Mitsunori Maruyama

2.6k citations
74 papers · 1.6k indexed · h-index 19

Mitsunori Maruyama

72 papers receiving 1.5k citations

Peers

Mitsunori Maruyama
Comparison fields: 5 of 78
  • Cardiology and Cardiovascular Medicine 1.4k
  • Neurology 112
  • Molecular Biology 562
  • Cellular and Molecular Neuroscience 143
  • Orthopedics and Sports Medicine 40
Replace Takeshi Ueyama with:
Takeshi Ueyama Japan
Tetsuji Shinohara Japan
Anton E. Tuinenburg Netherlands
Jan Němec United States
Manish Kalla United Kingdom
Mark S. Wathen United States
Keita Saku Japan
Cinzia Forleo Italy
H. J. Ballard Hong Kong
C. Barrès France
Mitsunori Maruyama relative to Takeshi Ueyama Japan Takeshi Ueyama's profile →
Citations per field
00.5×3.3×
Takeshi Ueyama · 1×
Citations per year

Countries citing papers authored by Mitsunori Maruyama

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Mitsunori Maruyama, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mitsunori Maruyama Line = papers co-authored together Mitsunori Maruyama links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20221
2 20223
3 20221
4 202116
5 202112
6 20197
7 20185
8 20171
9 201411
10 201415
11
Apamin-Sensitive Calcium-Activated Potassium Currents in Rabbit Ventricles with Chronic Myocardial Infarction
20131
12 20126
13 2012106
14 201143
15 201191
16 201019
17 20099
18 20065
19 200313
20 200246

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), Atrial Fibrillation Management and Outcomes (32 papers), Ion channel regulation and function (20 papers), Cardiac pacing and defibrillation studies (17 papers), Cardiovascular Function and Risk Factors (5 papers), Cardiovascular Effects of Exercise (4 papers) and Diabetes Treatment and Management (4 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.

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