Mahito Noro
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Pulmonary and Respiratory Medicine
- Cognitive Neuroscience
- Biomedical Engineering
- Co-authors
- Kaoru SugiTakanori IkedaTakao SakataMitsuaki TakamiTetsu YamaguchiTakeshi NakaeYoshihisa EnjojiNaoki Tezuka
- Topics
- Cardiac Arrhythmias and Treatments (26 papers)Cardiac electrophysiology and arrhythmias (22 papers)Atrial Fibrillation Management and Outcomes (19 papers)
- Journals
- Journal of the American College of CardiologyJournal of HypertensionUltrasound in Medicine & Biology
- Partner nations
- JapanUnited StatesAustria
In The Last Decade
Mahito Noro
53 papers receiving 591 citations
Peers
Comparison fields: 5 of 61
- Cardiology and Cardiovascular Medicine 572
- Molecular Biology 165
- Pulmonary and Respiratory Medicine 39
- Cognitive Neuroscience 37
- Biomedical Engineering 35
Countries citing papers authored by Mahito Noro
This map shows the geographic impact of Mahito Noro'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 Mahito Noro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mahito Noro more than expected).
Fields of papers citing papers by Mahito Noro
This network shows the impact of papers produced by Mahito Noro. 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 Mahito Noro. The network helps show where Mahito Noro may publish in the future.
Co-authorship network of co-authors of Mahito Noro
This figure shows the co-authorship network connecting the top 25 collaborators of Mahito Noro. A scholar is included among the top collaborators of Mahito Noro 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 Mahito Noro. Mahito Noro 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 | 1 | |
| 3 | 20 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 8 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 7 | |
| 10 | 2 | |
| 11 | 8 | |
| 12 | Investigation about the function of the autonomic nervous system on Great Eastern-Japan Earthquake | 1 |
| 13 | 0 | |
| 14 | 0 | |
| 15 | 3 | |
| 16 | 1 | |
| 17 | Comparison of Various Prognostic Valuables Including T-Wave Alternans in Predicting Arrhythmic Events During Long-Term Follow-up After Myocardial Infarction | 1 |
| 18 | 165 | |
| 19 | 5 | |
| 20 | 149 |
About Mahito Noro
Mahito Noro is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Geriatrics and Gerontology, having authored 57 papers that have together received 610 indexed citations. Recurring topics across this work include Cardiac Arrhythmias and Treatments (26 papers), Cardiac electrophysiology and arrhythmias (22 papers) and Atrial Fibrillation Management and Outcomes (19 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (572 citations), Molecular Biology (165 citations) and Internal Medicine (8 citations). Mahito Noro has collaborated with scholars based in Japan, United States and Austria. Frequent co-authors include Kaoru Sugi, Takanori Ikeda, Takao Sakata, Mitsuaki Takami, Tetsu Yamaguchi, Takeshi Nakae, Yoshihisa Enjoji, Naoki Tezuka, Keijiro Nakamura and Koichi Sakabe. Their work appears in journals such as Journal of the American College of Cardiology, Journal of Hypertension and Ultrasound in Medicine & Biology.
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.