William Mears

2.2k citations
10 papers · 1.7k · 5 hit papers · h-index 8

Impact in

Papers in

William Mears

10 papers receiving 1.6k citations

William Mears's Hit Papers

Higher dose corticosteroids in patients admitted to hospital with COVID-19 who are hypoxic but not requiring ventilatory support (RECOVERY): a randomised, controlled, open-label, platform trial 2023 · 84 citations
840+1+3Years since publication100200300400

Peers

William Mears
Comparison fields: 5 of 82
  • Infectious Diseases 1.3k
  • Applied Microbiology and Biotechnology 35
  • Internal Medicine 27
  • Statistics and Probability 47
  • Oncology 75
Replace Niyaz Abdulshukkoor with:
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Sarah Harrhy United Kingdom
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Bengisu Bassoy United Kingdom
Ellie Forsey United Kingdom
Sara Brigham United Kingdom
Nicky Leitch United Kingdom
Sinmidele Fawohunre United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by William Mears

Since Specialization
Citations

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

Fields of papers citing papers by William Mears

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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All Works

10 of 10 papers shown
#Work
1
Azithromycin in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial
Hit paper breakdown →
2021411
2
Convalescent plasma in patients admitted to hospital with COVID-19 (RECOVERY): a randomised controlled, open-label, platform trial
Hit paper breakdown →
2021393
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 →
2022231
5 2021213
6
Higher dose corticosteroids in patients admitted to hospital with COVID-19 who are hypoxic but not requiring ventilatory support (RECOVERY): a randomised, controlled, open-label, platform trial
Hit paper breakdown →
202384
7 202325
8 202424
9 20255
10 20252

About William Mears

William Mears is a scholar working on Infectious Diseases, Surgery, Nuclear Energy and Engineering, Waste Management and Disposal and Organic Chemistry, having authored 10 papers that have together received 1.7k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (9 papers) and Kawasaki Disease and Coronary Complications (1 paper). The work is most often cited by research in Infectious Diseases (1.3k citations), Applied Microbiology and Biotechnology (35 citations), Internal Medicine (27 citations), Statistics and Probability (47 citations) and Oncology (75 citations). William Mears has collaborated with scholars based in United Kingdom, Vietnam and Nepal. Their work appears in journals such as The Lancet, EClinicalMedicine, The Lancet Infectious Diseases, The Lancet Diabetes & Endocrinology and The Lancet Child & Adolescent Health.

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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