Philip C. Ursell

8.5k citations
105 papers · 6.3k indexed · 3 hit papers · h-index 33

Philip C. Ursell

104 papers receiving 6.1k citations

Hit Papers

VEGF Gene Delivery to Myocardium59619852026199820124008001.2k

Peers

Philip C. Ursell
Comparison fields: 5 of 140
  • Cardiology and Cardiovascular Medicine 2.9k
  • Aging 121
  • Molecular Biology 2.3k
  • Radiology, Nuclear Medicine and Imaging 655
  • Physiology 693
Replace M Condorelli with:
M Condorelli Italy
Sanford P. Bishop United States
Michael T. Crow United States
Masatsugu Hori Japan
Paul C. Lee United States
Carsten Skurk Germany
Satoaki Matoba Japan
Stefan Jovinge Sweden
Douglas B. Sawyer United States
Yasuchika Takeishi Japan
Philip C. Ursell relative to M Condorelli Italy M Condorelli's profile →
Citations per field
00.5×3.2×
M Condorelli · 1×
Citations per year

Countries citing papers authored by Philip C. Ursell

Since Specialization
Citations

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

Fields of papers citing papers by Philip C. Ursell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip C. Ursell. 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 Philip C. Ursell. The network helps show where Philip C. Ursell may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2019127
2
Abstract 17905: Sudden Neurological Death: A Substantial Contributor to Causes of WHO Sudden Cardiac Deaths
20131
3 20136
4 20117
5 201010
6 20098
7 200813
8 200842
9 200729
10 200725
11 200198
12 2000112
13 199924
14
Dilated cardiomyopathy and neonatal lethality in mutant mice lacking manganese superoxide dismutasebreakdown →
19951417
15 199032
16 19881
17 198738
18 198711
19 198680
20 198326

About Philip C. Ursell

Philip C. Ursell is a scholar working on Cardiology and Cardiovascular Medicine, Genetics and Emergency Medicine, having authored 105 papers that have together received 6.3k indexed citations. Recurring topics across this work include Cardiac Arrhythmias and Treatments (13 papers), Cardiac Imaging and Diagnostics (12 papers), Cardiac electrophysiology and arrhythmias (11 papers), Congenital Heart Disease Studies (10 papers), Cardiomyopathy and Myosin Studies (8 papers), Cardiovascular Function and Risk Factors (8 papers), Cardiovascular Effects of Exercise (7 papers) and Atrial Fibrillation Management and Outcomes (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.9k citations), Aging (121 citations) and Molecular Biology (2.3k citations). Philip C. Ursell has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Andrew L. Wit, J J Fenoglio, Phyllis Gardner, Elaine J. Carlson, Ting‐Ting Huang, Charles J. Epstein, Jean L. Olson, Simon Melov, Linda J. Noble‐Haeusslein and Pak H. Chan. Their work appears in journals such as Science, New England Journal of Medicine and Circulation.

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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