Sue Napierala

3.4k total citations
56 papers, 2.4k citations indexed

About

Sue Napierala is a scholar working on Infectious Diseases, Epidemiology and General Health Professions. According to data from OpenAlex, Sue Napierala has authored 56 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Infectious Diseases, 31 papers in Epidemiology and 22 papers in General Health Professions. Recurrent topics in Sue Napierala's work include HIV/AIDS Research and Interventions (46 papers), HIV, Drug Use, Sexual Risk (30 papers) and Adolescent Sexual and Reproductive Health (21 papers). Sue Napierala is often cited by papers focused on HIV/AIDS Research and Interventions (46 papers), HIV, Drug Use, Sexual Risk (30 papers) and Adolescent Sexual and Reproductive Health (21 papers). Sue Napierala collaborates with scholars based in United States, United Kingdom and Zimbabwe. Sue Napierala's co-authors include Harsha Thirumurthy, Kawango Agot, Elizabeth L. Corbett, Aoife M. Doyle, Suzanne Maman, Helen A. Weiss, Samuel H. Masters, Rachel Baggaley, David A. Ross and Mary Louisa Plummer and has published in prestigious journals such as PLoS ONE, Clinical Infectious Diseases and The Journal of Infectious Diseases.

In The Last Decade

Sue Napierala

53 papers receiving 2.3k citations

Peers

Sue Napierala
Comparison fields: 5 of 83
  • Infectious Diseases 1.7k
  • Epidemiology 1.3k
  • General Health Professions 988
  • Sociology and Political Science 509
  • Virology 496
Replace Helen Struthers with:
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Khatija Ahmed United States
Janet Frohlich South Africa
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Béa Vuylsteke Belgium
Timothy A. Kellogg United States
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Helen Struthers South Africa View profile →
Citations per field, relative to Sue Napierala
Sue Napierala · 1×
Citations per year, relative to Sue Napierala
Sue Napierala · 1×

Countries citing papers authored by Sue Napierala

Since Specialization
Citations

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

Fields of papers citing papers by Sue Napierala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sue Napierala

This figure shows the co-authorship network connecting the top 25 collaborators of Sue Napierala. A scholar is included among the top collaborators of Sue Napierala 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 Sue Napierala. Sue Napierala 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 1
3 4
4 4
5 5
6 33
7
Drug shops are an effective strategy to reach adolescent girls and young women with HIV self-testing and contraception: A randomized trial in Tanzania
2
8 5
9 77
10
Feasibility of HIV self-test programming among female sex workers in Zimbabwe
1
11 29
12 47
13 199
14 207
15 30
16 110
17 135
18 161
19 29
20 20

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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