Wayne T. Steward

5.4k total citations · 1 hit paper
97 papers, 4.2k citations indexed

About

Wayne T. Steward is a scholar working on Infectious Diseases, General Health Professions and Epidemiology. According to data from OpenAlex, Wayne T. Steward has authored 97 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Infectious Diseases, 53 papers in General Health Professions and 52 papers in Epidemiology. Recurrent topics in Wayne T. Steward's work include HIV/AIDS Research and Interventions (72 papers), HIV, Drug Use, Sexual Risk (52 papers) and Adolescent Sexual and Reproductive Health (30 papers). Wayne T. Steward is often cited by papers focused on HIV/AIDS Research and Interventions (72 papers), HIV, Drug Use, Sexual Risk (52 papers) and Adolescent Sexual and Reproductive Health (30 papers). Wayne T. Steward collaborates with scholars based in United States, India and South Africa. Wayne T. Steward's co-authors include Peter Salovey, Jerusha B. Detweiler, Alexander J. Rothman, Stephen F. Morin, Kyung–Hee Choi, Maria L. Ekstrand, Shalini Bharat, Jayashree Ramakrishna, Kimberly A. Koester and Sara Chandy and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Psychologist.

In The Last Decade

Wayne T. Steward

93 papers receiving 4.0k citations

Hit Papers

Emotional states and physical health. 2000 2026 2008 2017 2000 100 200 300 400 500

Peers

Wayne T. Steward
Comparison fields: 5 of 137
  • Infectious Diseases 2.4k
  • Epidemiology 1.6k
  • General Health Professions 1.4k
  • Social Psychology 978
  • Sociology and Political Science 867
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Citations per field, relative to Wayne T. Steward
Wayne T. Steward · 1×
Citations per year, relative to Wayne T. Steward
Wayne T. Steward · 1×

Countries citing papers authored by Wayne T. Steward

Since Specialization
Citations

This map shows the geographic impact of Wayne T. Steward'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. Steward 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. Steward more than expected).

Fields of papers citing papers by Wayne T. Steward

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wayne T. Steward

This figure shows the co-authorship network connecting the top 25 collaborators of Wayne T. Steward. A scholar is included among the top collaborators of Wayne T. Steward based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wayne T. Steward. Wayne T. Steward is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 5
3 4
4 16
5 13
6 75
7 23
8 19
9 19
10 26
11 89
12 37
13 27
14 131
15 59
16 83
17 20
18 73
19 23
20 38

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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