Wayne E. Dear

721 citations
22 papers · 445 indexed · h-index 12

Wayne E. Dear

20 papers receiving 390 citations

Peers

Wayne E. Dear
Comparison fields: 5 of 85
  • Behavioral Neuroscience 65
  • Endocrine and Autonomic Systems 70
  • Cardiology and Cardiovascular Medicine 121
  • Surgery 162
  • Radiology, Nuclear Medicine and Imaging 83
Replace Y Hamanaka with:
Y Hamanaka Japan
Dorothy I. Briggs United States
C Gharib France
C. A. Courneya Canada
Kozo Ota Japan
Jean Leduc Canada
Deborah L. Reid United States
Andrew F. Phippard Australia
Kuzhali Muthu United States
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Citations per field
00.5×
Y Hamanaka · 1×
Citations per year

Countries citing papers authored by Wayne E. Dear

Since Specialization
Citations

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

Fields of papers citing papers by Wayne E. Dear

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 19981
2 199713
3 199517
4 199319
5 199123
6 199014
7 199069
8 198915
9 19893
10 19861
11 198445
12
SILENT MYOCARDIAL INFARCTION WITH POSTERIOR INFERIOR PSEUDOANEURYSM OF THE LEFT VENTRICLE PRESENTING AS A POSTERIOR LUNG MASS.
19781
13 19771
14 19743
15 196916
16 19697
17 19610
18 19609
19 195930
20 1959111

About Wayne E. Dear

Wayne E. Dear is a scholar working on Behavioral Neuroscience, Cardiology and Cardiovascular Medicine, Surgery, Endocrinology, Diabetes and Metabolism and Anesthesiology and Pain Medicine, having authored 22 papers that have together received 445 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (5 papers), Cardiac Structural Anomalies and Repair (4 papers), Cardiac, Anesthesia and Surgical Outcomes (4 papers), Cardiac tumors and thrombi (3 papers), Cardiac Imaging and Diagnostics (3 papers), Cardiovascular and Diving-Related Complications (3 papers), Cardiac pacing and defibrillation studies (2 papers) and Congenital Heart Disease Studies (2 papers). The work is most often cited by research in Behavioral Neuroscience (65 citations), Endocrine and Autonomic Systems (70 citations), Cardiology and Cardiovascular Medicine (121 citations), Surgery (162 citations) and Radiology, Nuclear Medicine and Imaging (83 citations). Wayne E. Dear has collaborated with scholars based in United States. Frequent co-authors include Roger Guillemin, H. S. Lipscomb, Michael P. Macris, Robert D. Leachman, O.H. Frazier, Steven M. Parnis, John M. Fuqua, Richard K. Wampler, Frederick A. Heupler and Andrew V. Schally. Their work appears in journals such as Experimental Biology and Medicine, The Annals of Thoracic Surgery, Journal of the American College of Cardiology, Circulation and Anesthesia & Analgesia.

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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