Amanda Ayers

4.2k citations
13 papers · 2.7k · 8 hit papers · h-index 11

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
  • Neurology top 5%
    • Long-Term Effects of COVID-19

Papers in

Amanda Ayers

13 papers receiving 2.6k citations

Amanda Ayers's Hit Papers

GWAS and meta-analysis identifies 49 genetic variants underlying critical COVID-19 2023 · 121 citations
1210+1+3Years since publication200400600

Peers

Amanda Ayers
Comparison fields: 5 of 115
  • Infectious Diseases 1.4k
  • Neurology 447
  • Applied Microbiology and Biotechnology 50
  • Internal Medicine 58
  • Immunology 332
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Citations per field
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Citations per year

Countries citing papers authored by Amanda Ayers

Since Specialization
Citations

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

Fields of papers citing papers by Amanda Ayers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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All Works

13 of 13 papers shown
#Work
1
Mapping the human genetic architecture of COVID-19
Hit paper breakdown →
2021641
2
Azithromycin in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial
Hit paper breakdown →
2021403
3
Convalescent plasma in patients admitted to hospital with COVID-19 (RECOVERY): a randomised controlled, open-label, platform trial
Hit paper breakdown →
2021381
4
Casirivimab and imdevimab in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial
Hit paper breakdown →
2022282
5
Baricitinib in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial and updated meta-analysis
Hit paper breakdown →
2022230
6
Whole-genome sequencing reveals host factors underlying critical COVID-19
Hit paper breakdown →
2022228
7
Aspirin in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial
Hit paper breakdown →
2021211
8
GWAS and meta-analysis identifies 49 genetic variants underlying critical COVID-19
Hit paper breakdown →
2023121
9 202383
10 202356
11 202452
12 20248
13 20245

About Amanda Ayers

Amanda Ayers is a scholar working on Infectious Diseases, Immunology, Genetics, Epidemiology and Cell Biology, having authored 13 papers that have together received 2.7k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 Clinical Research Studies (3 papers), interferon and immune responses (3 papers), Liver Disease Diagnosis and Treatment (1 paper), Respiratory viral infections research (1 paper), Diabetes and associated disorders (1 paper), Genetic Associations and Epidemiology (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Infectious Diseases (1.4k citations), Neurology (447 citations), Applied Microbiology and Biotechnology (50 citations), Internal Medicine (58 citations) and Immunology (332 citations). Amanda Ayers has collaborated with scholars based in United Kingdom, Australia and Indonesia. Their work appears in journals such as The Lancet, Nature, Human Genetics and Genomics Advances and Kidney International Reports.

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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