Danielle Campbell

1.6k citations
51 papers · 1.2k · h-index 18

Impact in

Papers in

Danielle Campbell

49 papers receiving 1.1k citations

Peers

Danielle Campbell
Comparison fields: 5 of 99
  • Infectious Diseases 416
  • General Health Professions 437
  • Virology 72
  • Health 59
  • Epidemiology 224
Replace Georges Reniers with:
Georges Reniers United Kingdom
E.M.M. de Vroome Netherlands
Dorina Onoya South Africa
Debrework Zewdie United States
Su‐I Hou United States
Stuart Rennie United States
Sara Paparini United Kingdom
Jo Durham Australia
Keymanthri Moodley South Africa
Nir Eyal United States
Danielle Campbell relative to Georges Reniers United Kingdom Georges Reniers's profile →
Citations per field
00.5×1.5×
Georges Reniers · 1×
Citations per year

Countries citing papers authored by Danielle Campbell

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Campbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997267
2 2009184
3 1998122
4 201441
5 201141
6 201830
7 201929
8 202127
9 202026
10 202025
11 201423
12 202022
13 200721
14 199820
15 199720
16
Community development and empowerment - a review of interventions to improve aboriginal health
200720
17 202019
18 200519
19 200617
20 202216

About Danielle Campbell

Danielle Campbell is a scholar working on General Health Professions, Infectious Diseases, Health, Sociology and Political Science and Political Science and International Relations, having authored 51 papers that have together received 1.2k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (12 papers), Health Policy Implementation Science (8 papers), Indigenous Health, Education, and Rights (7 papers), Global Health Workforce Issues (5 papers), Policing Practices and Perceptions (4 papers), Primary Care and Health Outcomes (4 papers), Adolescent Sexual and Reproductive Health (4 papers) and HIV Research and Treatment (4 papers). The work is most often cited by research in Infectious Diseases (416 citations), General Health Professions (437 citations), Virology (72 citations), Health (59 citations) and Epidemiology (224 citations). Danielle Campbell has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include June Crawford, Susan Kippax, Garrett Prestage, David A. Cooper, Don Baxter, Jason Noble, Sally Redman, Louisa Jorm, Margaret Cooke and Lucie Rychetnik. Their work appears in journals such as Public Health Research & Practice, BMC Public Health, AIDS Research and Human Retroviruses, Journal of Virus Eradication and Community Development Journal.

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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