Hideaki Nakaya
- Molecular Biology
- Cardiology and Cardiovascular Medicine
- Endocrinology, Diabetes and Metabolism top 10%
- Geriatrics and Gerontology top 5%
- Physiology
- Co-authors
- Hiroyuki SasamuraTakao SarutaMatsuhiko HayashiRyoko Shimizu‐HirotaMizuo MifuneHiroshi ItohMasato YasuiJunichiro Irie
- Topics
- Renin-Angiotensin System Studies (8 papers)Hormonal Regulation and Hypertension (6 papers)Blood Pressure and Hypertension Studies (3 papers)
- Journals
- Kidney InternationalJournal of the American Society of NephrologyAmerican Journal Of Pathology
- Partner nations
- JapanUnited StatesPhilippines
In The Last Decade
Hideaki Nakaya
17 papers receiving 429 citations
Peers
Comparison fields: 5 of 77
- Molecular Biology 153
- Cardiology and Cardiovascular Medicine 141
- Endocrinology, Diabetes and Metabolism 98
- Geriatrics and Gerontology 89
- Physiology 73
Countries citing papers authored by Hideaki Nakaya
This map shows the geographic impact of Hideaki Nakaya'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 Hideaki Nakaya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideaki Nakaya more than expected).
Fields of papers citing papers by Hideaki Nakaya
This network shows the impact of papers produced by Hideaki Nakaya. 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 Hideaki Nakaya. The network helps show where Hideaki Nakaya may publish in the future.
Co-authorship network of co-authors of Hideaki Nakaya
This figure shows the co-authorship network connecting the top 25 collaborators of Hideaki Nakaya. A scholar is included among the top collaborators of Hideaki Nakaya 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 Hideaki Nakaya. Hideaki Nakaya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 12 | |
| 3 | 131 | |
| 4 | 0 | |
| 5 | 15 | |
| 6 | [Roles of PPARgamma in preventing the development of atherosclerosis in LDL receptor null mice]. | 1 |
| 7 | 13 | |
| 8 | 24 | |
| 9 | 8 | |
| 10 | 14 | |
| 11 | 27 | |
| 12 | 50 | |
| 13 | 50 | |
| 14 | 25 | |
| 15 | 14 | |
| 16 | 28 | |
| 17 | 10 | |
| 18 | 8 |
About Hideaki Nakaya
Hideaki Nakaya is a scholar working on Geriatrics and Gerontology, Physiology and Endocrinology, Diabetes and Metabolism, having authored 18 papers that have together received 440 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (8 papers), Hormonal Regulation and Hypertension (6 papers) and Blood Pressure and Hypertension Studies (3 papers). The work is most often cited by research in Geriatrics and Gerontology (89 citations), Physiology (46 citations) and Cardiology and Cardiovascular Medicine (141 citations). Hideaki Nakaya has collaborated with scholars based in Japan, United States and Philippines. Frequent co-authors include Hiroyuki Sasamura, Takao Saruta, Matsuhiko Hayashi, Ryoko Shimizu‐Hirota, Mizuo Mifune, Hiroshi Itoh, Masato Yasui, Junichiro Irie, Shintaro Yamaguchi and Emi Inagaki. Their work appears in journals such as Kidney International, Journal of the American Society of Nephrology and American Journal Of Pathology.
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.