John Koerner
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- Cardiac electrophysiology and arrhythmias 24
- Cardiac pacing and defibrillation studies 3
- Small Animals top 5%
- Animal testing and alternatives 4
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- Neuroscience and Neural Engineering 3
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- Ion channel regulation and function 9
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- Cardiac Ischemia and Reperfusion 4
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- Cardiac Imaging and Diagnostics 3
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- Statistical Methods in Clinical Trials 3
- Co-authors
- Syril PettitJean‐Pierre ValentinRichard C. DageSteven N. EbertAlexander N. KatchmanRaymond L. WoosleyMichael K. PugsleyBarbara A. Anderson
- Journals
- Journal of Cardiovascular Pharmacology (4 papers)Clinical Pharmacology & Therapeutics (2 papers)Frontiers in Pharmacology (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
John Koerner
33 papers receiving 712 citations
Peers
Comparison fields: 5 of 83
- Cardiology and Cardiovascular Medicine 505
- Small Animals 69
- Cellular and Molecular Neuroscience 96
- Computational Theory and Mathematics 81
- Molecular Biology 347
Countries citing papers authored by John Koerner
This map shows the geographic impact of John Koerner'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 John Koerner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Koerner more than expected).
Fields of papers citing papers by John Koerner
This network shows the impact of papers produced by John Koerner. 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 John Koerner. The network helps show where John Koerner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John Koerner, 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 | 2024 | 5 | |
| 2 | 2022 | 26 | |
| 3 | 2019 | 16 | |
| 4 | 2019 | 36 | |
| 5 | 2018 | 4 | |
| 6 | 2018 | 3 | |
| 7 | 2017 | 50 | |
| 8 | 2017 | 10 | |
| 9 | 2017 | 26 | |
| 10 | 2015 | 5 | |
| 11 | 2015 | 38 | |
| 12 | 2015 | 7 | |
| 13 | 2013 | 21 | |
| 14 | 2011 | 49 | |
| 15 | 2009 | 32 | |
| 16 | 2006 | 116 | |
| 17 | 1991 | 46 | |
| 18 | 1991 | 21 | |
| 19 | 1990 | 3 | |
| 20 | 1990 | 4 |
About John Koerner
John Koerner is a scholar working on Cardiology and Cardiovascular Medicine, Small Animals, Statistics and Probability, Toxicology and Pathology and Forensic Medicine, having authored 33 papers that have together received 753 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (24 papers), Ion channel regulation and function (9 papers), Animal testing and alternatives (4 papers), Cardiac Ischemia and Reperfusion (4 papers), Cardiac pacing and defibrillation studies (3 papers), Cardiac Imaging and Diagnostics (3 papers), Neuroscience and Neural Engineering (3 papers) and Statistical Methods in Clinical Trials (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (505 citations), Small Animals (69 citations), Cellular and Molecular Neuroscience (96 citations), Computational Theory and Mathematics (81 citations) and Molecular Biology (347 citations). John Koerner has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Syril Pettit, Jean‐Pierre Valentin, Richard C. Dage, Steven N. Ebert, Alexander N. Katchman, Raymond L. Woosley, Michael K. Pugsley, Barbara A. Anderson, Jennifer Pierson and Brian D. Guth. Their work appears in journals such as Journal of Cardiovascular Pharmacology, Clinical Pharmacology & Therapeutics, Frontiers in Pharmacology, British Journal of Pharmacology and Journal of Pharmacological and Toxicological Methods.
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.