David G. Hurrell

911 citations
15 papers · 678 · h-index 10

Impact in

Papers in

David G. Hurrell

15 papers receiving 622 citations

Peers

David G. Hurrell
Comparison fields: 5 of 45
  • Cardiology and Cardiovascular Medicine 509
  • Critical Care and Intensive Care Medicine 34
  • Radiology, Nuclear Medicine and Imaging 110
  • Pulmonary and Respiratory Medicine 105
  • Surgery 139
Replace Toshinari Onishi with:
Toshinari Onishi Japan
Howard E. Winer United States
Maria‐Anna Secknus Germany
Alice Allfie United States
Bruce F. Landeck United States
Petr Hude Czechia
Deepak Talreja United States
Francis P. Sutter United States
Álvaro Figueroa Spain
Lidia Capotosto Italy
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Citations per field
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Citations per year

Countries citing papers authored by David G. Hurrell

Since Specialization
Citations

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

Fields of papers citing papers by David G. Hurrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 1997179
2 2000174
3 1996137
4 199651
5 200346
6 200228
7 199628
8 200310
9 20089
10 20009
11 19962
12 20172
13 20201
14
Acute myocardial infarction followed by technetium-99m-sestamibi SPECT imaging and pathologic correlation.
19971
15 19971

About David G. Hurrell

David G. Hurrell is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Surgery and Epidemiology, having authored 15 papers that have together received 678 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (4 papers), Pulmonary Hypertension Research and Treatments (3 papers), Cardiomyopathy and Myosin Studies (3 papers), Cardiac Imaging and Diagnostics (3 papers), Cardiac Arrhythmias and Treatments (2 papers), Cardiac pacing and defibrillation studies (2 papers), Cardiac Valve Diseases and Treatments (2 papers) and Venous Thromboembolism Diagnosis and Management (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (509 citations), Critical Care and Intensive Care Medicine (34 citations), Radiology, Nuclear Medicine and Imaging (110 citations), Pulmonary and Respiratory Medicine (105 citations) and Surgery (139 citations). David G. Hurrell has collaborated with scholars based in United States. Frequent co-authors include Rick A. Nishimura, Christopher P. Appleton, Duane M. Ilstrup, Kyle W. Klarich, Steve R. Ommen, A. Jamil Tajik, David R. Holmes, Gordon K. Danielson, Stuart T. Higano and Hartzell V. Schaff. Their work appears in journals such as Journal of the American College of Cardiology, Mayo Clinic Proceedings, Circulation, The American Journal of Cardiology and Catheterization and Cardiovascular Interventions.

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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