Ashley Bailey

487 citations
9 papers · 257 · h-index 7

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • SARS-CoV-2 detection and testing
    • COVID-19 Clinical Research Studies
    • Viral gastroenteritis research and epidemiology
    • Toxoplasma gondii Research Studies

Papers in

Ashley Bailey

9 papers receiving 248 citations

Peers

Ashley Bailey
Comparison fields: 5 of 45
  • Infectious Diseases 181
  • Parasitology 16
  • Animal Science and Zoology 19
  • Modeling and Simulation 8
  • Health 13
Replace Carlos Franco-Muñoz with:
Carlos Franco-Muñoz Colombia
Felicity J. Coulter United States
Zsὁfia Iglὁi Netherlands
Dinuka Guruge Sri Lanka
Giulia Bertoli Italy
Rebeca Santano Spain
Anderson Vicente de Paula Brazil
Isabelle Arm‐Vernez Switzerland
Philipp Girl Germany
Mitchell D. Ramuta United States
Ashley Bailey relative to Carlos Franco-Muñoz Colombia Carlos Franco-Muñoz's profile →
Citations per field
00.5×
Carlos Franco-Muñoz · 1×
Citations per year

Countries citing papers authored by Ashley Bailey

Since Specialization
Citations

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

Fields of papers citing papers by Ashley Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 202197
2 202074
3
Seroprevalence of toxoplasma gondii, rubella virus, cytomegalovirus herpes simplex virus (TORCH) and syphilis in Jamaican pregnant women.
199125
4 202116
5 201916
6 202111
7 202111
8 20104
9
Seroprevalence of cytomegalovirus infection in a selected population in Jamaica.
19923

About Ashley Bailey

Ashley Bailey is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Health and General Agricultural and Biological Sciences, having authored 9 papers that have together received 257 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), SARS-CoV-2 detection and testing (3 papers), Cytomegalovirus and herpesvirus research (2 papers), Youth Development and Social Support (1 paper), Vaccine Coverage and Hesitancy (1 paper), Toxoplasma gondii Research Studies (1 paper), Diverse Education Studies and Reforms (1 paper) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Infectious Diseases (181 citations), Parasitology (16 citations), Animal Science and Zoology (19 citations), Modeling and Simulation (8 citations) and Health (13 citations). Ashley Bailey has collaborated with scholars based in Canada, United States and Jamaica. Frequent co-authors include Carmen Charlton, Jamil N. Kanji, Sean C. Taylor, Beth Hurst, Kyle Annen, Mary K. McCarthy, Vijaya Knight, Thomas E. Morrison, Graham Tipples and Sabrina S. Plitt. Their work appears in journals such as Journal of Clinical Microbiology, Nanomaterials, Journal of Clinical Virology, Microbiology Spectrum and Vaccine.

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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