Jeffrey R. Erickson
- Molecular Biology top 5%
- Cardiology and Cardiovascular Medicine top 2%
- Physiology top 10%
- Cellular and Molecular Neuroscience top 10%
- Pathology and Forensic Medicine top 10%
- Co-authors
- Mark E. AndersonDonald M. BersLaëtitia PereiraCarmine V. OddisMei-ling A. JoinerRobert M. WeissAmy‐Joan L. HamMatthew C. Zimmerman
- Topics
- Cardiac electrophysiology and arrhythmias (15 papers)Ion channel regulation and function (11 papers)Cardiovascular Function and Risk Factors (10 papers)
- Partner nations
- New ZealandUnited StatesAustralia
In The Last Decade
Jeffrey R. Erickson
38 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Molecular Biology 1.6k
- Cardiology and Cardiovascular Medicine 1.2k
- Physiology 299
- Cellular and Molecular Neuroscience 227
- Pathology and Forensic Medicine 218
Countries citing papers authored by Jeffrey R. Erickson
This map shows the geographic impact of Jeffrey R. Erickson'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 Jeffrey R. Erickson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey R. Erickson more than expected).
Fields of papers citing papers by Jeffrey R. Erickson
This network shows the impact of papers produced by Jeffrey R. Erickson. 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 Jeffrey R. Erickson. The network helps show where Jeffrey R. Erickson may publish in the future.
Co-authorship network of co-authors of Jeffrey R. Erickson
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey R. Erickson. A scholar is included among the top collaborators of Jeffrey R. Erickson 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 Jeffrey R. Erickson. Jeffrey R. Erickson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 7 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 45 | |
| 6 | 66 | |
| 7 | 15 | |
| 8 | 32 | |
| 9 | 39 | |
| 10 | 20 | |
| 11 | 10 | |
| 12 | 63 | |
| 13 | 73 | |
| 14 | 29 | |
| 15 | Diabetic hyperglycaemia activates CaMKII and arrhythmias by O-linked glycosylationbreakdown → | 467 |
| 16 | 2 | |
| 17 | A Dynamic Pathway for Calcium-Independent Activation of CaMKII by Methionine Oxidationbreakdown → | 881 |
| 18 | 14 | |
| 19 | 22 | |
| 20 | 3 |
About Jeffrey R. Erickson
Jeffrey R. Erickson is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Biophysics, having authored 39 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (15 papers), Ion channel regulation and function (11 papers) and Cardiovascular Function and Risk Factors (10 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.2k citations), Molecular Biology (1.6k citations) and Cellular and Molecular Neuroscience (227 citations). Jeffrey R. Erickson has collaborated with scholars based in New Zealand, United States and Australia. Frequent co-authors include Mark E. Anderson, Donald M. Bers, Laëtitia Pereira, Carmine V. Oddis, Mei-ling A. Joiner, Robert M. Weiss, Amy‐Joan L. Ham, Matthew C. Zimmerman, William Kutschke and Peter J. Mohler. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.