Hiroya Masaki
- Molecular Biology top 5%
- Surgery top 2%
- Cardiology and Cardiovascular Medicine top 1%
- Genetics top 0.5%
- Endocrinology, Diabetes and Metabolism top 1%
- Co-authors
- Toshiji IwasakaHiroaki MatsubaraYasukiyo MoriToyoaki MuroharaSatoshi ShintaniTsutomu ImaizumiKatsuya AmanoHidetoshi Akashi
- Topics
- Receptor Mechanisms and Signaling (11 papers)Renin-Angiotensin System Studies (11 papers)Ion channel regulation and function (8 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Hiroya Masaki
57 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Molecular Biology 2.5k
- Surgery 1.3k
- Cardiology and Cardiovascular Medicine 1.3k
- Genetics 1.2k
- Endocrinology, Diabetes and Metabolism 840
Countries citing papers authored by Hiroya Masaki
This map shows the geographic impact of Hiroya Masaki'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 Hiroya Masaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroya Masaki more than expected).
Fields of papers citing papers by Hiroya Masaki
This network shows the impact of papers produced by Hiroya Masaki. 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 Hiroya Masaki. The network helps show where Hiroya Masaki may publish in the future.
Co-authorship network of co-authors of Hiroya Masaki
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroya Masaki. A scholar is included among the top collaborators of Hiroya Masaki 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 Hiroya Masaki. Hiroya Masaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 3 | |
| 3 | 5 | |
| 4 | 14 | |
| 5 | 48 | |
| 6 | 35 | |
| 7 | 140 | |
| 8 | 27 | |
| 9 | 60 | |
| 10 | Therapeutic angiogenesis for patients with limb ischaemia by autologous transplantation of bone-marrow cells: a pilot study and a randomised controlled trialbreakdown → | 1308 |
| 11 | 2 | |
| 12 | 64 | |
| 13 | 68 | |
| 14 | 19 | |
| 15 | 34 | |
| 16 | 25 | |
| 17 | 70 | |
| 18 | 68 | |
| 19 | 5 | |
| 20 | 28 |
About Hiroya Masaki
Hiroya Masaki is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 57 papers that have together received 4.5k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (11 papers), Renin-Angiotensin System Studies (11 papers) and Ion channel regulation and function (8 papers). The work is most often cited by research in Genetics (1.2k citations), Cardiology and Cardiovascular Medicine (1.3k citations) and Endocrinology, Diabetes and Metabolism (840 citations). Hiroya Masaki has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Toshiji Iwasaka, Hiroaki Matsubara, Yasukiyo Mori, Toyoaki Murohara, Satoshi Shintani, Tsutomu Imaizumi, Katsuya Amano, Hidetoshi Akashi, Kohji Yoshimoto and Kazuyuki Shimada. Their work appears in journals such as The Lancet, Journal of Biological Chemistry and Circulation.
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.