Wayne E. Dear

724 citations
23 papers · 508 · h-index 13

Impact in

Papers in

Wayne E. Dear

21 papers receiving 425 citations

Peers

Wayne E. Dear
Comparison fields: 5 of 85
  • Behavioral Neuroscience 71
  • Endocrine and Autonomic Systems 74
  • Cardiology and Cardiovascular Medicine 124
  • Developmental Neuroscience 20
  • Emergency Medicine 35
Replace P. Illner with:
P. Illner United States
Kozo Ota Japan
Y Hamanaka Japan
M F Wilson United States
C. A. Courneya Canada
Deborah L. Reid United States
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Vincent Roelfsema New Zealand
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Citations per field
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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-authors

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

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1959122
2 199081
3 196246
4 198446
5 195942
6 199129
7 199321
8 199716
9 199516
10 196916
11 198915
12 199014
13 196013
14
PRINZMETAL'S VARIANT ANGINA PECTORIS WITH NORMAL CORONARY ARTERIOGRAMS: EFFECT OF LONG-TERM RESERPINE TREATMENT.
19748
15 19697
16 19896
17 19744
18 19771
19 19861
20 19981

About Wayne E. Dear

Wayne E. Dear is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Pulmonary and Respiratory Medicine, Behavioral Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 23 papers that have together received 508 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (5 papers), Cardiac, Anesthesia and Surgical Outcomes (4 papers), Cardiac Structural Anomalies and Repair (4 papers), Cardiovascular and Diving-Related Complications (3 papers), Cardiac tumors and thrombi (3 papers), Cardiac Imaging and Diagnostics (3 papers), Congenital Heart Disease Studies (2 papers) and Hemodynamic Monitoring and Therapy (2 papers). The work is most often cited by research in Behavioral Neuroscience (71 citations), Endocrine and Autonomic Systems (74 citations), Cardiology and Cardiovascular Medicine (124 citations), Developmental Neuroscience (20 citations) and Emergency Medicine (35 citations). Wayne E. Dear has collaborated with scholars based in United States. Frequent co-authors include Roger Guillemin, H. S. Lipscomb, Michael P. Macris, John M. Fuqua, Robert D. Leachman, O.H. Frazier, Steven M. Parnis, 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 Nutrition in Clinical Practice.

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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