Maiko Shiota
- Cardiology and Cardiovascular Medicine top 5%
- Epidemiology
- Surgery
- Radiology, Nuclear Medicine and Imaging top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Takahiro ShiotaRobert J. SiegelYuichi J. ShimadaA. Marc GillinovShota FukudaMasaki IzumoJong‐Min SongKunitsugu Takasaki
- Topics
- Cardiac Valve Diseases and Treatments (9 papers)Cardiovascular Function and Risk Factors (8 papers)Infective Endocarditis Diagnosis and Management (3 papers)
- Journals
- The American Journal of CardiologyJournal of the American Society of EchocardiographyCirculation Cardiovascular Imaging
- Partner nations
- United StatesSouth Korea
In The Last Decade
Maiko Shiota
12 papers receiving 573 citations
Peers
Comparison fields: 5 of 22
- Cardiology and Cardiovascular Medicine 565
- Epidemiology 228
- Surgery 186
- Radiology, Nuclear Medicine and Imaging 166
- Pulmonary and Respiratory Medicine 159
Countries citing papers authored by Maiko Shiota
This map shows the geographic impact of Maiko Shiota'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 Maiko Shiota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maiko Shiota more than expected).
Fields of papers citing papers by Maiko Shiota
This network shows the impact of papers produced by Maiko Shiota. 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 Maiko Shiota. The network helps show where Maiko Shiota may publish in the future.
Co-authorship network of co-authors of Maiko Shiota
This figure shows the co-authorship network connecting the top 25 collaborators of Maiko Shiota. A scholar is included among the top collaborators of Maiko Shiota 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 Maiko Shiota. Maiko Shiota is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 7 | |
| 3 | 23 | |
| 4 | 69 | |
| 5 | 14 | |
| 6 | 18 | |
| 7 | 57 | |
| 8 | 187 | |
| 9 | 87 | |
| 10 | 12 | |
| 11 | 83 | |
| 12 | 22 |
About Maiko Shiota
Maiko Shiota is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 12 papers that have together received 588 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (9 papers), Cardiovascular Function and Risk Factors (8 papers) and Infective Endocarditis Diagnosis and Management (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (565 citations), Radiology, Nuclear Medicine and Imaging (166 citations) and Epidemiology (228 citations). Maiko Shiota has collaborated with scholars based in United States and South Korea. Frequent co-authors include Takahiro Shiota, Robert J. Siegel, Yuichi J. Shimada, A. Marc Gillinov, Shota Fukuda, Masaki Izumo, Jong‐Min Song, Kunitsugu Takasaki, Kirsten Tolstrup and Swaminatha V. Gurudevan. Their work appears in journals such as The American Journal of Cardiology, Journal of the American Society of Echocardiography and Circulation Cardiovascular Imaging.
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.