David Fedida

7.6k citations
185 papers · 6.4k · h-index 45

Impact in

Papers in

David Fedida

182 papers receiving 6.2k citations

Peers

David Fedida
Comparison fields: 5 of 105
  • Cardiology and Cardiovascular Medicine 3k
  • Molecular Biology 3.4k
  • Sensory Systems 119
  • Cell Biology 172
  • Physiology 37
Replace Hugues Abriel with:
Hugues Abriel Switzerland
Greg Wiederrecht United States
Marcel A. G. van der Heyden Netherlands
James D. Potter United States
Robert L. Raynor United States
Show‐Ling Shyng United States
Han Choe South Korea
John S. Mitcheson United Kingdom
Antônio Felipe Spain
Junko Kurokawa Japan
David Fedida relative to Hugues Abriel Switzerland Hugues Abriel's profile →
Citations per field
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Hugues Abriel · 1×
Citations per year

Countries citing papers authored by David Fedida

Since Specialization
Citations

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

Fields of papers citing papers by David Fedida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Fedida. 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 David Fedida. The network helps show where David Fedida may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 185 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993317
2 1991223
3 2004173
4 2005169
5 2005167
6 1993153
7 1990127
8 1987108
9 2006107
10 2012102
11 199094
12 200794
13 200392
14 201390
15 201188
16 200586
17 200084
18 200583
19 198781
20 199281

About David Fedida

David Fedida is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cell Biology, Infectious Diseases and Epidemiology, having authored 185 papers that have together received 6.4k indexed citations. Recurring topics across this work include Ion channel regulation and function (137 papers), Cardiac electrophysiology and arrhythmias (54 papers), Cellular transport and secretion (5 papers), Influenza Virus Research Studies (5 papers), Ion Transport and Channel Regulation (4 papers), HIV/AIDS drug development and treatment (3 papers), Computational Drug Discovery Methods (3 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (3k citations), Molecular Biology (3.4k citations), Sensory Systems (119 citations), Cell Biology (172 citations) and Physiology (37 citations). David Fedida has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Wayne R. Giles, Jodene Eldstrom, David F. Steele, Harley T. Kurata, Andrew P. Braun, Ron A. Bouchard, Saman Rezazadeh, Steven J. Kehl, Zhuren Wang and Denis Noble. Their work appears in journals such as The Journal of Physiology, The Journal of General Physiology, Biophysical Journal, American Journal of Physiology-Cell Physiology and American Journal of Physiology-Heart and Circulatory 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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