Stephen Neely

1.0k citations
24 papers · 642 · 1 hit paper · h-index 12

Impact in

    • Social Media and Politics
    • Public Relations and Crisis Communication
  • Health top 5%
    • Vaccine Coverage and Hesitancy
    • Social Media in Health Education

Papers in

Stephen Neely

24 papers receiving 626 citations

Hit Papers

Health Information Seeking Behaviors on Social Media During the COVID-19 Pandemic Among American Social Networking Site Users: Survey Study 2021 · 160 citations
1600+1+3Years since publication50100150

Peers

Stephen Neely
Comparison fields: 5 of 103
  • Communication 180
  • Health 191
  • Health Informatics 25
  • Sociology and Political Science 362
  • Public Administration 21
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Stephen Neely relative to Timothy Graham Australia Timothy Graham's profile →
Citations per field
00.5×10×12.5×
Timothy Graham · 1×
Citations per year

Countries citing papers authored by Stephen Neely

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Neely

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen Neely. 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 Stephen Neely. The network helps show where Stephen Neely may publish in the future.

Co-authors

The 12 scholars most cited alongside Stephen Neely, 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 Stephen Neely Line = papers co-authored together Stephen Neely links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Health Information Seeking Behaviors on Social Media During the COVID-19 Pandemic Among American Social Networking Site Users: Survey Study
Hit paper breakdown →
2021160
2 202195
3 201792
4 202057
5 202443
6 201838
7 201726
8 201522
9 202020
10 202218
11 201913
12 201811
13 202110
14 20179
15 20187
16 20234
17 20234
18 20243
19 20242
20 20232

About Stephen Neely

Stephen Neely is a scholar working on Sociology and Political Science, Communication, Health, Political Science and International Relations and Education, having authored 24 papers that have together received 642 indexed citations. Recurring topics across this work include Misinformation and Its Impacts (12 papers), Social Media and Politics (9 papers), Vaccine Coverage and Hesitancy (6 papers), Public Relations and Crisis Communication (3 papers), School Choice and Performance (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Social Media in Health Education (3 papers) and Local Government Finance and Decentralization (2 papers). The work is most often cited by research in Communication (180 citations), Health (191 citations), Health Informatics (25 citations), Sociology and Political Science (362 citations) and Public Administration (21 citations). Stephen Neely has collaborated with scholars based in United States. Frequent co-authors include Christina Eldredge, Thomas E. Keller, Loni Hagen, Robin Ersing, Jerrell D. Coggburn, Matthew Collins, Nic DePaula, Elizabeth Vaquera, Joshua M. Scacco and Feng Hao. Their work appears in journals such as Social Science Computer Review, Education Policy Analysis Archives, Socius Sociological Research for a Dynamic World, Vaccine and Social Media + Society.

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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