Mieko Minami
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Cellular and Molecular Neuroscience top 5%
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Masakazu KohnoHiroaki KanoJunichi YoshikawaKenichi YasunariKoji YokokawaTakao HanehiraTakeshi HorioMiwako Ikeda
- Topics
- Nitric Oxide and Endothelin Effects (20 papers)Receptor Mechanisms and Signaling (15 papers)Hormonal Regulation and Hypertension (12 papers)
- Cited by
- Cellular and Molecular NeuroscienceCardiology and Cardiovascular MedicineEndocrinology, Diabetes and Metabolism
- Partner nations
- JapanUnited States
In The Last Decade
Mieko Minami
53 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 797
- Cardiology and Cardiovascular Medicine 571
- Cellular and Molecular Neuroscience 533
- Surgery 412
- Endocrinology, Diabetes and Metabolism 342
Countries citing papers authored by Mieko Minami
This map shows the geographic impact of Mieko Minami'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 Mieko Minami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mieko Minami more than expected).
Fields of papers citing papers by Mieko Minami
This network shows the impact of papers produced by Mieko Minami. 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 Mieko Minami. The network helps show where Mieko Minami may publish in the future.
Co-authorship network of co-authors of Mieko Minami
This figure shows the co-authorship network connecting the top 25 collaborators of Mieko Minami. A scholar is included among the top collaborators of Mieko Minami 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 Mieko Minami. Mieko Minami 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 | 103 | |
| 4 | 8 | |
| 5 | 30 | |
| 6 | Anti-atherosclerotic action of vascular D1 receptors. | 7 |
| 7 | 61 | |
| 8 | 60 | |
| 9 | 11 | |
| 10 | 28 | |
| 11 | 23 | |
| 12 | [Application of heparin-coated percutaneous cardiopulmonary support system to elective cardiac and aortic operations]. | 1 |
| 13 | 5 | |
| 14 | 7 | |
| 15 | 44 | |
| 16 | 177 | |
| 17 | 31 | |
| 18 | 20 | |
| 19 | 5 | |
| 20 | 75 |
About Mieko Minami
Mieko Minami is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Biochemistry, having authored 53 papers that have together received 1.9k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (20 papers), Receptor Mechanisms and Signaling (15 papers) and Hormonal Regulation and Hypertension (12 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (533 citations), Cardiology and Cardiovascular Medicine (571 citations) and Endocrinology, Diabetes and Metabolism (342 citations). Mieko Minami has collaborated with scholars based in Japan and United States. Frequent co-authors include Masakazu Kohno, Hiroaki Kano, Junichi Yoshikawa, Kenichi Yasunari, Koji Yokokawa, Takao Hanehira, Takeshi Horio, Miwako Ikeda, Kenichi Yasunari and Kensaku Maeda. Their work appears in journals such as Circulation, Circulation Research and The American Journal of Medicine.
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.