Kenichi Imahashi
- Molecular Biology top 10%
- Pathology and Forensic Medicine top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Emergency Medicine top 5%
- Physiology
- Co-authors
- Elizabeth MurphyCharles SteenbergenHaiyan TongMichael SchneiderJun YoshiokaHideo KusuokaTsunehiko NishimuraKatsuji Hashimoto
- Topics
- Cardiac Ischemia and Reperfusion (9 papers)Cardiac electrophysiology and arrhythmias (6 papers)Pluripotent Stem Cells Research (4 papers)
- Cited by
- Pathology and Forensic MedicineDevelopmental NeuroscienceCardiology and Cardiovascular Medicine
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Kenichi Imahashi
21 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 86
- Molecular Biology 888
- Pathology and Forensic Medicine 578
- Cardiology and Cardiovascular Medicine 507
- Emergency Medicine 188
- Physiology 180
Countries citing papers authored by Kenichi Imahashi
This map shows the geographic impact of Kenichi Imahashi'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 Kenichi Imahashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenichi Imahashi more than expected).
Fields of papers citing papers by Kenichi Imahashi
This network shows the impact of papers produced by Kenichi Imahashi. 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 Kenichi Imahashi. The network helps show where Kenichi Imahashi may publish in the future.
Co-authorship network of co-authors of Kenichi Imahashi
This figure shows the co-authorship network connecting the top 25 collaborators of Kenichi Imahashi. A scholar is included among the top collaborators of Kenichi Imahashi 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 Kenichi Imahashi. Kenichi Imahashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 41 | |
| 5 | 14 | |
| 6 | 5 | |
| 7 | 20 | |
| 8 | 7 | |
| 9 | 214 | |
| 10 | 44 | |
| 11 | 137 | |
| 12 | 21 | |
| 13 | 167 | |
| 14 | 219 | |
| 15 | 313 | |
| 16 | 2 | |
| 17 | 3 | |
| 18 | 23 | |
| 19 | 137 | |
| 20 | 22 |
About Kenichi Imahashi
Kenichi Imahashi is a scholar working on Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (9 papers), Cardiac electrophysiology and arrhythmias (6 papers) and Pluripotent Stem Cells Research (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (578 citations), Developmental Neuroscience (96 citations) and Cardiology and Cardiovascular Medicine (507 citations). Kenichi Imahashi has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Elizabeth Murphy, Charles Steenbergen, Haiyan Tong, Michael Schneider, Jun Yoshioka, Hideo Kusuoka, Tsunehiko Nishimura, Katsuji Hashimoto, Hitoshi Yamaguchi and Catherine R. Dufour. Their work appears in journals such as Circulation, Circulation Research and Cell Metabolism.
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.