Daniel Buttress

2.5k citations
12 papers · 1.8k · 5 hit papers · h-index 9

Impact in

Papers in

Daniel Buttress

12 papers receiving 1.8k citations

Daniel Buttress'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

Daniel Buttress
Comparison fields: 5 of 85
  • Infectious Diseases 1.3k
  • Ophthalmology 154
  • Applied Microbiology and Biotechnology 35
  • Internal Medicine 27
  • Statistics and Probability 47
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Buttress

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Buttress

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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All Works

12 of 12 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 2020160
7
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
8 202325
9 202424
10 20246
11 20255
12 20252

About Daniel Buttress

Daniel Buttress is a scholar working on Infectious Diseases, Ophthalmology, Surgery, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 12 papers that have together received 1.8k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (10 papers), Kawasaki Disease and Coronary Complications (1 paper) and Retinal Diseases and Treatments (1 paper). The work is most often cited by research in Infectious Diseases (1.3k citations), Ophthalmology (154 citations), Applied Microbiology and Biotechnology (35 citations), Internal Medicine (27 citations) and Statistics and Probability (47 citations). Daniel Buttress has collaborated with scholars based in United Kingdom, Vietnam and Nepal. Their work appears in journals such as The Lancet, EClinicalMedicine, Nature Communications, The Lancet Infectious Diseases and The Lancet Diabetes & Endocrinology.

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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