Hideyuki Miyauchi
- Molecular Biology top 10%
- Physiology top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Cancer Research top 5%
- Immunology top 10%
- Co-authors
- Tohru MinaminoIssei KomuroKaoru TatenoTakeshige KuniedaHaruhiro TokoMasayuki OrimoToshihiko YoshidaSho Okada
- Topics
- Adipose Tissue and Metabolism (10 papers)Lipid metabolism and biosynthesis (8 papers)Cardiovascular Function and Risk Factors (6 papers)
- Journals
- NatureCirculationThe EMBO Journal
- Partner nations
- JapanUnited StatesNorway
In The Last Decade
Hideyuki Miyauchi
37 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Molecular Biology 1.1k
- Physiology 797
- Cardiology and Cardiovascular Medicine 546
- Cancer Research 323
- Immunology 309
Countries citing papers authored by Hideyuki Miyauchi
This map shows the geographic impact of Hideyuki Miyauchi'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 Hideyuki Miyauchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideyuki Miyauchi more than expected).
Fields of papers citing papers by Hideyuki Miyauchi
This network shows the impact of papers produced by Hideyuki Miyauchi. 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 Hideyuki Miyauchi. The network helps show where Hideyuki Miyauchi may publish in the future.
Co-authorship network of co-authors of Hideyuki Miyauchi
This figure shows the co-authorship network connecting the top 25 collaborators of Hideyuki Miyauchi. A scholar is included among the top collaborators of Hideyuki Miyauchi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hideyuki Miyauchi. Hideyuki Miyauchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 13 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 7 | |
| 11 | 14 | |
| 12 | p53-induced inhibition of Hif-1 causes cardiac dysfunction during pressure overloadbreakdown → | 723 |
| 13 | 4 | |
| 14 | 7 | |
| 15 | 143 | |
| 16 | 35 | |
| 17 | 272 | |
| 18 | 39 | |
| 19 | Vascular smooth muscle cell senescence promotes vascular inflammation in human atherosclerosis | 3 |
| 20 | Pathophysiological role of telomerase activation in vascular remodeling | 1 |
About Hideyuki Miyauchi
Hideyuki Miyauchi is a scholar working on Aging, Biochemistry and Physiology, having authored 42 papers that have together received 2.4k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (10 papers), Lipid metabolism and biosynthesis (8 papers) and Cardiovascular Function and Risk Factors (6 papers). The work is most often cited by research in Aging (177 citations), Geriatrics and Gerontology (165 citations) and Physiology (797 citations). Hideyuki Miyauchi has collaborated with scholars based in Japan, United States and Norway. Frequent co-authors include Tohru Minamino, Issei Komuro, Kaoru Tateno, Takeshige Kunieda, Haruhiro Toko, Masayuki Orimo, Toshihiko Yoshida, Sho Okada, Hiroshi Akazawa and Masanori Sano. Their work appears in journals such as Nature, Circulation and The EMBO Journal.
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.