Elizabeth M. Cherry
- Cardiology and Cardiovascular Medicine top 0.5%
- Molecular Biology top 10%
- Statistical and Nonlinear Physics top 1%
- Computer Networks and Communications top 2%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Flavio H. FentonRobert F. GilmourAlfonso Bueno‐OrovioStefan LutherSteven J. EvansFrank B. SachseGunnar SeemannAlessio Gizzi
- Topics
- Cardiac electrophysiology and arrhythmias (68 papers)Ion channel regulation and function (19 papers)ECG Monitoring and Analysis (14 papers)
- Cited by
- Cardiology and Cardiovascular MedicineStatistical and Nonlinear PhysicsCellular and Molecular Neuroscience
- Partner nations
- United StatesGermanyBrazil
In The Last Decade
Elizabeth M. Cherry
96 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 155
- Cardiology and Cardiovascular Medicine 2.3k
- Molecular Biology 965
- Statistical and Nonlinear Physics 549
- Computer Networks and Communications 526
- Cellular and Molecular Neuroscience 456
Countries citing papers authored by Elizabeth M. Cherry
This map shows the geographic impact of Elizabeth M. Cherry'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 Elizabeth M. Cherry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elizabeth M. Cherry more than expected).
Fields of papers citing papers by Elizabeth M. Cherry
This network shows the impact of papers produced by Elizabeth M. Cherry. 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 Elizabeth M. Cherry. The network helps show where Elizabeth M. Cherry may publish in the future.
Co-authorship network of co-authors of Elizabeth M. Cherry
This figure shows the co-authorship network connecting the top 25 collaborators of Elizabeth M. Cherry. A scholar is included among the top collaborators of Elizabeth M. Cherry 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 Elizabeth M. Cherry. Elizabeth M. Cherry 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 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 56 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 10 | |
| 13 | 31 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 5 | |
| 19 | Validation of a computational model of cardiac defibrillation | 4 |
| 20 | 53 |
About Elizabeth M. Cherry
Elizabeth M. Cherry is a scholar working on Cardiology and Cardiovascular Medicine, Family Practice and Biophysics, having authored 101 papers that have together received 3.4k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (68 papers), Ion channel regulation and function (19 papers) and ECG Monitoring and Analysis (14 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.3k citations), Statistical and Nonlinear Physics (549 citations) and Cellular and Molecular Neuroscience (456 citations). Elizabeth M. Cherry has collaborated with scholars based in United States, Germany and Brazil. Frequent co-authors include Flavio H. Fenton, Robert F. Gilmour, Alfonso Bueno‐Orovio, Stefan Luther, Steven J. Evans, Frank B. Sachse, Gunnar Seemann, Alessio Gizzi, Simonetta Filippi and Alexander V. Panfilov. Their work appears in journals such as Nature, Physical Review Letters 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.