Frederick Magezi

1.9k citations
12 papers · 1.4k · 4 hit papers · h-index 9

Impact in

Papers in

Frederick Magezi

11 papers receiving 1.4k citations

Frederick Magezi'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 publication100200300

Peers

Frederick Magezi
Comparison fields: 5 of 84
  • Infectious Diseases 962
  • Internal Medicine 28
  • Epidemiology 158
  • Neurology 59
  • Statistics and Probability 37
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Citations per year

Countries citing papers authored by Frederick Magezi

Since Specialization
Citations

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

Fields of papers citing papers by Frederick Magezi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 1 scholars most cited alongside Frederick Magezi, 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 Frederick Magezi Line = papers co-authored together Frederick Magezi links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Convalescent plasma in patients admitted to hospital with COVID-19 (RECOVERY): a randomised controlled, open-label, platform trial
Hit paper breakdown →
2021393
2
Casirivimab and imdevimab in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial
Hit paper breakdown →
2022282
3
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
4 2021213
5 2019155
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 201924
9 202424
10 20255
11 20252
12 20190

About Frederick Magezi

Frederick Magezi is a scholar working on Infectious Diseases, Epidemiology, Cardiology and Cardiovascular Medicine, Surgery and Nuclear Energy and Engineering, having authored 12 papers that have together received 1.4k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (8 papers), Acute Ischemic Stroke Management (2 papers), Atrial Fibrillation Management and Outcomes (1 paper) and Kawasaki Disease and Coronary Complications (1 paper). The work is most often cited by research in Infectious Diseases (962 citations), Internal Medicine (28 citations), Epidemiology (158 citations), Neurology (59 citations) and Statistics and Probability (37 citations). Frederick Magezi has collaborated with scholars based in United Kingdom, Vietnam and Australia. Frequent co-authors include Martyn Patel. Their work appears in journals such as The Lancet, The Lancet Child & Adolescent Health, Journal of the American Heart Association, EClinicalMedicine and The Lancet Infectious Diseases.

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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