Takehiko Mizuno
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 2%
- Physiology top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Surgery
- Co-authors
- Issei KomuroYoshio YazakiIchiro ShiojimaSumiyo KudohTsutomu YamazakiYukio HiroiYunzeng ZouHiroyuki Takano
- Topics
- Protein Kinase Regulation and GTPase Signaling (5 papers)Cardiac Fibrosis and Remodeling (4 papers)Receptor Mechanisms and Signaling (4 papers)
- Cited by
- Cardiology and Cardiovascular MedicineMolecular BiologyEndocrinology, Diabetes and Metabolism
- Partner nations
- JapanUnited States
In The Last Decade
Takehiko Mizuno
17 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 1.2k
- Cardiology and Cardiovascular Medicine 946
- Physiology 230
- Endocrinology, Diabetes and Metabolism 173
- Surgery 148
Countries citing papers authored by Takehiko Mizuno
This map shows the geographic impact of Takehiko Mizuno'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 Takehiko Mizuno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takehiko Mizuno more than expected).
Fields of papers citing papers by Takehiko Mizuno
This network shows the impact of papers produced by Takehiko Mizuno. 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 Takehiko Mizuno. The network helps show where Takehiko Mizuno may publish in the future.
Co-authorship network of co-authors of Takehiko Mizuno
This figure shows the co-authorship network connecting the top 25 collaborators of Takehiko Mizuno. A scholar is included among the top collaborators of Takehiko Mizuno 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 Takehiko Mizuno. Takehiko Mizuno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 103 | |
| 3 | IS003 Transcriptional Regulation of Human Cardiac Homeobox Gene CSX1-Role of Bone Morphogenetic Proteins and Downstream Signaling Molecules | 1 |
| 4 | 42 | |
| 5 | 27 | |
| 6 | 131 | |
| 7 | 220 | |
| 8 | 119 | |
| 9 | 37 | |
| 10 | 15 | |
| 11 | 142 | |
| 12 | 7 | |
| 13 | 185 | |
| 14 | 314 | |
| 15 | 64 | |
| 16 | 250 | |
| 17 | 10 |
About Takehiko Mizuno
Takehiko Mizuno is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Physiology, having authored 17 papers that have together received 1.7k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (5 papers), Cardiac Fibrosis and Remodeling (4 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (946 citations), Molecular Biology (1.2k citations) and Endocrinology, Diabetes and Metabolism (173 citations). Takehiko Mizuno has collaborated with scholars based in Japan and United States. Frequent co-authors include Issei Komuro, Yoshio Yazaki, Ichiro Shiojima, Sumiyo Kudoh, Tsutomu Yamazaki, Yukio Hiroi, Yunzeng Zou, Hiroyuki Takano, Ryuichi Aikawa and Toru Oka. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Circulation Research.
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.