Jamie I. Vandenberg
- Molecular Biology top 1%
- Cardiology and Cardiovascular Medicine top 0.5%
- Cellular and Molecular Neuroscience top 1%
- Pathology and Forensic Medicine top 5%
- Computational Theory and Mathematics top 2%
- Co-authors
- Adam P. HillTerence J. CampbellMatthew PerryStefan A. MannMark J. PerrinYing KeAndrew A. GracePhilip W. Kuchel
- Topics
- Cardiac electrophysiology and arrhythmias (133 papers)Ion channel regulation and function (104 papers)Receptor Mechanisms and Signaling (30 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Jamie I. Vandenberg
155 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Molecular Biology 4.3k
- Cardiology and Cardiovascular Medicine 4.0k
- Cellular and Molecular Neuroscience 1.3k
- Pathology and Forensic Medicine 264
- Computational Theory and Mathematics 199
Countries citing papers authored by Jamie I. Vandenberg
This map shows the geographic impact of Jamie I. Vandenberg'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 Jamie I. Vandenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jamie I. Vandenberg more than expected).
Fields of papers citing papers by Jamie I. Vandenberg
This network shows the impact of papers produced by Jamie I. Vandenberg. 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 Jamie I. Vandenberg. The network helps show where Jamie I. Vandenberg may publish in the future.
Co-authorship network of co-authors of Jamie I. Vandenberg
This figure shows the co-authorship network connecting the top 25 collaborators of Jamie I. Vandenberg. A scholar is included among the top collaborators of Jamie I. Vandenberg 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 Jamie I. Vandenberg. Jamie I. Vandenberg 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 | 1 | |
| 4 | 3 | |
| 5 | 10 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 11 | |
| 9 | 47 | |
| 10 | 21 | |
| 11 | 83 | |
| 12 | 71 | |
| 13 | 3 | |
| 14 | 2 | |
| 15 | 36 | |
| 16 | 47 | |
| 17 | 107 | |
| 18 | 112 | |
| 19 | 31 | |
| 20 | 47 |
About Jamie I. Vandenberg
Jamie I. Vandenberg is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cellular and Molecular Neuroscience, having authored 160 papers that have together received 5.6k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (133 papers), Ion channel regulation and function (104 papers) and Receptor Mechanisms and Signaling (30 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (4.0k citations), Cellular and Molecular Neuroscience (1.3k citations) and Molecular Biology (4.3k citations). Jamie I. Vandenberg has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Adam P. Hill, Terence J. Campbell, Matthew Perry, Stefan A. Mann, Mark J. Perrin, Ying Ke, Andrew A. Grace, Philip W. Kuchel, Bruce D. Walker and Christopher Huang. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.