Daniel C. Bartos

1.1k citations
26 papers · 804 · h-index 14

Impact in

  • Aging top 5%
    • Cardiac electrophysiology and arrhythmias
    • Cardiac Arrhythmias and Treatments
    • Cardiomyopathy and Myosin Studies
    • Heart Rate Variability and Autonomic Control

Papers in

Daniel C. Bartos

17 papers receiving 798 citations

Peers

Daniel C. Bartos
Comparison fields: 5 of 80
  • Aging 46
  • Cardiology and Cardiovascular Medicine 583
  • Endocrine and Autonomic Systems 131
  • Cellular and Molecular Neuroscience 121
  • Molecular Biology 416
Replace Danesh H. Sopariwala with:
Danesh H. Sopariwala United States
Marianne E. Buck United States
Frederick Sannajust United States
K Timothy United States
Olga Andrini France
Spyros Zissimopoulos United Kingdom
Fredrik Swift Norway
Patricia Pérez‐Cornejo Mexico
Sarah Kuzmiak‐Glancy United States
Meike Kuschel United States
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Citations per field
00.5×5.8×
Danesh H. Sopariwala · 1×
Citations per year

Countries citing papers authored by Daniel C. Bartos

Since Specialization
Citations

This map shows the geographic impact of Daniel C. Bartos'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 Daniel C. Bartos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel C. Bartos more than expected).

Fields of papers citing papers by Daniel C. Bartos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel C. Bartos. 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 Daniel C. Bartos. The network helps show where Daniel C. Bartos may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel C. Bartos, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel C. Bartos Line = papers co-authored together Daniel C. Bartos links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015124
2 2013105
3 2013102
4 201683
5 201564
6 201661
7 201057
8 201245
9 201630
10 201328
11 201126
12 201320
13 201416
14 201315
15 201212
16 202210
17 20156
18 20090
19 20110
20 20100

About Daniel C. Bartos

Daniel C. Bartos is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Cellular and Molecular Neuroscience, Electrochemistry and Pathology and Forensic Medicine, having authored 26 papers that have together received 804 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (25 papers), Ion channel regulation and function (21 papers), Neuroscience and Neural Engineering (5 papers), Electrochemical Analysis and Applications (3 papers), Cardiomyopathy and Myosin Studies (3 papers), Receptor Mechanisms and Signaling (3 papers), ECG Monitoring and Analysis (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Aging (46 citations), Cardiology and Cardiovascular Medicine (583 citations), Endocrine and Autonomic Systems (131 citations), Cellular and Molecular Neuroscience (121 citations) and Molecular Biology (416 citations). Daniel C. Bartos has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Brian P. Delisle, Eleonora Grandi, Crystal M. Ripplinger, Michael J. Ackerman, David J. Tester, Don E. Burgess, Elizabeth A. Schroder, Xiping Zhang, Abhijit Patwardhan and Mellani Lefta. Their work appears in journals such as Biophysical Journal, Heart Rhythm, American Journal of Physiology-Cell Physiology, The Journal of Physiology and Comprehensive physiology.

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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