Jay C. Koons
Impact in
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- Atrial Fibrillation Management and Outcomes
- Cardiac pacing and defibrillation studies
- Antiplatelet Therapy and Cardiovascular Diseases
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- Medication Adherence and Compliance
Papers in
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- Alkaloids: synthesis and pharmacology 3
- Pharmacogenetics and Drug Metabolism 3
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- Atrial Fibrillation Management and Outcomes 5
- Cardiac pacing and defibrillation studies 1
- Co-authors
- John P. Long (4 shared papers)Joseph G. Cannon (4 shared papers)Makoto Funahashi (1 shared paper)Jan R. Flynn (1 shared paper)
- Journals
- Journal of Thrombosis and Thrombolysis (1 paper)Journal of Medicinal Chemistry (1 paper)Journal of the American College of Cardiology (1 paper)Life Sciences (1 paper)European Journal of Pharmacology (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Jay C. Koons
12 papers receiving 343 citations
Peers
Comparison fields: 5 of 34
- Cardiology and Cardiovascular Medicine 302
- Family Practice 5
- Internal Medicine 6
- Cellular and Molecular Neuroscience 14
- Pharmacology 8
Countries citing papers authored by Jay C. Koons
This map shows the geographic impact of Jay C. Koons'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 Jay C. Koons with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay C. Koons more than expected).
Fields of papers citing papers by Jay C. Koons
This network shows the impact of papers produced by Jay C. Koons. 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 Jay C. Koons. The network helps show where Jay C. Koons may publish in the future.
Co-authors
The 4 scholars most cited alongside Jay C. Koons, 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 | 2017 | 249 | |
| 2 | 2023 | 37 | |
| 3 | 2022 | 24 | |
| 4 | 1984 | 18 | |
| 5 | 1983 | 7 | |
| 6 | 2024 | 7 | |
| 7 | 2023 | 6 | |
| 8 | Encainide-induced diabetes: analysis of islet cell function. | 1992 | 5 |
| 9 | Metabolism and disposition of the dopaminergic agonist 5-hydroxy-6-methyl-2-di-n-propylaminotetralin in the rat. | 1985 | 4 |
| 10 | 1984 | 3 | |
| 11 | 1984 | 1 | |
| 12 | 1985 | 1 | |
| 13 | 2020 | 1 |
About Jay C. Koons
Jay C. Koons is a scholar working on Pharmacology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Molecular Biology and Organic Chemistry, having authored 13 papers that have together received 363 indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (5 papers), Alkaloids: synthesis and pharmacology (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Receptor Mechanisms and Signaling (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Synthesis and biological activity (1 paper), Cardiac pacing and defibrillation studies (1 paper) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (302 citations), Family Practice (5 citations), Internal Medicine (6 citations), Cellular and Molecular Neuroscience (14 citations) and Pharmacology (8 citations). Jay C. Koons has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include John P. Long, Joseph G. Cannon, Makoto Funahashi and Jan R. Flynn. Their work appears in journals such as Journal of Thrombosis and Thrombolysis, Journal of Medicinal Chemistry, Journal of the American College of Cardiology, Life Sciences and European Journal of Pharmacology.
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.