Edyth Parker

1.9k citations
16 papers · 246 · h-index 8

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 4
    • SARS-CoV-2 detection and testing 2
    • Viral gastroenteritis research and epidemiology 2
    • Influenza Virus Research Studies 5
    • Virology and Viral Diseases 2

Edyth Parker

15 papers receiving 241 citations

Peers

Edyth Parker
Comparison fields: 5 of 45
  • Infectious Diseases 113
  • Modeling and Simulation 29
  • Epidemiology 109
  • Virology 15
  • Health 22
Replace Sheilagh Smit with:
Sheilagh Smit South Africa
Mia Kontio Finland
Sreelekshmy Mohandas India
Kelsey R. Florek United States
Shahjahan Miah United Kingdom
Ruiqi Ren China
Krista Versteeg United States
Beatriz Escudero-Pérez Germany
Stuart Beard United Kingdom
Ashwini Ramdasi India
Edyth Parker relative to Sheilagh Smit South Africa Sheilagh Smit's profile →
Citations per field
00.5×3.5×
Sheilagh Smit · 1×
Citations per year

Countries citing papers authored by Edyth Parker

Since Specialization
Citations

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

Fields of papers citing papers by Edyth Parker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201984
2 201939
3 202031
4 201917
5 202314
6 202010
7 20259
8 20189
9 20247
10 20206
11 20206
12 20225
13 20244
14 20253
15 20222
16 20260

About Edyth Parker

Edyth Parker is a scholar working on Infectious Diseases, Epidemiology, Agronomy and Crop Science, Modeling and Simulation and Molecular Biology, having authored 16 papers that have together received 246 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 epidemiological studies (3 papers), Animal Disease Management and Epidemiology (3 papers), SARS-CoV-2 detection and testing (2 papers), Virology and Viral Diseases (2 papers), Genomics and Phylogenetic Studies (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Infectious Diseases (113 citations), Modeling and Simulation (29 citations), Epidemiology (109 citations), Virology (15 citations) and Health (22 citations). Edyth Parker has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Colin A. Russell, Alvin X. Han, Sebastian Maurer‐Stroh, Velislava Petrova, Carl A. Anderson, Antonio Lanzavecchia, Rik L. de Swart, Bevan Sawatsky, Paul Kellam and Brigitta M. Laksono. Their work appears in journals such as Cell, Virus Evolution, Journal of Virology, Science Immunology and Clinical Infectious Diseases.

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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