David A. Scales

47 papers receiving 798 citations

Peers

David A. Scales
Comparison fields: 5 of 129
  • Virology 68
  • Modeling and Simulation 54
  • Health 80
  • Infectious Diseases 109
  • Ceramics and Composites 35
Replace Caitlin Pedati with:
Caitlin Pedati United States
Alyssa S. Parpia United States
Muhammed Olanrewaju Afolabi United Kingdom
David Alberto Forero-Peña Venezuela
Alejandro Rísquez Venezuela
Pradip Dashraath Singapore
Robert J. Arciuolo United States
María José Sierra Moros Spain
Abdulkarim Abdullah Alrabiaah Saudi Arabia
Sue Gerber United States
David A. Scales relative to Caitlin Pedati United States Caitlin Pedati's profile →
Citations per field
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Citations per year

Countries citing papers authored by David A. Scales

Since Specialization
Citations

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

Fields of papers citing papers by David A. Scales

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Scales. 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 David A. Scales. The network helps show where David A. Scales may publish in the future.

Co-authors

The 25 scholars most cited alongside David A. Scales, 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 David A. Scales Line = papers co-authored together David A. Scales 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 2000153
2 201382
3 202182
4 200761
5 202045
6 201243
7 201339
8 201524
9 200823
10 202423
11 197222
12 200122
13 202220
14 202220
15 202314
16 202213
17 202413
18 201311
19 202011
20 202011

About David A. Scales

David A. Scales is a scholar working on Health, Virology, Sociology and Political Science, Clinical Psychology and Public Health, Environmental and Occupational Health, having authored 48 papers that have together received 835 indexed citations. Recurring topics across this work include Misinformation and Its Impacts (11 papers), Vaccine Coverage and Hesitancy (10 papers), Migration, Health and Trauma (4 papers), Data-Driven Disease Surveillance (4 papers), Hate Speech and Cyberbullying Detection (3 papers), HIV Research and Treatment (3 papers), COVID-19 epidemiological studies (2 papers) and Tuberculosis Research and Epidemiology (2 papers). The work is most often cited by research in Virology (68 citations), Modeling and Simulation (54 citations), Health (80 citations), Infectious Diseases (109 citations) and Ceramics and Composites (35 citations). David A. Scales has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Jack M. Gorman, Kathleen Hall Jamieson, Georgetta Cannon, Houping Ni, Drew Weissman, Birger Carl Forsberg, Jo Vearey, Ziad El‐Khatib, John Capodici and John S. Brownstein. Their work appears in journals such as The Journal of Immunology, PLoS Medicine, American Journal of Preventive Medicine, Journal of General Internal Medicine and The Lancet.

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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