Phillip E. Ray

1.3k citations
11 papers · 1.0k · h-index 9

Impact in

    • Cardiac electrophysiology and arrhythmias
    • Cardiomyopathy and Myosin Studies
    • Cardiovascular Function and Risk Factors
    • Viral Infections and Immunology Research
    • Cardiac Fibrosis and Remodeling
    • T-cell and Retrovirus Studies

Papers in

Phillip E. Ray

11 papers receiving 1.0k citations

Peers

Phillip E. Ray
Comparison fields: 5 of 84
  • Cardiology and Cardiovascular Medicine 567
  • Immunology 169
  • Molecular Biology 527
  • Endocrinology, Diabetes and Metabolism 123
  • Agronomy and Crop Science 68
Replace Yu-Wen Lin with:
Yu-Wen Lin Taiwan
Luc Snyers Austria
Yves Bourlet France
Hiroto Yamamoto Japan
José-Luis Castrillo United States
M L Nagpal United States
Rolando Cuevas United States
Teresa Brandt United States
Jillian N. Simon United Kingdom
F. Lambert France
Phillip E. Ray relative to Yu-Wen Lin Taiwan Yu-Wen Lin's profile →
Citations per field
00.5×3.4×
Yu-Wen Lin · 1×
Citations per year

Countries citing papers authored by Phillip E. Ray

Since Specialization
Citations

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

Fields of papers citing papers by Phillip E. Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phillip E. Ray. 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 Phillip E. Ray. The network helps show where Phillip E. Ray may publish in the future.

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 1993291
2 1993191
3 1991159
4 1992135
5 1989131
6 200447
7 199136
8 199124
9 198924
10 20037
11 20182

About Phillip E. Ray

Phillip E. Ray is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Ecology, Evolution, Behavior and Systematics, Immunology and Infectious Diseases, having authored 11 papers that have together received 1.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), Viral Infections and Immunology Research (3 papers), Cardiomyopathy and Myosin Studies (2 papers), Receptor Mechanisms and Signaling (2 papers), HIV Research and Treatment (1 paper), Thyroid Disorders and Treatments (1 paper), Ion channel regulation and function (1 paper) and Animal Disease Management and Epidemiology (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (567 citations), Immunology (169 citations), Molecular Biology (527 citations), Endocrinology, Diabetes and Metabolism (123 citations) and Agronomy and Crop Science (68 citations). Phillip E. Ray has collaborated with scholars based in United States, India and Sweden. Frequent co-authors include Arthur M. Feldman, Beverly H. Lorell, Ellen O. Weinberg, Michael R. Bristow, Wayne Minobe, Kenneth L. Baughman, Paul W. Ladenson, Steven I. Sherman, M V Raynolds and J. David Port. Their work appears in journals such as Journal of Molecular and Cellular Cardiology, Science, Vaccine, Circulation Research and Journal of Clinical Investigation.

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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