Hiroyuki Sasamura
- Cardiology and Cardiovascular Medicine top 1%
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 2%
- Nephrology top 5%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Richard E. PrattVictor J. DzauTakao SarutaMasashi MukoyamaMasatoshi NakajimaMasatsugu HoriuchiLutz HeinRyoko Shimizu‐Hirota
- Topics
- Renin-Angiotensin System Studies (23 papers)Hormonal Regulation and Hypertension (17 papers)Receptor Mechanisms and Signaling (11 papers)
- Partner nations
- JapanUnited StatesVietnam
In The Last Decade
Hiroyuki Sasamura
57 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Cardiology and Cardiovascular Medicine 1.3k
- Molecular Biology 1.1k
- Endocrinology, Diabetes and Metabolism 738
- Nephrology 213
- Cellular and Molecular Neuroscience 191
Countries citing papers authored by Hiroyuki Sasamura
This map shows the geographic impact of Hiroyuki Sasamura'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 Sasamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroyuki Sasamura more than expected).
Fields of papers citing papers by Hiroyuki Sasamura
This network shows the impact of papers produced by Hiroyuki Sasamura. 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 Sasamura. The network helps show where Hiroyuki Sasamura may publish in the future.
Co-authorship network of co-authors of Hiroyuki Sasamura
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroyuki Sasamura. A scholar is included among the top collaborators of Hiroyuki Sasamura 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 Hiroyuki Sasamura. Hiroyuki Sasamura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Use of serum and urine metabolome analysis for the detection of metabolic changes in patients with stage 1-2 chronic kidney disease | 22 |
| 2 | 35 | |
| 3 | 23 | |
| 4 | 11 | |
| 5 | 7 | |
| 6 | 32 | |
| 7 | 41 | |
| 8 | 14 | |
| 9 | 27 | |
| 10 | 50 | |
| 11 | 50 | |
| 12 | 1 | |
| 13 | 28 | |
| 14 | 11 | |
| 15 | 19 | |
| 16 | 32 | |
| 17 | 33 | |
| 18 | 1 | |
| 19 | 5 | |
| 20 | 9 |
About Hiroyuki Sasamura
Hiroyuki Sasamura is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Nephrology, having authored 59 papers that have together received 2.2k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (23 papers), Hormonal Regulation and Hypertension (17 papers) and Receptor Mechanisms and Signaling (11 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.3k citations), Endocrinology, Diabetes and Metabolism (738 citations) and Nephrology (213 citations). Hiroyuki Sasamura has collaborated with scholars based in Japan, United States and Vietnam. Frequent co-authors include Richard E. Pratt, Victor J. Dzau, Takao Saruta, Masashi Mukoyama, Masatoshi Nakajima, Masatsugu Horiuchi, Lutz Hein, Ryoko Shimizu‐Hirota, Matsuhiko Hayashi and Kaori Hayashi. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.