Brian P. Delisle
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- Cardiac electrophysiology and arrhythmias 66
- Cardiac Arrhythmias and Treatments 11
- Heart Rate Variability and Autonomic Control 10
- Cardiac pacing and defibrillation studies 9
- Aging top 2%
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- Circadian rhythm and melatonin 13
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- Neuroscience and Neural Engineering 14
- Molecular Biology top 5%
- Ion channel regulation and function 50
- Receptor Mechanisms and Signaling 13
- Co-authors
- Craig T. JanuaryBlake D. AnsonCorey L. AndersonMichael J. AckermanDavid J. TesterDaniel C. BartosDon E. BurgessMelissa L. Will
- Partner nations
- United StatesJapanCanada
In The Last Decade
Brian P. Delisle
80 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 109
- Cardiology and Cardiovascular Medicine 2.1k
- Aging 95
- Endocrine and Autonomic Systems 246
- Cellular and Molecular Neuroscience 575
- Molecular Biology 1.9k
Countries citing papers authored by Brian P. Delisle
This map shows the geographic impact of Brian P. Delisle'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 Brian P. Delisle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian P. Delisle more than expected).
Fields of papers citing papers by Brian P. Delisle
This network shows the impact of papers produced by Brian P. Delisle. 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 Brian P. Delisle. The network helps show where Brian P. Delisle may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Brian P. Delisle, 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 | 10 | |
| 2 | 2024 | 5 | |
| 3 | 2023 | 24 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 10 | |
| 7 | 2022 | 12 | |
| 8 | 2021 | 7 | |
| 9 | 2021 | 6 | |
| 10 | 2021 | 8 | |
| 11 | 2021 | 5 | |
| 12 | 2020 | 25 | |
| 13 | Abstract 14425: Deep Neural Networks Can Predict 1-Year Mortality Directly From ECG Signal, Even When Clinically Interpreted as Normal | 2019 | 2 |
| 14 | 2017 | 32 | |
| 15 | 2016 | 83 | |
| 16 | 2013 | 105 | |
| 17 | 2013 | 32 | |
| 18 | 2011 | 0 | |
| 19 | 2009 | 1 | |
| 20 | 2000 | 40 |
About Brian P. Delisle
Brian P. Delisle is a scholar working on Aging, Cardiology and Cardiovascular Medicine and Endocrine and Autonomic Systems, having authored 89 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (66 papers), Ion channel regulation and function (50 papers), Neuroscience and Neural Engineering (14 papers), Circadian rhythm and melatonin (13 papers), Receptor Mechanisms and Signaling (13 papers), Cardiac Arrhythmias and Treatments (11 papers), Heart Rate Variability and Autonomic Control (10 papers) and Cardiac pacing and defibrillation studies (9 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.1k citations), Aging (95 citations) and Endocrine and Autonomic Systems (246 citations). Brian P. Delisle has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Craig T. January, Blake D. Anson, Corey L. Anderson, Michael J. Ackerman, David J. Tester, Daniel C. Bartos, Don E. Burgess, Melissa L. Will, Elizabeth A. Schroder and Jonathan Satin. Their work appears in journals such as JAMA, 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.