Nandi Siegfried

116 papers receiving 4.3k citations

Hit Papers

Examining the effects of HIV self‐testing compared to standard HIV testing services: a systematic review and meta‐analysis 2017 · 270 citations
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Peers

Nandi Siegfried
Comparison fields: 5 of 170
  • Virology 584
  • Infectious Diseases 1.7k
  • General Health Professions 1.1k
  • Epidemiology 1.5k
  • Emergency Medicine 312
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Citations per year

Countries citing papers authored by Nandi Siegfried

Since Specialization
Citations

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

Fields of papers citing papers by Nandi Siegfried

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
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8 202116
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11 20182
12 20179
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15 201220
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The South African Cochrane Centre - helping practitioners to identify and apply best evidence in practice
20081
17
Development and implementation of an HIV/AIDS trials management system: A geographical information systems approach
20080
18 200826
19
Is evidence-based medicine relevant to the developing world? Systematic reviews have yet to achieve their potential as a resource for practitioners in developing countries
20054
20 200549

About Nandi Siegfried

Nandi Siegfried is a scholar working on Issues, ethics and legal aspects, Virology, Statistics, Probability and Uncertainty, Infectious Diseases and General Health Professions, having authored 121 papers that have together received 4.5k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (29 papers), Health Policy Implementation Science (16 papers), HIV Research and Treatment (14 papers), Substance Abuse Treatment and Outcomes (14 papers), HIV/AIDS drug development and treatment (11 papers), Health Sciences Research and Education (11 papers), Meta-analysis and systematic reviews (11 papers) and Primary Care and Health Outcomes (10 papers). The work is most often cited by research in Virology (584 citations), Infectious Diseases (1.7k citations), General Health Professions (1.1k citations), Epidemiology (1.5k citations) and Emergency Medicine (312 citations). Nandi Siegfried has collaborated with scholars based in South Africa, United Kingdom and Switzerland. Frequent co-authors include Jimmy Volmink, Michelle Cleary, Martie Muller, Jonathan J Deeks, Rachel Baggaley, Matthias Egger, Lize van der Merwe, Peter Brocklehurst, Glenn E. Hunt and James Irlam. Their work appears in journals such as Cochrane Database of Systematic Reviews, Trials, Journal of the International AIDS Society, PLoS ONE and Australian & New Zealand Journal of Psychiatry.

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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