Akito Eguchi
Impact in
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- Cardiac electrophysiology and arrhythmias
- Cardiac Fibrosis and Remodeling
- Cardiovascular Function and Risk Factors
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- Receptor Mechanisms and Signaling
- Ion channel regulation and function
- Signaling Pathways in Disease
Papers in
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- Signaling Pathways in Disease 2
- Receptor Mechanisms and Signaling 2
- Ion channel regulation and function 1
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- Cardiac electrophysiology and arrhythmias 2
- Cardiac Fibrosis and Remodeling 2
- Heart Failure Treatment and Management 1
- Co-authors
- Walter J. Koch (5 shared papers)Claudio de Lucia (1 shared paper)Jessica Ibetti (3 shared papers)Erhe Gao (1 shared paper)J. Kurt Chuprun (2 shared papers)Kenneth S. Gresham (2 shared papers)Giuseppe Rengo (1 shared paper)Daniela Liccardo (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Frontiers in Pharmacology (1 paper)Science Signaling (1 paper)Nature Communications (1 paper)Atherosclerosis (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Akito Eguchi
6 papers receiving 335 citations
Peers
Comparison fields: 5 of 68
- Cardiology and Cardiovascular Medicine 169
- Molecular Biology 217
- Cellular and Molecular Neuroscience 45
- Endocrinology, Diabetes and Metabolism 41
- Complementary and alternative medicine 15
Countries citing papers authored by Akito Eguchi
This map shows the geographic impact of Akito Eguchi'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 Akito Eguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akito Eguchi more than expected).
Fields of papers citing papers by Akito Eguchi
This network shows the impact of papers produced by Akito Eguchi. 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 Akito Eguchi. The network helps show where Akito Eguchi may publish in the future.
Co-authors
The 25 scholars most cited alongside Akito Eguchi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 211 | |
| 2 | 2016 | 51 | |
| 3 | 2021 | 40 | |
| 4 | 2019 | 21 | |
| 5 | 2021 | 8 | |
| 6 | 2013 | 6 |
About Akito Eguchi
Akito Eguchi is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery, Pathology and Forensic Medicine and Endocrinology, Diabetes and Metabolism, having authored 6 papers that have together received 337 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (2 papers), Signaling Pathways in Disease (2 papers), Cardiac Fibrosis and Remodeling (2 papers), Receptor Mechanisms and Signaling (2 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (1 paper), Ion channel regulation and function (1 paper), Heart Failure Treatment and Management (1 paper) and Adipose Tissue and Metabolism (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (169 citations), Molecular Biology (217 citations), Cellular and Molecular Neuroscience (45 citations), Endocrinology, Diabetes and Metabolism (41 citations) and Complementary and alternative medicine (15 citations). Akito Eguchi has collaborated with scholars based in United States and Italy. Frequent co-authors include Walter J. Koch, Claudio de Lucia, Jessica Ibetti, Erhe Gao, J. Kurt Chuprun, Kenneth S. Gresham, Giuseppe Rengo, Daniela Liccardo, Katherine J. Elliott and Dario Leosco. Their work appears in journals such as Proceedings of the National Academy of Sciences, Frontiers in Pharmacology, Science Signaling, Nature Communications and Atherosclerosis.
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.