Brian P. Delisle

4.3k total citations
89 papers, 2.7k citations indexed

About

Brian P. Delisle is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Brian P. Delisle has authored 89 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Cardiology and Cardiovascular Medicine, 57 papers in Molecular Biology and 21 papers in Cellular and Molecular Neuroscience. Recurrent topics in Brian P. Delisle's work include Cardiac electrophysiology and arrhythmias (66 papers), Ion channel regulation and function (50 papers) and Neuroscience and Neural Engineering (14 papers). Brian P. Delisle is often cited by papers focused on Cardiac electrophysiology and arrhythmias (66 papers), Ion channel regulation and function (50 papers) and Neuroscience and Neural Engineering (14 papers). Brian P. Delisle collaborates with scholars based in United States, Japan and Canada. Brian P. Delisle's 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 and has published in prestigious journals such as JAMA, Journal of Biological Chemistry and Circulation.

In The Last Decade

Brian P. Delisle

80 papers receiving 2.7k citations

Peers

Brian P. Delisle
Comparison fields: 5 of 109
  • Cardiology and Cardiovascular Medicine 2.1k
  • Molecular Biology 1.9k
  • Cellular and Molecular Neuroscience 575
  • Endocrine and Autonomic Systems 246
  • Physiology 165
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Citations per field, relative to Brian P. Delisle
Brian P. Delisle · 1×
Citations per year, relative to Brian P. Delisle
Brian P. Delisle · 1×

Countries citing papers authored by Brian P. Delisle

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Brian P. Delisle

This figure shows the co-authorship network connecting the top 25 collaborators of Brian P. Delisle. A scholar is included among the top collaborators of Brian P. Delisle 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 Brian P. Delisle. Brian P. Delisle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 10
2 5
3 24
4 5
5 2
6 10
7 12
8 7
9 6
10 8
11 5
12 25
13
Abstract 14425: Deep Neural Networks Can Predict 1-Year Mortality Directly From ECG Signal, Even When Clinically Interpreted as Normal
2
14 32
15 83
16 105
17 32
18 0
19 1
20 40

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.

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