Elena Zvaritch
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Cell Biology top 5%
- Cellular and Molecular Neuroscience top 10%
- Immunology
- Co-authors
- David H. MacLennanKarl-Heinz KrauseMarek MichalakMichał OpasNasrin MesaeliPeter DickieKimitoshi NakamuraEwa Dziak
- Topics
- Ion channel regulation and function (15 papers)Cardiac electrophysiology and arrhythmias (8 papers)Genetic Neurodegenerative Diseases (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Cell Biology
- Partner nations
- CanadaUnited StatesSwitzerland
In The Last Decade
Elena Zvaritch
24 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 93
- Molecular Biology 998
- Cardiology and Cardiovascular Medicine 374
- Cell Biology 338
- Cellular and Molecular Neuroscience 196
- Immunology 135
Countries citing papers authored by Elena Zvaritch
This map shows the geographic impact of Elena Zvaritch'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 Elena Zvaritch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elena Zvaritch more than expected).
Fields of papers citing papers by Elena Zvaritch
This network shows the impact of papers produced by Elena Zvaritch. 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 Elena Zvaritch. The network helps show where Elena Zvaritch may publish in the future.
Co-authorship network of co-authors of Elena Zvaritch
This figure shows the co-authorship network connecting the top 25 collaborators of Elena Zvaritch. A scholar is included among the top collaborators of Elena Zvaritch 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 Elena Zvaritch. Elena Zvaritch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 16 | |
| 4 | 5 | |
| 5 | 20 | |
| 6 | 21 | |
| 7 | 22 | |
| 8 | 87 | |
| 9 | 65 | |
| 10 | 52 | |
| 11 | 62 | |
| 12 | 64 | |
| 13 | 73 | |
| 14 | 114 | |
| 15 | 19 | |
| 16 | 15 | |
| 17 | 58 | |
| 18 | 101 | |
| 19 | Elucidation of conservative elements of calmodulin-dependent enzymes with the use of monoclonal antibodies. | 1 |
| 20 | 25 |
About Elena Zvaritch
Elena Zvaritch is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include Ion channel regulation and function (15 papers), Cardiac electrophysiology and arrhythmias (8 papers) and Genetic Neurodegenerative Diseases (5 papers). The work is most often cited by research in Cell Biology (338 citations), Cardiology and Cardiovascular Medicine (374 citations) and Molecular Biology (998 citations). Elena Zvaritch has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include David H. MacLennan, Karl-Heinz Krause, Marek Michalak, Michał Opas, Nasrin Mesaeli, Peter Dickie, Kimitoshi Nakamura, Ewa Dziak, Gérard Lambeau and Michel Lazdunski. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.
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.