G. Takemura
- Cardiology and Cardiovascular Medicine top 2%
- Molecular Biology
- Surgery
- Radiology, Nuclear Medicine and Imaging top 10%
- Pathology and Forensic Medicine top 10%
- Co-authors
- Hisayoshi FujiwaraKazuwa NakaoShinya MinatoguchiYoshihiko SaitoShingo MinatoguchiTomoya OnoderaMuhammad AshrafTohru Fujiwara
- Topics
- Cardiac Imaging and Diagnostics (6 papers)Cardiac electrophysiology and arrhythmias (5 papers)Cardiomyopathy and Myosin Studies (5 papers)
- Partner nations
- JapanUnited StatesGreece
In The Last Decade
G. Takemura
36 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 83
- Cardiology and Cardiovascular Medicine 710
- Molecular Biology 317
- Surgery 182
- Radiology, Nuclear Medicine and Imaging 168
- Pathology and Forensic Medicine 125
Countries citing papers authored by G. Takemura
This map shows the geographic impact of G. Takemura'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 G. Takemura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Takemura more than expected).
Fields of papers citing papers by G. Takemura
This network shows the impact of papers produced by G. Takemura. 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 G. Takemura. The network helps show where G. Takemura may publish in the future.
Co-authorship network of co-authors of G. Takemura
This figure shows the co-authorship network connecting the top 25 collaborators of G. Takemura. A scholar is included among the top collaborators of G. Takemura 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 G. Takemura. G. Takemura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 5 | |
| 3 | 118 | |
| 4 | 101 | |
| 5 | 15 | |
| 6 | 2 | |
| 7 | 36 | |
| 8 | 21 | |
| 9 | 53 | |
| 10 | 119 | |
| 11 | 65 | |
| 12 | Effect of Granulocyte Colony-Stimulating Factor as a non-invasive regeneration therapy for patients with intractable chronic ischemic heart disease by myocardial perfusion scintigraphy | 1 |
| 13 | 92 | |
| 14 | 30 | |
| 15 | 37 | |
| 16 | 60 | |
| 17 | 2 | |
| 18 | 11 | |
| 19 | 187 | |
| 20 | High frequency of spontaneous acute myocardial infarction due to small coronary artery disease in dead (NZWxBXSB)F1 male mice. | 10 |
About G. Takemura
G. Takemura is a scholar working on Cardiology and Cardiovascular Medicine, Biophysics and Immunology and Allergy, having authored 36 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (6 papers), Cardiac electrophysiology and arrhythmias (5 papers) and Cardiomyopathy and Myosin Studies (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (710 citations), Genetics (92 citations) and Hematology (96 citations). G. Takemura has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Hisayoshi Fujiwara, Kazuwa Nakao, Shinya Minatoguchi, Yoshihiko Saito, Shingo Minatoguchi, Tomoya Onodera, Muhammad Ashraf, Tohru Fujiwara, Masanori Kawasaki and Makoto Iwama. Their work appears in journals such as Circulation, Journal of Clinical Investigation 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.