Deborah Warren

1.9k citations
8 papers · 1.1k · 3 hit papers · h-index 5

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

Deborah Warren

7 papers receiving 1.0k citations

Deborah Warren's Hit Papers

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

Peers

Deborah Warren
Comparison fields: 5 of 95
  • Infectious Diseases 480
  • Immunology 245
  • Neurology 110
  • Genetics 175
  • Modeling and Simulation 24
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Deborah Warren relative to Victoria Slater United Kingdom Victoria Slater's profile →
Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Deborah Warren

Since Specialization
Citations

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

Fields of papers citing papers by Deborah Warren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside Deborah Warren, 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 Deborah Warren Line = papers co-authored together Deborah Warren links everyone, so they are left out of the graph.

All Works

8 of 8 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 20248
6
Using a coma scale to assess patient consciousness levels.
20054
7 20181
8 20190

About Deborah Warren

Deborah Warren is a scholar working on Infectious Diseases, Emergency Medicine, Immunology, Epidemiology and Geriatrics and Gerontology, having authored 8 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), Cannabis and Cannabinoid Research (1 paper), Poisoning and overdose treatments (1 paper), Diverse Scientific Research Studies (1 paper), Respiratory viral infections research (1 paper) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Infectious Diseases (480 citations), Immunology (245 citations), Neurology (110 citations), Genetics (175 citations) and Modeling and Simulation (24 citations). Deborah Warren has collaborated with scholars based in United Kingdom and Canada. Frequent co-authors include Jake Timothy, David Mekhaiel, ZACK ZDENEK CERNOVSKY and Yves Bureau. Their work appears in journals such as Nature, Human Genetics and Genomics Advances and PubMed.

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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