Masako Oya Masuda
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Epidemiology
- Endocrinology, Diabetes and Metabolism top 10%
- Immunology
- Co-authors
- Antônio Carlos Campos de CarvalhoJosé NascimentoElen A. ChavesRicardo H. Costa‐e‐SousaFernando PompeuRoberto Coury PedrosaPedro Paulo Pereira-JuniorEmerson Lopes Olivares
- Topics
- Trypanosoma species research and implications (9 papers)Cardiac electrophysiology and arrhythmias (6 papers)Cardiomyopathy and Myosin Studies (6 papers)
- Journals
- CirculationSHILAP Revista de lepidopterologíaBlood
- Partner nations
- BrazilJapanUnited States
In The Last Decade
Masako Oya Masuda
37 papers receiving 875 citations
Peers
Comparison fields: 5 of 103
- Cardiology and Cardiovascular Medicine 289
- Molecular Biology 278
- Epidemiology 207
- Endocrinology, Diabetes and Metabolism 178
- Immunology 97
Countries citing papers authored by Masako Oya Masuda
This map shows the geographic impact of Masako Oya Masuda'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 Masako Oya Masuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masako Oya Masuda more than expected).
Fields of papers citing papers by Masako Oya Masuda
This network shows the impact of papers produced by Masako Oya Masuda. 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 Masako Oya Masuda. The network helps show where Masako Oya Masuda may publish in the future.
Co-authorship network of co-authors of Masako Oya Masuda
This figure shows the co-authorship network connecting the top 25 collaborators of Masako Oya Masuda. A scholar is included among the top collaborators of Masako Oya Masuda 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 Masako Oya Masuda. Masako Oya Masuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 21 | |
| 5 | 25 | |
| 6 | 14 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 59 | |
| 10 | 32 | |
| 11 | 1 | |
| 12 | Interação museu de ciências-universidade: contribuições para o ensino não-formal de ciências | 4 |
| 13 | 70 | |
| 14 | 62 | |
| 15 | 65 | |
| 16 | 11 | |
| 17 | 14 | |
| 18 | 3 | |
| 19 | 52 | |
| 20 | 8 |
About Masako Oya Masuda
Masako Oya Masuda is a scholar working on Cardiology and Cardiovascular Medicine, Otorhinolaryngology and Information Systems and Management, having authored 39 papers that have together received 906 indexed citations. Recurring topics across this work include Trypanosoma species research and implications (9 papers), Cardiac electrophysiology and arrhythmias (6 papers) and Cardiomyopathy and Myosin Studies (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (289 citations), Endocrinology, Diabetes and Metabolism (178 citations) and Aging (18 citations). Masako Oya Masuda has collaborated with scholars based in Brazil, Japan and United States. Frequent co-authors include Antônio Carlos Campos de Carvalho, José Nascimento, Elen A. Chaves, Ricardo H. Costa‐e‐Sousa, Fernando Pompeu, Roberto Coury Pedrosa, Pedro Paulo Pereira-Junior, Emerson Lopes Olivares, L Byerly and Denise Pires de Carvalho. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Blood.
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.