Akinori Noma
- Molecular Biology top 0.5%
- Cardiology and Cardiovascular Medicine top 0.1%
- Cellular and Molecular Neuroscience top 0.1%
- Pathology and Forensic Medicine top 0.2%
- Emergency Medicine top 0.5%
- Co-authors
- Hiroshi IrisawaJunko KimuraW. TrautweinSatoshi MatsuokaT ShibasakiTamotsu MitsuiyeMakoto TakanoMichimasa Soejima
- Topics
- Cardiac electrophysiology and arrhythmias (146 papers)Ion channel regulation and function (121 papers)Neuroscience and Neural Engineering (83 papers)
- Cited by
- Cardiology and Cardiovascular MedicineCellular and Molecular NeurosciencePathology and Forensic Medicine
- Partner nations
- JapanUnited KingdomSouth Korea
In The Last Decade
Akinori Noma
191 papers receiving 11.1k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Molecular Biology 8.7k
- Cardiology and Cardiovascular Medicine 7.3k
- Cellular and Molecular Neuroscience 5.3k
- Pathology and Forensic Medicine 2.3k
- Emergency Medicine 670
Countries citing papers authored by Akinori Noma
This map shows the geographic impact of Akinori Noma'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 Akinori Noma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akinori Noma more than expected).
Fields of papers citing papers by Akinori Noma
This network shows the impact of papers produced by Akinori Noma. 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 Akinori Noma. The network helps show where Akinori Noma may publish in the future.
Co-authorship network of co-authors of Akinori Noma
This figure shows the co-authorship network connecting the top 25 collaborators of Akinori Noma. A scholar is included among the top collaborators of Akinori Noma 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 Akinori Noma. Akinori Noma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 42 | |
| 3 | 15 | |
| 4 | Control-release of MMP-1 plasmid DNA improved contractility and Na/Ca exchange of cardiomyocytes isolated from rat chronic myocardial infarction heart | 11 |
| 5 | 12 | |
| 6 | 1 | |
| 7 | 28 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 11 | |
| 12 | 8 | |
| 13 | 277 | |
| 14 | 10 | |
| 15 | 12 | |
| 16 | 13 | |
| 17 | 10 | |
| 18 | 15 | |
| 19 | 18 | |
| 20 | ADENOSINE TRIPHOSPHATE-REGULATED POTASSIUM CHANNELS IN GUINEA-PIG VENTRICULAR CELLS | 1 |
About Akinori Noma
Akinori Noma is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Electrochemistry, having authored 191 papers that have together received 11.7k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (146 papers), Ion channel regulation and function (121 papers) and Neuroscience and Neural Engineering (83 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (7.3k citations), Cellular and Molecular Neuroscience (5.3k citations) and Pathology and Forensic Medicine (2.3k citations). Akinori Noma has collaborated with scholars based in Japan, United Kingdom and South Korea. Frequent co-authors include Hiroshi Irisawa, Junko Kimura, W. Trautwein, Satoshi Matsuoka, T Shibasaki, Tamotsu Mitsuiye, Makoto Takano, Michimasa Soejima, Shun‐ichi Miyamae and Kyoichi Ono. Their work appears in journals such as Nature, Journal of Biological Chemistry and Circulation.
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.