Kensaku Maeda
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Physiology
- Surgery
- Co-authors
- Kenichi YasunariJunichi YoshikawaMunehiro NakamuraMieko MinamiTakanori WatanabeAkira AsadaHiroaki KanoMasakazu Kohno
- Topics
- Hormonal Regulation and Hypertension (8 papers)Blood Pressure and Hypertension Studies (5 papers)Heart Failure Treatment and Management (4 papers)
- Partner nations
- Japan
In The Last Decade
Kensaku Maeda
22 papers receiving 647 citations
Peers
Comparison fields: 5 of 82
- Cardiology and Cardiovascular Medicine 295
- Molecular Biology 157
- Endocrinology, Diabetes and Metabolism 138
- Physiology 124
- Surgery 109
Countries citing papers authored by Kensaku Maeda
This map shows the geographic impact of Kensaku Maeda'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 Kensaku Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kensaku Maeda more than expected).
Fields of papers citing papers by Kensaku Maeda
This network shows the impact of papers produced by Kensaku Maeda. 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 Kensaku Maeda. The network helps show where Kensaku Maeda may publish in the future.
Co-authorship network of co-authors of Kensaku Maeda
This figure shows the co-authorship network connecting the top 25 collaborators of Kensaku Maeda. A scholar is included among the top collaborators of Kensaku Maeda 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 Kensaku Maeda. Kensaku Maeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 35 | |
| 3 | 33 | |
| 4 | 6 | |
| 5 | 83 | |
| 6 | 52 | |
| 7 | 14 | |
| 8 | 8 | |
| 9 | Dopamine as a novel anti-migration factor of vascular smooth muscle cells through D1A and D1B receptors. | 5 |
| 10 | 16 | |
| 11 | 4 | |
| 12 | 28 | |
| 13 | 161 | |
| 14 | 59 | |
| 15 | 8 | |
| 16 | 21 | |
| 17 | 61 | |
| 18 | 28 | |
| 19 | Is atrial natriuretic polypeptide a cause of pathophysiology in total artificial heart animals? | 3 |
| 20 | Treatment of angina pectoris patients with niludipine a new calcium antagonistic drug. | 1 |
About Kensaku Maeda
Kensaku Maeda is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry and Cardiology and Cardiovascular Medicine, having authored 22 papers that have together received 664 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (8 papers), Blood Pressure and Hypertension Studies (5 papers) and Heart Failure Treatment and Management (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (295 citations), Endocrinology, Diabetes and Metabolism (138 citations) and Biochemistry (49 citations). Kensaku Maeda has collaborated with scholars based in Japan. Frequent co-authors include Kenichi Yasunari, Junichi Yoshikawa, Munehiro Nakamura, Mieko Minami, Takanori Watanabe, Akira Asada, Hiroaki Kano, Takanori Watanabe, Masakazu Kohno and Eisuke F. Sato. Their work appears in journals such as Journal of the American College of Cardiology, The American Journal of Medicine and Hypertension.
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.