Leighton T. Izu
- Molecular Biology top 5%
- Cardiology and Cardiovascular Medicine top 1%
- Cellular and Molecular Neuroscience top 5%
- Surgery
- Biomedical Engineering
- Co-authors
- Ye Chen‐IzuC. William BalkeTamás BányászW. Gil WierZhong JianDeepa JonnalagaddaSidney W. WhiteheartDonald M. Bers
- Topics
- Cardiac electrophysiology and arrhythmias (48 papers)Ion channel regulation and function (41 papers)Neuroscience and Neural Engineering (16 papers)
- Journals
- Proceedings of the National Academy of SciencesCirculationSHILAP Revista de lepidopterología
- Partner nations
- United StatesHungaryJapan
In The Last Decade
Leighton T. Izu
71 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 128
- Molecular Biology 1.5k
- Cardiology and Cardiovascular Medicine 1.5k
- Cellular and Molecular Neuroscience 620
- Surgery 142
- Biomedical Engineering 131
Countries citing papers authored by Leighton T. Izu
This map shows the geographic impact of Leighton T. Izu'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 Leighton T. Izu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leighton T. Izu more than expected).
Fields of papers citing papers by Leighton T. Izu
This network shows the impact of papers produced by Leighton T. Izu. 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 Leighton T. Izu. The network helps show where Leighton T. Izu may publish in the future.
Co-authorship network of co-authors of Leighton T. Izu
This figure shows the co-authorship network connecting the top 25 collaborators of Leighton T. Izu. A scholar is included among the top collaborators of Leighton T. Izu 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 Leighton T. Izu. Leighton T. Izu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 9 | |
| 5 | 5 | |
| 6 | 21 | |
| 7 | 17 | |
| 8 | 32 | |
| 9 | 69 | |
| 10 | 18 | |
| 11 | 71 | |
| 12 | 1 | |
| 13 | 30 | |
| 14 | 7 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 30 | |
| 18 | 71 | |
| 19 | Theoretical analysis of the Ca2+ spark amplitude distribution. | 0 |
| 20 | 5 |
About Leighton T. Izu
Leighton T. Izu is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Molecular Biology, having authored 72 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (48 papers), Ion channel regulation and function (41 papers) and Neuroscience and Neural Engineering (16 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.5k citations), Cellular and Molecular Neuroscience (620 citations) and Molecular Biology (1.5k citations). Leighton T. Izu has collaborated with scholars based in United States, Hungary and Japan. Frequent co-authors include Ye Chen‐Izu, C. William Balke, Tamás Bányász, W. Gil Wier, Zhong Jian, Deepa Jonnalagadda, Sidney W. Whiteheart, Donald M. Bers, Bence Hegyi and Stacey L. McCulle. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and SHILAP Revista de lepidopterología.
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.