Yasuki Maeno
- Pulmonary and Respiratory Medicine top 2%
- Surgery top 2%
- Cardiology and Cardiovascular Medicine top 2%
- Epidemiology top 5%
- Biomedical Engineering
- Co-authors
- Teiji AkagiT. SugimuraNoboru SatoHirohisa KatoKanoko HashinoRumi YamakawaMasahiro IshiiJeffrey F. Smallhorn
- Topics
- Congenital Heart Disease Studies (28 papers)Cardiovascular Issues in Pregnancy (12 papers)Cardiac Arrhythmias and Treatments (11 papers)
- Journals
- CirculationJournal of the American College of CardiologyThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- JapanCanadaSouth Africa
In The Last Decade
Yasuki Maeno
53 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Pulmonary and Respiratory Medicine 1.3k
- Surgery 1.3k
- Cardiology and Cardiovascular Medicine 886
- Epidemiology 596
- Biomedical Engineering 126
Countries citing papers authored by Yasuki Maeno
This map shows the geographic impact of Yasuki Maeno'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 Yasuki Maeno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasuki Maeno more than expected).
Fields of papers citing papers by Yasuki Maeno
This network shows the impact of papers produced by Yasuki Maeno. 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 Yasuki Maeno. The network helps show where Yasuki Maeno may publish in the future.
Co-authorship network of co-authors of Yasuki Maeno
This figure shows the co-authorship network connecting the top 25 collaborators of Yasuki Maeno. A scholar is included among the top collaborators of Yasuki Maeno 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 Yasuki Maeno. Yasuki Maeno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 44 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 18 | |
| 5 | 30 | |
| 6 | 60 | |
| 7 | 28 | |
| 8 | 27 | |
| 9 | 1 | |
| 10 | 8 | |
| 11 | 5 | |
| 12 | 30 | |
| 13 | 3 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 33 | |
| 17 | 9 | |
| 18 | 29 | |
| 19 | 6 | |
| 20 | 7 |
About Yasuki Maeno
Yasuki Maeno is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Pulmonary and Respiratory Medicine, having authored 56 papers that have together received 2.1k indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (28 papers), Cardiovascular Issues in Pregnancy (12 papers) and Cardiac Arrhythmias and Treatments (11 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.3k citations), Cardiology and Cardiovascular Medicine (886 citations) and Surgery (1.3k citations). Yasuki Maeno has collaborated with scholars based in Japan, Canada and South Africa. Frequent co-authors include Teiji Akagi, T. Sugimura, Noboru Sato, Hirohisa Kato, Kanoko Hashino, Rumi Yamakawa, Masahiro Ishii, Jeffrey F. Smallhorn, Hiroki Kato and Lisa K. Hornberger. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and The Journal of Clinical Endocrinology & Metabolism.
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.