Masatoshi Masuo
- Molecular Biology
- Physiology top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Cell Biology top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Takio KitazawaA P SomlyoMitsuo IkebeS ReardonAvril V. SomlyoTakehisa KitazawaMeng GongPhilip Cohen
- Topics
- Cardiovascular Function and Risk Factors (4 papers)Ion channel regulation and function (4 papers)Mitochondrial Function and Pathology (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryCirculation Research
- Partner nations
- JapanUnited States
In The Last Decade
Masatoshi Masuo
22 papers receiving 923 citations
Peers
Comparison fields: 5 of 93
- Molecular Biology 566
- Physiology 248
- Cardiology and Cardiovascular Medicine 238
- Cell Biology 124
- Radiology, Nuclear Medicine and Imaging 111
Countries citing papers authored by Masatoshi Masuo
This map shows the geographic impact of Masatoshi Masuo'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 Masatoshi Masuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masatoshi Masuo more than expected).
Fields of papers citing papers by Masatoshi Masuo
This network shows the impact of papers produced by Masatoshi Masuo. 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 Masatoshi Masuo. The network helps show where Masatoshi Masuo may publish in the future.
Co-authorship network of co-authors of Masatoshi Masuo
This figure shows the co-authorship network connecting the top 25 collaborators of Masatoshi Masuo. A scholar is included among the top collaborators of Masatoshi Masuo 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 Masatoshi Masuo. Masatoshi Masuo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | Multicenter Epidemiological Study on the Incidence of Heparin-Induced Thrombocytopenia (HIT) | 1 |
| 3 | 10 | |
| 4 | [Primary cardiac lymphoma: a case report]. | 5 |
| 5 | 19 | |
| 6 | 21 | |
| 7 | 161 | |
| 8 | 8 | |
| 9 | 186 | |
| 10 | 3 | |
| 11 | Noninvasive method to obtain input function for measuring tissue glucose utilization of thoracic and abdominal organs. | 114 |
| 12 | 16 | |
| 13 | 33 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 14 | |
| 17 | Evaluation of regurgitant fraction of the left ventricle by gated cardiac blood-pool scanning using SPECT. | 9 |
| 18 | 5 | |
| 19 | 36 | |
| 20 | 2 |
About Masatoshi Masuo
Masatoshi Masuo is a scholar working on Equine, Cardiology and Cardiovascular Medicine and Internal Medicine, having authored 22 papers that have together received 942 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (4 papers), Ion channel regulation and function (4 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (238 citations), Physiology (248 citations) and Sensory Systems (45 citations). Masatoshi Masuo has collaborated with scholars based in Japan and United States. Frequent co-authors include Takio Kitazawa, A P Somlyo, Mitsuo Ikebe, S Reardon, Avril V. Somlyo, Takehisa Kitazawa, Meng Gong, Philip Cohen, Tsuneaki Sugimoto and Tohru Ohtake. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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.