Daniel A. Gray

571 citations
12 papers · 285 · h-index 8

Impact in

Papers in

Daniel A. Gray

12 papers receiving 284 citations

Peers

Daniel A. Gray
Comparison fields: 5 of 62
  • Cardiology and Cardiovascular Medicine 89
  • Developmental Neuroscience 15
  • Cellular and Molecular Neuroscience 55
  • Molecular Biology 194
  • Nephrology 14
Replace J. S. Beck with:
J. S. Beck Canada
Yoann Sottejeau United States
Damien Bergerot France
Huai-Ren Chang Taiwan
Rebecca Clark United Kingdom
S. Yu. Tsibulnikov Russia
Danielle Chabard�s France
Hitoshi Kato Japan
Susumu Fujisawa Japan
Shao-kui Wei United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniel A. Gray

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 201059
2 201046
3 200538
4 200133
5 200432
6 201030
7 201817
8 200412
9 20107
10 20216
11 20214
12
Increased repolarization heterogeneity is associated with increased mortality in hemodialysis patients
20111

About Daniel A. Gray

Daniel A. Gray is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Genetics and Pathology and Forensic Medicine, having authored 12 papers that have together received 285 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (5 papers), Ion channel regulation and function (5 papers), Ion Transport and Channel Regulation (3 papers), Cardiac pacing and defibrillation studies (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Mast cells and histamine (1 paper), Neuroscience and Neural Engineering (1 paper) and Cardiac Arrhythmias and Treatments (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (89 citations), Developmental Neuroscience (15 citations), Cellular and Molecular Neuroscience (55 citations), Molecular Biology (194 citations) and Nephrology (14 citations). Daniel A. Gray has collaborated with scholars based in United States and Japan. Frequent co-authors include Lawrence G. Palmer, Gustavo Frindt, Coeli M. Lopes, David Williams, Yuyang Zhang, Jin O‐Uchi, Marcin Karcz, Paul S. Brookes, Avia Rosenhouse‐Dantsker and Keith Nehrke. Their work appears in journals such as American Journal of Physiology-Renal Physiology, American Journal of Kidney Diseases, Journal of the American Society of Nephrology, Diabetes and Circulation Research.

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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