Alexander Peikert
- Physiology top 10%
- Adenosine and Purinergic Signaling 2
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- Cardiovascular Function and Risk Factors 8
- Heart Failure Treatment and Management 8
- Acute Myocardial Infarction Research 4
- Viral Infections and Immunology Research 2
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- Diabetes Treatment and Management 3
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- Influenza Virus Research Studies 4
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- SARS-CoV-2 and COVID-19 Research 1
- Co-authors
- Scott D. SolomonBrian ClaggettPeter StachonAndreas ZirlikJohn J.V. McMurrayDennis WolfMuthiah VaduganathanConstantin von zur Mühlen
- Journals
- Circulation (1 paper)European Heart Journal (2 papers)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)
- Partner nations
- United StatesAustriaGermany
In The Last Decade
Alexander Peikert
17 papers receiving 234 citations
Hit Papers
Peers
Comparison fields: 5 of 54
- Physiology 37
- Cardiology and Cardiovascular Medicine 133
- Endocrinology, Diabetes and Metabolism 50
- Immunology 25
- Nephrology 7
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
The 25 scholars most cited alongside Alexander Peikert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2026 | 0 | |
| 2 | 2025 | 1 | |
| 3 | Near-universal prevalence of central adiposity in heart failure with preserved ejection fraction: the PARAGON-HF trialbreakdown → | 2025 | 35 |
| 4 | 2024 | 5 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 9 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 5 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 13 | |
| 11 | 2023 | 21 | |
| 12 | 2022 | 19 | |
| 13 | 2022 | 2 | |
| 14 | 2022 | 21 | |
| 15 | 2021 | 2 | |
| 16 | 2021 | 0 | |
| 17 | 2021 | 2 | |
| 18 | 2019 | 43 | |
| 19 | 2014 | 52 | |
| 20 | 2014 | 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), Influenza Virus Research Studies (4 papers), Acute Myocardial Infarction Research (4 papers), Diabetes Treatment and Management (3 papers), Adenosine and Purinergic Signaling (2 papers), Viral Infections and Immunology Research (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). 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.