Makoto Okabe
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Surgery
- Biomedical Engineering
- Physiology
- Co-authors
- Fumio TerasakiKeishiro KawamuraYasushi KitauraTetsuya HayashiYumiko KanzakiHiroaki ShimomuraKaoru OtsukaShuichi Fujita
- Topics
- Cardiomyopathy and Myosin Studies (10 papers)Cardiovascular Function and Risk Factors (6 papers)Inflammatory Bowel Disease (6 papers)
- Journals
- CirculationSHILAP Revista de lepidopterologíaGastroenterology
- Partner nations
- JapanUnited StatesCzechia
In The Last Decade
Makoto Okabe
44 papers receiving 382 citations
Peers
Comparison fields: 5 of 85
- Cardiology and Cardiovascular Medicine 176
- Molecular Biology 145
- Surgery 60
- Biomedical Engineering 39
- Physiology 37
Countries citing papers authored by Makoto Okabe
This map shows the geographic impact of Makoto Okabe'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 Makoto Okabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makoto Okabe more than expected).
Fields of papers citing papers by Makoto Okabe
This network shows the impact of papers produced by Makoto Okabe. 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 Makoto Okabe. The network helps show where Makoto Okabe may publish in the future.
Co-authorship network of co-authors of Makoto Okabe
This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Okabe. A scholar is included among the top collaborators of Makoto Okabe 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 Makoto Okabe. Makoto Okabe 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 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 27 | |
| 7 | Enhanced expression of helper T cell type 1 cytokines in myocardium from patients with active cardiac sarcoidosis | 0 |
| 8 | 1 | |
| 9 | 18 | |
| 10 | 14 | |
| 11 | 6 | |
| 12 | 13 | |
| 13 | 1055 THE ROLE OF DIGITALIS-LIKE FACTORS (DLF) IN PATIENTS WITH HYPERTROPHIC CARDIOMYOPATHY (HCM) | 1 |
| 14 | 22 | |
| 15 | 17 | |
| 16 | SCANNING ELECTRON MICROSCOPIC (SEM) STUDY OF MYOCARDIUM IN IDIOPATHIC RESTRICTIVE CARDIOMYOPATHY (IRCM) | 1 |
| 17 | THE GENESIS OF A STIFF MYOCARDIUM IN IDIOPATHIC RESTRICTIVE CARDIOMYOPATHY (RCM) : CORRELATION BETWEEN THE HEMODYNAMICS AND THE HISTOLOGY OF CARDIAC BIOPSIES. | 1 |
| 18 | 1 | |
| 19 | 4 | |
| 20 | 13 |
About Makoto Okabe
Makoto Okabe is a scholar working on Structural Biology, Cardiology and Cardiovascular Medicine and Aging, having authored 47 papers that have together received 389 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (10 papers), Cardiovascular Function and Risk Factors (6 papers) and Inflammatory Bowel Disease (6 papers). The work is most often cited by research in Structural Biology (11 citations), Cardiology and Cardiovascular Medicine (176 citations) and Clinical Biochemistry (24 citations). Makoto Okabe has collaborated with scholars based in Japan, United States and Czechia. Frequent co-authors include Fumio Terasaki, Keishiro Kawamura, Yasushi Kitaura, Tetsuya Hayashi, Yumiko Kanzaki, Hiroaki Shimomura, Kaoru Otsuka, Shuichi Fujita, Michihiro Suwa and Hikaru Nishimura. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Gastroenterology.
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.