid Leukemia Research (1 paper), Glycosylation and Glycoproteins Research (1 paper), S100 Proteins and Annexins (1 paper) and Pregnancy and preeclampsia studies (1 paper). The work is most often cited by research in Epidemiology (641 citations), Endocrine and Autonomic Systems (126 citations), Physiology (341 citations), Cardiology and Cardiovascular Medicine (115 citations) and Rehabilitation (30 citations). Hiroyuki Ebinuma has collaborated with scholars based in Japan, Austria and United Kingdom. Frequent co-authors include Kazuo Hara, Takashi Kadowaki, Toshimasa Yamauchi, Osamu Miyazaki, Momoko Horikoshi, Yasushi Imai, Ryozo Nagai, Yusuke Hada, Hideaki Bujo and Hironori Waki. Their work appears in journals such as Clinica Chimica Acta, Clinical Chemistry, Blood, Nature Communications and Arteriosclerosis Thrombosis and Vascular Biology.
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.