Alison Harrison

1.9k citations
9 papers · 1.1k · 3 hit papers · h-index 6

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
  • Immunology top 10%
    • interferon and immune responses
    • Immune responses and vaccinations

Papers in

Alison Harrison

9 papers receiving 1.1k citations

Alison Harrison's Hit Papers

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

Peers

Alison Harrison
Comparison fields: 5 of 99
  • Infectious Diseases 480
  • Immunology 245
  • Neurology 108
  • Genetics 175
  • Modeling and Simulation 24
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Citations per field
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Citations per year

Countries citing papers authored by Alison Harrison

Since Specialization
Citations

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

Fields of papers citing papers by Alison Harrison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Alison Harrison, 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 Alison Harrison Line = papers co-authored together Alison Harrison links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Mapping the human genetic architecture of COVID-19
Hit paper breakdown →
2021641
2
Whole-genome sequencing reveals host factors underlying critical COVID-19
Hit paper breakdown →
2022228
3
GWAS and meta-analysis identifies 49 genetic variants underlying critical COVID-19
Hit paper breakdown →
2023121
4 202356
5 202426
6 20248
7 20255
8 20074
9 20162

About Alison Harrison

Alison Harrison is a scholar working on Infectious Diseases, Immunology, Critical Care and Intensive Care Medicine, Radiological and Ultrasound Technology and Anesthesiology and Pain Medicine, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (3 papers), interferon and immune responses (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Respiratory viral infections research (1 paper), Diabetes and associated disorders (1 paper), Groundwater flow and contamination studies (1 paper), Groundwater and Isotope Geochemistry (1 paper) and Pneumonia and Respiratory Infections (1 paper). The work is most often cited by research in Infectious Diseases (480 citations), Immunology (245 citations), Neurology (108 citations), Genetics (175 citations) and Modeling and Simulation (24 citations). Alison Harrison has collaborated with scholars based in United Kingdom, Ireland and United States. Frequent co-authors include Paul S. Giller, Rasmus B. Lauridsen, Mark G.J. Hartl, Mary Kelly‐Quinn, John A. O'Halloran, Cristina C. Hendrix, J. Pursley, Robert David Smith, Beth Ann Martin and Mary T. Champagne. Their work appears in journals such as Nature, Water Air & Soil Pollution, Human Genetics and Genomics Advances, JAMA Oncology and The Lancet.

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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