Miwa Takatsu
- Endocrinology, Diabetes and Metabolism top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Physiology
- Surgery
- Co-authors
- Kohzo NagataToyoaki MuroharaTakuya HattoriKeiji TakahashiMorihiko AoyamaYoshiyuki BandoAkihiro HirashikiTakahiro Okumura
- Topics
- Hormonal Regulation and Hypertension (4 papers)Adipose Tissue and Metabolism (3 papers)Renin-Angiotensin System Studies (3 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Miwa Takatsu
15 papers receiving 498 citations
Peers
Comparison fields: 5 of 65
- Endocrinology, Diabetes and Metabolism 209
- Cardiology and Cardiovascular Medicine 192
- Molecular Biology 132
- Physiology 127
- Surgery 87
Countries citing papers authored by Miwa Takatsu
This map shows the geographic impact of Miwa Takatsu'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 Miwa Takatsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miwa Takatsu more than expected).
Fields of papers citing papers by Miwa Takatsu
This network shows the impact of papers produced by Miwa Takatsu. 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 Miwa Takatsu. The network helps show where Miwa Takatsu may publish in the future.
Co-authorship network of co-authors of Miwa Takatsu
This figure shows the co-authorship network connecting the top 25 collaborators of Miwa Takatsu. A scholar is included among the top collaborators of Miwa Takatsu 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 Miwa Takatsu. Miwa Takatsu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Roles of oxidative stress and the mineralocorticoid receptor in cardiac pathology in a rat model of metabolic syndrome. | 6 |
| 2 | 14 | |
| 3 | Glucocorticoids activate cardiac mineralocorticoid receptors in adrenalectomized Dahl salt-sensitive rats. | 10 |
| 4 | Premature cardiac senescence in DahlS.Z-Lepr(fa)/Lepr(fa) rats as a new animal model of metabolic syndrome. | 13 |
| 5 | 38 | |
| 6 | 65 | |
| 7 | 22 | |
| 8 | 30 | |
| 9 | 149 | |
| 10 | 39 | |
| 11 | 31 | |
| 12 | 59 | |
| 13 | 1 | |
| 14 | 25 | |
| 15 | [A case with acute pandysautonomia with aseptic meningitis--Pathophysiological and therapeutic study]. | 3 |
About Miwa Takatsu
Miwa Takatsu is a scholar working on Aging, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 15 papers that have together received 505 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (4 papers), Adipose Tissue and Metabolism (3 papers) and Renin-Angiotensin System Studies (3 papers). The work is most often cited by research in Aging (23 citations), Endocrinology, Diabetes and Metabolism (209 citations) and Cardiology and Cardiovascular Medicine (192 citations). Miwa Takatsu has collaborated with scholars based in Japan and United States. Frequent co-authors include Kohzo Nagata, Toyoaki Murohara, Takuya Hattori, Keiji Takahashi, Morihiko Aoyama, Yoshiyuki Bando, Akihiro Hirashiki, Takahiro Okumura, Hiromi Ito and Shogo Watanabe. Their work appears in journals such as Circulation, Hypertension and European Journal of Pharmacology.
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.