Daniel C. Bartos

1.2k citations
26 papers · 863 · h-index 14

Impact in

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

Papers in

Daniel C. Bartos

17 papers receiving 852 citations

Peers

Daniel C. Bartos
Comparison fields: 5 of 79
  • Cardiology and Cardiovascular Medicine 593
  • Aging 44
  • Endocrine and Autonomic Systems 132
  • Cellular and Molecular Neuroscience 115
  • Molecular Biology 396
Replace Gwilym M. Morris with:
Gwilym M. Morris United Kingdom
Marianne E. Buck United States
Carlos Ojeda France
Tracy Guo United States
N Hagiwara Japan
Sarah Kuzmiak‐Glancy United States
Fredrik Swift Norway
Susan M. DeLeon United States
Olga Andrini France
Vitaliy Reznikov United States
Daniel C. Bartos relative to Gwilym M. Morris United Kingdom Gwilym M. Morris's profile →
Citations per field
00.5×4.4×
Gwilym M. Morris · 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 2015139
2 2013112
3 2013109
4 201686
5 201667
6 201566
7 201060
8 201247
9 201633
10 201330
11 201127
12 201322
13 201317
14 201416
15 201212
16 201510
17 202210
18 20100
19 20110
20 20110

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 863 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (24 papers), Ion channel regulation and function (17 papers), Neuroscience and Neural Engineering (5 papers), Receptor Mechanisms and Signaling (3 papers), Electrochemical Analysis and Applications (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Cardiomyopathy and Myosin Studies (2 papers) and Cardiac Imaging and Diagnostics (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (593 citations), Aging (44 citations), Endocrine and Autonomic Systems (132 citations), Cellular and Molecular Neuroscience (115 citations) and Molecular Biology (396 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 Karyn A. Esser. Their work appears in journals such as Biophysical Journal, Heart Rhythm, American Journal of Physiology-Cell Physiology, Comprehensive physiology and The Journal of 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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