Alexander Peikert
- Cardiology and Cardiovascular Medicine
- Endocrinology, Diabetes and Metabolism
- Physiology top 10%
- Surgery
- Molecular Biology
- Co-authors
- Scott D. SolomonBrian ClaggettPeter StachonAndreas ZirlikJohn J.V. McMurrayDennis WolfMuthiah VaduganathanConstantin von zur Mühlen
- Topics
- Cardiovascular Function and Risk Factors (8 papers)Heart Failure Treatment and Management (8 papers)Influenza Virus Research Studies (4 papers)
- Partner nations
- United StatesAustriaGermany
In The Last Decade
Alexander Peikert
17 papers receiving 234 citations
Hit Papers
Peers
Comparison fields: 5 of 54
- Cardiology and Cardiovascular Medicine 133
- Endocrinology, Diabetes and Metabolism 50
- Physiology 37
- Surgery 36
- Molecular Biology 36
Countries citing papers authored by Alexander Peikert
This map shows the geographic impact of Alexander Peikert'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 Alexander Peikert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Peikert more than expected).
Fields of papers citing papers by Alexander Peikert
This network shows the impact of papers produced by Alexander Peikert. 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 Alexander Peikert. The network helps show where Alexander Peikert may publish in the future.
Co-authorship network of co-authors of Alexander Peikert
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Peikert. A scholar is included among the top collaborators of Alexander Peikert 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 Alexander Peikert. Alexander Peikert 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 | Near-universal prevalence of central adiposity in heart failure with preserved ejection fraction: the PARAGON-HF trialbreakdown → | 35 |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 9 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 13 | |
| 11 | 21 | |
| 12 | 19 | |
| 13 | 2 | |
| 14 | 21 | |
| 15 | 2 | |
| 16 | 0 | |
| 17 | 2 | |
| 18 | 43 | |
| 19 | 52 | |
| 20 | 4 |
About Alexander Peikert
Alexander Peikert is a scholar working on Cardiology and Cardiovascular Medicine, Physiology and Endocrinology, Diabetes and Metabolism, having authored 20 papers that have together received 237 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (8 papers), Heart Failure Treatment and Management (8 papers) and Influenza Virus Research Studies (4 papers). The work is most often cited by research in Physiology (37 citations), Cardiology and Cardiovascular Medicine (133 citations) and Endocrinology, Diabetes and Metabolism (50 citations). Alexander Peikert has collaborated with scholars based in United States, Austria and Germany. Frequent co-authors include Scott D. Solomon, Brian Claggett, Peter Stachon, Andreas Zirlik, John J.V. McMurray, Dennis Wolf, Muthiah Vaduganathan, Constantin von zur Mühlen, Bianca Dufner and Akshay S. Desai. Their work appears in journals such as Circulation, European Heart Journal and Arteriosclerosis Thrombosis and Vascular 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.