Akihiro Matsui
- Molecular Biology
- Materials Chemistry
- Cardiology and Cardiovascular Medicine top 10%
- Biomedical Engineering
- Surgery
- Co-authors
- Koji SuzukiKeitaro UmezawaDaniel CitterioYuki NakamuraHiroaki MatsubaraMitsuhiko OkigakiTomosaburo TakahashiShinsaku Matsunaga
- Topics
- Acute Myocardial Infarction Research (7 papers)Coronary Interventions and Diagnostics (5 papers)Cardiac Imaging and Diagnostics (4 papers)
In The Last Decade
Akihiro Matsui
35 papers receiving 994 citations
Peers
Comparison fields: 5 of 104
- Molecular Biology 279
- Materials Chemistry 271
- Cardiology and Cardiovascular Medicine 262
- Biomedical Engineering 152
- Surgery 151
Countries citing papers authored by Akihiro Matsui
This map shows the geographic impact of Akihiro Matsui'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 Akihiro Matsui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akihiro Matsui more than expected).
Fields of papers citing papers by Akihiro Matsui
This network shows the impact of papers produced by Akihiro Matsui. 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 Akihiro Matsui. The network helps show where Akihiro Matsui may publish in the future.
Co-authorship network of co-authors of Akihiro Matsui
This figure shows the co-authorship network connecting the top 25 collaborators of Akihiro Matsui. A scholar is included among the top collaborators of Akihiro Matsui 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 Akihiro Matsui. Akihiro Matsui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 18 | |
| 4 | 31 | |
| 5 | 24 | |
| 6 | 21 | |
| 7 | 16 | |
| 8 | 77 | |
| 9 | 12 | |
| 10 | 13 | |
| 11 | 37 | |
| 12 | 0 | |
| 13 | 228 | |
| 14 | 14 | |
| 15 | 2 | |
| 16 | 3 | |
| 17 | Glycoprotein 130 and c-kit signals synergistically induce thrombopoietin production by hematopoietic cells. | 2 |
| 18 | 4 | |
| 19 | Effects of perindopril on glucose and lipid metabolism in patients with mild-to-moderate essential hypertension and glucose intolerance. | 7 |
| 20 | [Plasma catecholamine levels during nitroglycerin-induced hypotension]. | 1 |
About Akihiro Matsui
Akihiro Matsui is a scholar working on Cardiology and Cardiovascular Medicine, Hematology and Internal Medicine, having authored 37 papers that have together received 1.0k indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (7 papers), Coronary Interventions and Diagnostics (5 papers) and Cardiac Imaging and Diagnostics (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (262 citations), Hematology (107 citations) and Spectroscopy (132 citations). Akihiro Matsui has collaborated with scholars based in Japan, Germany and Greece. Frequent co-authors include Koji Suzuki, Keitaro Umezawa, Daniel Citterio, Yuki Nakamura, Hiroaki Matsubara, Mitsuhiko Okigaki, Tomosaburo Takahashi, Shinsaku Matsunaga, Kento Tateishi and Norifumi Urao. Their work appears in journals such as Circulation, Circulation Research and Chemical Communications.
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.