Eric A. Sobie

6.0k citations
118 papers · 3.5k · h-index 33

Impact in

Papers in

Eric A. Sobie

115 papers receiving 3.4k citations

Peers

Eric A. Sobie
Comparison fields: 5 of 141
  • Cardiology and Cardiovascular Medicine 2.4k
  • Cellular and Molecular Neuroscience 977
  • Molecular Biology 2.1k
  • Biophysics 103
  • Sensory Systems 58
Replace M. Saleet Jafri with:
M. Saleet Jafri United States
Leighton T. Izu United States
Gary R. Mirams United Kingdom
Joseph L. Greenstein United States
William E. Louch Norway
Daisuke Sato United States
Ye Chen‐Izu United States
Olivier Bernus France
Alan Garny United Kingdom
Jeffrey J. Saucerman United States
Eric A. Sobie relative to M. Saleet Jafri United States M. Saleet Jafri's profile →
Citations per field
00.5×1.5×1.9×
M. Saleet Jafri · 1×
Citations per year

Countries citing papers authored by Eric A. Sobie

Since Specialization
Citations

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

Fields of papers citing papers by Eric A. Sobie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric A. Sobie. 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 Eric A. Sobie. The network helps show where Eric A. Sobie may publish in the future.

Co-authors

The 25 scholars most cited alongside Eric A. Sobie, 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 Eric A. Sobie Line = papers co-authored together Eric A. Sobie links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006348
2 2002246
3 2009200
4 1997119
5 2010107
6 2012106
7 2005100
8 201195
9 200294
10 199983
11 201179
12 200578
13 201177
14 199863
15 201460
16 200160
17 201557
18 201752
19 201850
20 200549

About Eric A. Sobie

Eric A. Sobie is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Cellular and Molecular Neuroscience, Biomedical Engineering and Electrochemistry, having authored 118 papers that have together received 3.5k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (86 papers), Ion channel regulation and function (49 papers), Neuroscience and Neural Engineering (32 papers), Receptor Mechanisms and Signaling (19 papers), Neuroscience and Neuropharmacology Research (8 papers), Bioinformatics and Genomic Networks (7 papers), Gene Regulatory Network Analysis (7 papers) and Electrochemical Analysis and Applications (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.4k citations), Cellular and Molecular Neuroscience (977 citations), Molecular Biology (2.1k citations), Biophysics (103 citations) and Sensory Systems (58 citations). Eric A. Sobie has collaborated with scholars based in United States, Brazil and Italy. Frequent co-authors include W. Jonathan Lederer, Long‐Sheng Song, M. Saleet Jafri, Leslie Tung, W. Jonathan Lederer, Keith W. Dilly, Jáder Santos Cruz, C. William Balke, Heping Cheng and Stacey L. McCulle. Their work appears in journals such as Biophysical Journal, The Journal of Physiology, Journal of Molecular and Cellular Cardiology, American Journal of Physiology-Heart and Circulatory Physiology and Science Signaling.

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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