Stephen Duberley

4.1k citations
21 papers · 2.8k · 6 hit papers · h-index 20

Impact in

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

Papers in

    • COVID-19 Clinical Research Studies 5
    • SARS-CoV-2 and COVID-19 Research 3
    • Intracerebral and Subarachnoid Hemorrhage Research 3

Stephen Duberley

21 papers receiving 2.7k citations

Stephen Duberley's Hit Papers

GWAS and meta-analysis identifies 49 genetic variants underlying critical COVID-19 2023 · 121 citations
1210+1+3Years since publication100200300400

Peers

Stephen Duberley
Comparison fields: 5 of 110
  • Infectious Diseases 1.3k
  • Neurology 690
  • Internal Medicine 100
  • Applied Microbiology and Biotechnology 52
  • Critical Care and Intensive Care Medicine 110
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Countries citing papers authored by Stephen Duberley

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Duberley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Azithromycin in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial
Hit paper breakdown →
2021403
2
Convalescent plasma in patients admitted to hospital with COVID-19 (RECOVERY): a randomised controlled, open-label, platform trial
Hit paper breakdown →
2021381
3
Casirivimab and imdevimab in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial
Hit paper breakdown →
2022282
4
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
5 2018214
6
Aspirin in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial
Hit paper breakdown →
2021211
7 2021163
8 2019145
9
GWAS and meta-analysis identifies 49 genetic variants underlying critical COVID-19
Hit paper breakdown →
2023121
10 2022104
11 202299
12 202383
13 201971
14 202170
15 202356
16 202345
17 202142
18 202334
19 202132
20 202022

About Stephen Duberley

Stephen Duberley is a scholar working on Infectious Diseases, Neurology, Immunology, Rehabilitation and Nutrition and Dietetics, having authored 21 papers that have together received 2.8k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (5 papers), Intracerebral and Subarachnoid Hemorrhage Research (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), interferon and immune responses (2 papers), Diabetes and associated disorders (1 paper), Stroke Rehabilitation and Recovery (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and Vitamin C and Antioxidants Research (1 paper). The work is most often cited by research in Infectious Diseases (1.3k citations), Neurology (690 citations), Internal Medicine (100 citations), Applied Microbiology and Biotechnology (52 citations) and Critical Care and Intensive Care Medicine (110 citations). Stephen Duberley has collaborated with scholars based in Australia, United Kingdom and Italy. Their work appears in journals such as The Lancet, JAMA, Nature, The Lancet Neurology and British Journal of Anaesthesia.

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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