Peter K. S. Siegl
- Cardiology and Cardiovascular Medicine top 0.5%
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 2%
- Organic Chemistry top 5%
- Physiology top 10%
- Co-authors
- Alice DavisRussell WallisW. G. LynchIan C. MackenzieLeif CarlssonMichael C. SanguinettiVictor J. LottiGregory J. Kaczorowski
- Topics
- Receptor Mechanisms and Signaling (34 papers)Cardiac electrophysiology and arrhythmias (20 papers)Renin-Angiotensin System Studies (20 papers)
- Partner nations
- United StatesGermanyAustria
In The Last Decade
Peter K. S. Siegl
99 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Cardiology and Cardiovascular Medicine 2.4k
- Molecular Biology 2.3k
- Cellular and Molecular Neuroscience 754
- Organic Chemistry 354
- Physiology 304
Countries citing papers authored by Peter K. S. Siegl
This map shows the geographic impact of Peter K. S. Siegl'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 Peter K. S. Siegl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter K. S. Siegl more than expected).
Fields of papers citing papers by Peter K. S. Siegl
This network shows the impact of papers produced by Peter K. S. Siegl. 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 Peter K. S. Siegl. The network helps show where Peter K. S. Siegl may publish in the future.
Co-authorship network of co-authors of Peter K. S. Siegl
This figure shows the co-authorship network connecting the top 25 collaborators of Peter K. S. Siegl. A scholar is included among the top collaborators of Peter K. S. Siegl 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 Peter K. S. Siegl. Peter K. S. Siegl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 139 | |
| 2 | 8 | |
| 3 | 2 | |
| 4 | 41 | |
| 5 | Relationships between preclinical cardiac electrophysiology, clinical QT interval prolongation and torsade de pointes for a broad range of drugs: evidence for a provisional safety margin in drug developmentbreakdown → | 1186 |
| 6 | 16 | |
| 7 | 27 | |
| 8 | 3 | |
| 9 | 14 | |
| 10 | 38 | |
| 11 | 21 | |
| 12 | 24 | |
| 13 | 11 | |
| 14 | 31 | |
| 15 | 40 | |
| 16 | 242 | |
| 17 | 3 | |
| 18 | 52 | |
| 19 | 90 | |
| 20 | 18 |
About Peter K. S. Siegl
Peter K. S. Siegl is a scholar working on Complementary and Manual Therapy, Cardiology and Cardiovascular Medicine and Orthodontics, having authored 100 papers that have together received 4.0k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (34 papers), Cardiac electrophysiology and arrhythmias (20 papers) and Renin-Angiotensin System Studies (20 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.4k citations), Cellular and Molecular Neuroscience (754 citations) and Molecular Biology (2.3k citations). Peter K. S. Siegl has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Alice Davis, Russell Wallis, W. G. Lynch, Ian C. Mackenzie, Leif Carlsson, Michael C. Sanguinetti, Victor J. Lotti, Gregory J. Kaczorowski, Gloria J. Zingaro and Nancy K. Jurkiewicz. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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.