Mitsunori Maruyama
- Cardiology and Cardiovascular Medicine top 1%
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Surgery
- Neurology top 10%
- Co-authors
- Peng‐Sheng ChenShien‐Fong LinSeongwook HanTetsuji ShinoharaMark J. ShenChangyu ShenMichael C. FishbeinBoyoung Joung
- Topics
- Cardiac electrophysiology and arrhythmias (50 papers)Cardiac Arrhythmias and Treatments (46 papers)Atrial Fibrillation Management and Outcomes (32 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Mitsunori Maruyama
72 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 78
- Cardiology and Cardiovascular Medicine 1.4k
- Molecular Biology 562
- Cellular and Molecular Neuroscience 143
- Surgery 131
- Neurology 112
Countries citing papers authored by Mitsunori Maruyama
This map shows the geographic impact of Mitsunori Maruyama'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 Mitsunori Maruyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsunori Maruyama more than expected).
Fields of papers citing papers by Mitsunori Maruyama
This network shows the impact of papers produced by Mitsunori Maruyama. 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 Mitsunori Maruyama. The network helps show where Mitsunori Maruyama may publish in the future.
Co-authorship network of co-authors of Mitsunori Maruyama
This figure shows the co-authorship network connecting the top 25 collaborators of Mitsunori Maruyama. A scholar is included among the top collaborators of Mitsunori Maruyama 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 Mitsunori Maruyama. Mitsunori Maruyama 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 | 3 | |
| 3 | 1 | |
| 4 | 16 | |
| 5 | 12 | |
| 6 | 7 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 11 | |
| 10 | 15 | |
| 11 | Apamin-Sensitive Calcium-Activated Potassium Currents in Rabbit Ventricles with Chronic Myocardial Infarction | 1 |
| 12 | 6 | |
| 13 | 106 | |
| 14 | 43 | |
| 15 | 91 | |
| 16 | 19 | |
| 17 | 9 | |
| 18 | 5 | |
| 19 | 13 | |
| 20 | 46 |
About Mitsunori Maruyama
Mitsunori Maruyama is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Geriatrics and Gerontology, having authored 74 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (50 papers), Cardiac Arrhythmias and Treatments (46 papers) and Atrial Fibrillation Management and Outcomes (32 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.4k citations), Neurology (112 citations) and Molecular Biology (562 citations). Mitsunori Maruyama has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Peng‐Sheng Chen, Shien‐Fong Lin, Seongwook Han, Tetsuji Shinohara, Mark J. Shen, Changyu Shen, Michael C. Fishbein, Boyoung Joung, Hirotsugu Atarashi and Takeshi Ino. Their work appears in journals such as Circulation, Journal of the American College of Cardiology 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.