Wayne D. Johnson

3.1k citations
48 papers · 2.5k · h-index 23

Impact in

Papers in

Wayne D. Johnson

48 papers receiving 2.4k citations

Peers

Wayne D. Johnson
Comparison fields: 5 of 120
  • Infectious Diseases 1.4k
  • General Health Professions 945
  • Epidemiology 947
  • Microbiology 86
  • Virology 59
Replace Dean A. Murphy with:
Dean A. Murphy Australia
Salaam Semaan United States
Catlainn Sionéan United States
Donna C. Futterman United States
Wangari E. Tharao Canada
Stephen A. Flores United States
Graham Bolding United Kingdom
Christiana Noestlinger Belgium
Adrian Liau United States
Kevin Cranston United States
Wayne D. Johnson relative to Dean A. Murphy Australia Dean A. Murphy's profile →
Citations per field
00.5×1.5×1.9×
Dean A. Murphy · 1×
Citations per year

Countries citing papers authored by Wayne D. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Wayne D. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001503
2 2008259
3 2002190
4 2009184
5 2008136
6 2002127
7 200296
8 200586
9 201283
10 197676
11 200272
12 201657
13 200755
14 202048
15 200244
16 201342
17 201739
18 197833
19 201731
20 201330

About Wayne D. Johnson

Wayne D. Johnson is a scholar working on Infectious Diseases, General Health Professions, Epidemiology, Statistics and Probability and Social Psychology, having authored 48 papers that have together received 2.5k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (33 papers), Adolescent Sexual and Reproductive Health (17 papers), HIV, Drug Use, Sexual Risk (16 papers), Food Security and Health in Diverse Populations (6 papers), LGBTQ Health, Identity, and Policy (3 papers), Quantum, superfluid, helium dynamics (2 papers), Advanced Causal Inference Techniques (2 papers) and Atomic and Subatomic Physics Research (2 papers). The work is most often cited by research in Infectious Diseases (1.4k citations), General Health Professions (945 citations), Epidemiology (947 citations), Microbiology (86 citations) and Virology (59 citations). Wayne D. Johnson has collaborated with scholars based in United States, Uganda and Jamaica. Frequent co-authors include Salaam Semaan, Ellen D. Sogolow, Larry Vernon Hedges, Phil J. Smith, Ann Stueve, Robin Lin Miller, Lillian S. Lin, Wesley Ford, Farzana Muhib and Stephen A. Flores. Their work appears in journals such as JAIDS Journal of Acquired Immune Deficiency Syndromes, AIDS and Behavior, Public Health Reports, AIDS Education and Prevention and AIDS.

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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