Wayne S. Brown

822 citations
10 papers · 587 · 1 hit paper · h-index 5

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
    • SARS-CoV-2 detection and testing
  • Neurology top 10%
    • Long-Term Effects of COVID-19

Papers in

Wayne S. Brown

9 papers receiving 559 citations

Wayne S. Brown's Hit Papers

Convalescent plasma in patients admitted to hospital with COVID-19 (RECOVERY): a randomised controlled, open-label, platform trial 2021 · 381 citations
3810+1+3Years since publication100200300

Peers

Wayne S. Brown
Comparison fields: 5 of 79
  • Infectious Diseases 328
  • Neurology 119
  • Obstetrics and Gynecology 44
  • General Dentistry 6
  • Critical Care and Intensive Care Medicine 18
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Citations per field
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Citations per year

Countries citing papers authored by Wayne S. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Wayne S. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Wayne S. Brown, 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 S. Brown Line = papers co-authored together Wayne S. Brown links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
Convalescent plasma in patients admitted to hospital with COVID-19 (RECOVERY): a randomised controlled, open-label, platform trial
Hit paper breakdown →
2021381
2 2021163
3 197821
4 19825
5
Entrepreneurship & technology : world experiences and policies
19865
6
Influence of Load Path and State of Stress on Failure Strength and Stress-Strain Properties of Rocks.
19715
7 19913
8
In Situ Determination Of Strength Properties In A Quartz Diorite Rock Mass
19702
9 19671
10 19571

About Wayne S. Brown

Wayne S. Brown is a scholar working on General Dentistry, Conservation, Orthodontics, Fluid Flow and Transfer Processes and Mechanics of Materials, having authored 10 papers that have together received 587 indexed citations. Recurring topics across this work include Rock Mechanics and Modeling (2 papers), Geomechanics and Mining Engineering (1 paper), Lattice Boltzmann Simulation Studies (1 paper), Dental materials and restorations (1 paper), Fluid Dynamics and Thin Films (1 paper), Rheology and Fluid Dynamics Studies (1 paper), Oceanographic and Atmospheric Processes (1 paper) and Conservation Techniques and Studies (1 paper). The work is most often cited by research in Infectious Diseases (328 citations), Neurology (119 citations), Obstetrics and Gynecology (44 citations), General Dentistry (6 citations) and Critical Care and Intensive Care Medicine (18 citations). Wayne S. Brown has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include STEPHEN R. SWANSON, Roy Rothwell, IVAN B. CUTLER, Mitchell G. Scott, Adriana Huyer, JOHN S. ALLEN, James D. Irish, Clinton D. Winant, Russ E. Davis and William D. Grant. Their work appears in journals such as The Lancet, JAMA, The Journal of the American Dental Association, Clinical Chemistry and Caribbean Quarterly.

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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