Masayuki Orimo
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Geriatrics and Gerontology top 2%
- Sirtuins and Resveratrol in Medicine
Papers in
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- Adipose Tissue and Metabolism 2
- Spaceflight effects on biology 1
- Telomeres, Telomerase, and Senescence 1
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- Angiogenesis and VEGF in Cancer 1
- Co-authors
- Tohru Minamino (6 shared papers)Issei Komuro (6 shared papers)Kaoru Tateno (5 shared papers)Hideyuki Miyauchi (5 shared papers)Ippei Shimizu (2 shared papers)Takeshige Kunieda (3 shared papers)Aika Nojima (2 shared papers)Sho Okada (4 shared papers)
- Journals
- Circulation Research (2 papers)Nature Medicine (1 paper)Circulation (1 paper)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)Nature (1 paper)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Masayuki Orimo
6 papers receiving 2.0k citations
Masayuki Orimo's Hit Papers
Peers
Comparison fields: 5 of 90
- Aging 123
- Geriatrics and Gerontology 139
- Physiology 708
- Cancer Research 283
- Cardiology and Cardiovascular Medicine 377
Countries citing papers authored by Masayuki Orimo
This map shows the geographic impact of Masayuki Orimo'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 Masayuki Orimo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masayuki Orimo more than expected).
Fields of papers citing papers by Masayuki Orimo
This network shows the impact of papers produced by Masayuki Orimo. 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 Masayuki Orimo. The network helps show where Masayuki Orimo may publish in the future.
Co-authors
The 25 scholars most cited alongside Masayuki Orimo, 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 | p53-induced inhibition of Hif-1 causes cardiac dysfunction during pressure overload Hit paper breakdown → | 2007 | 727 |
| 2 | A crucial role for adipose tissue p53 in the regulation of insulin resistance Hit paper breakdown → | 2009 | 684 |
| 3 | 2006 | 242 | |
| 4 | 2009 | 185 | |
| 5 | 2006 | 100 | |
| 6 | 2008 | 48 |
About Masayuki Orimo
Masayuki Orimo is a scholar working on Physiology, Molecular Biology, Cancer Research, Cardiology and Cardiovascular Medicine and Endocrine and Autonomic Systems, having authored 6 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (2 papers), Adipose Tissue and Metabolism (2 papers), Zebrafish Biomedical Research Applications (1 paper), Angiogenesis and VEGF in Cancer (1 paper), Adipokines, Inflammation, and Metabolic Diseases (1 paper), Circadian rhythm and melatonin (1 paper), Spaceflight effects on biology (1 paper) and Telomeres, Telomerase, and Senescence (1 paper). The work is most often cited by research in Aging (123 citations), Geriatrics and Gerontology (139 citations), Physiology (708 citations), Cancer Research (283 citations) and Cardiology and Cardiovascular Medicine (377 citations). Masayuki Orimo has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Tohru Minamino, Issei Komuro, Kaoru Tateno, Hideyuki Miyauchi, Ippei Shimizu, Takeshige Kunieda, Aika Nojima, Sho Okada, Yuichi Oike and Masataka Yokoyama. Their work appears in journals such as Circulation Research, Nature Medicine, Circulation, Arteriosclerosis Thrombosis and Vascular Biology and Nature.
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.