Ed White

3.5k citations
86 papers · 2.9k · h-index 32

Impact in

Papers in

Ed White

86 papers receiving 2.8k citations

Peers

Ed White
Comparison fields: 5 of 107
  • Cardiology and Cardiovascular Medicine 1.9k
  • Cellular and Molecular Neuroscience 416
  • Cell Biology 335
  • Molecular Biology 1.3k
  • Sensory Systems 50
Replace Glen F. Tibbits with:
Glen F. Tibbits Canada
Ye Chen‐Izu United States
Thomas J. Hund United States
Leif Hove‐Madsen Spain
Sarah Calaghan United Kingdom
Saul Winegrad United States
Sanda Despa United States
Alicia Mattiazzi Argentina
Joshua I. Goldhaber United States
Patrick M. McDonough United States
Ed White relative to Glen F. Tibbits Canada Glen F. Tibbits's profile →
Citations per field
00.5×1.5×
Glen F. Tibbits · 1×
Citations per year

Countries citing papers authored by Ed White

Since Specialization
Citations

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

Fields of papers citing papers by Ed White

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008146
2 1999112
3 2002108
4 200994
5 199594
6 199690
7 200482
8 200374
9 200373
10 200872
11 199572
12 201271
13 200370
14 201169
15 199165
16 199961
17 200060
18 201558
19 200258
20 201157

About Ed White

Ed White is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine and Ecology, having authored 86 papers that have together received 2.9k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (44 papers), Cardiomyopathy and Myosin Studies (31 papers), Ion channel regulation and function (28 papers), Cardiovascular Effects of Exercise (21 papers), Cardiovascular Function and Risk Factors (13 papers), Pulmonary Hypertension Research and Treatments (12 papers), Neuroscience and Neural Engineering (12 papers) and Physiological and biochemical adaptations (10 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.9k citations), Cellular and Molecular Neuroscience (416 citations), Cell Biology (335 citations), Molecular Biology (1.3k citations) and Sensory Systems (50 citations). Ed White has collaborated with scholars based in United Kingdom, France and Australia. Frequent co-authors include Sarah Calaghan, Holly A. Shiels, Alexandra Belus, Clive H. Orchard, J.-Y. Le Guennec, David Benoîst, Łukasz Kozera, Rachel Stones, Kazuhiro Hongo and Mark R. Boyett. Their work appears in journals such as The Journal of Physiology, Pflügers Archiv - European Journal of Physiology, Progress in Biophysics and Molecular Biology, Journal of Molecular and Cellular Cardiology 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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