Natasha R. Brown
- Sociology and Political Science top 10%
- Health top 5%
- General Health Professions top 10%
- Clinical Psychology
- Public Health, Environmental and Occupational Health
- Co-authors
- Christina JonesJakob D. JensenCourtney L. ScherrKatheryn R. ChristyJeremy WeaverManusheela PokharelAndy J. KingLa’Marcus T. Wingate
- Topics
- Media Influence and Health (5 papers)Behavioral Health and Interventions (4 papers)Climate Change Communication and Perception (3 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Natasha R. Brown
10 papers receiving 675 citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Sociology and Political Science 208
- Health 155
- General Health Professions 147
- Clinical Psychology 101
- Public Health, Environmental and Occupational Health 80
Countries citing papers authored by Natasha R. Brown
This map shows the geographic impact of Natasha R. 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 Natasha R. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natasha R. Brown more than expected).
Fields of papers citing papers by Natasha R. Brown
This network shows the impact of papers produced by Natasha R. 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 Natasha R. Brown. The network helps show where Natasha R. Brown may publish in the future.
Co-authorship network of co-authors of Natasha R. Brown
This figure shows the co-authorship network connecting the top 25 collaborators of Natasha R. Brown. A scholar is included among the top collaborators of Natasha R. Brown 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 Natasha R. Brown. Natasha R. Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 52 | |
| 10 | 24 | |
| 11 | The Health Belief Model as an Explanatory Framework in Communication Research: Exploring Parallel, Serial, and Moderated Mediationbreakdown → | 590 |
| 12 | 6 | |
| 13 | The power of consumer research - with a focus on qualitative techniques. | 7 |
About Natasha R. Brown
Natasha R. Brown is a scholar working on Applied Psychology, Literature and Literary Theory and Information Systems and Management, having authored 13 papers that have together received 697 indexed citations. Recurring topics across this work include Media Influence and Health (5 papers), Behavioral Health and Interventions (4 papers) and Climate Change Communication and Perception (3 papers). The work is most often cited by research in Health (155 citations), Applied Psychology (73 citations) and Modeling and Simulation (56 citations). Natasha R. Brown has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Christina Jones, Jakob D. Jensen, Courtney L. Scherr, Katheryn R. Christy, Jeremy Weaver, Manusheela Pokharel, Andy J. King, La’Marcus T. Wingate, Ryan J. Hurley and Paul Smith. Their work appears in journals such as Risk Analysis, Journal of Health Communication and Health Education & Behavior.
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.