Wayne T. Nicholson

3.4k citations
78 papers · 1.8k · h-index 24

Impact in

Papers in

Wayne T. Nicholson

72 papers receiving 1.7k citations

Peers

Wayne T. Nicholson
Comparison fields: 5 of 120
  • Pharmacology 432
  • Health Informatics 43
  • Complementary and alternative medicine 223
  • Cardiology and Cardiovascular Medicine 596
  • Anesthesiology and Pain Medicine 136
Replace C. Michael Stein with:
C. Michael Stein United States
Daniel Kurnik Israel
François Montastruc France
Yan Gong United States
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Jennifer Ng United States
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Citations per field
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Citations per year

Countries citing papers authored by Wayne T. Nicholson

Since Specialization
Citations

This map shows the geographic impact of Wayne T. Nicholson'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 T. Nicholson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wayne T. Nicholson more than expected).

Fields of papers citing papers by Wayne T. Nicholson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011155
2 201394
3 201994
4 201675
5 200969
6 201367
7 201759
8 201258
9 201657
10 202153
11 201650
12 201249
13 201846
14 201944
15 200740
16 201838
17 201736
18 200635
19 201735
20 200633

About Wayne T. Nicholson

Wayne T. Nicholson is a scholar working on Cardiology and Cardiovascular Medicine, Pharmacology, Complementary and alternative medicine, Public Health, Environmental and Occupational Health and Physiology, having authored 78 papers that have together received 1.8k indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (24 papers), Pharmacogenetics and Drug Metabolism (18 papers), Cardiovascular and exercise physiology (15 papers), Blood Pressure and Hypertension Studies (12 papers), Pharmaceutical Practices and Patient Outcomes (6 papers), Ethics in Clinical Research (6 papers), Pharmaceutical studies and practices (5 papers) and Cardiovascular Health and Disease Prevention (5 papers). The work is most often cited by research in Pharmacology (432 citations), Health Informatics (43 citations), Complementary and alternative medicine (223 citations), Cardiology and Cardiovascular Medicine (596 citations) and Anesthesiology and Pain Medicine (136 citations). Wayne T. Nicholson has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Michael J. Joyner, John H. Eisenach, Christine M. Formea, Timothy B. Curry, Jill N. Barnes, Price, Carolyn R. Rohrer Vitek, Nisha Charkoudian, Jacqueline K. Limberg and Julie L. Cunningham. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Journal of Applied Physiology, The Journal of Physiology, Hypertension and Journal of Clinical Anesthesia.

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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