Memory Mwadeyi

1.8k citations
9 papers · 1.4k · 3 hit papers · h-index 8

Impact in

Papers in

Memory Mwadeyi

8 papers receiving 1.3k citations

Memory Mwadeyi's Hit Papers

Casirivimab and imdevimab in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial 2022 · 282 citations
2820+1+3Years since publication100200300400

Peers

Memory Mwadeyi
Comparison fields: 5 of 80
  • Infectious Diseases 1.1k
  • Applied Microbiology and Biotechnology 34
  • Internal Medicine 27
  • Cardiology and Cardiovascular Medicine 79
  • Statistics and Probability 39
Replace Rosina Jarvis with:
Rosina Jarvis United Kingdom
Rebecca Osborne United Kingdom
Helen Mills Denmark
Josephine Chaplin United Kingdom
Eunice Mshengu United Kingdom
Leon Barker United Kingdom
Kaytie Ellis United Kingdom
Deepa Japp United Kingdom
Jesha Mathews United Kingdom
Lynn Evans United Kingdom
Memory Mwadeyi relative to Rosina Jarvis United Kingdom Rosina Jarvis's profile →
Citations per field
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Rosina Jarvis · 1×
Citations per year

Countries citing papers authored by Memory Mwadeyi

Since Specialization
Citations

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

Fields of papers citing papers by Memory Mwadeyi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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All Works

9 of 9 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 2021213
5 202343
6 202424
7 202413
8 20249
9 20250

About Memory Mwadeyi

Memory Mwadeyi is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine, Surgery, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 9 papers that have together received 1.4k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (4 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), Atrial Fibrillation Management and Outcomes (2 papers) and Kawasaki Disease and Coronary Complications (1 paper). The work is most often cited by research in Infectious Diseases (1.1k citations), Applied Microbiology and Biotechnology (34 citations), Internal Medicine (27 citations), Cardiology and Cardiovascular Medicine (79 citations) and Statistics and Probability (39 citations). Memory Mwadeyi has collaborated with scholars based in United Kingdom, Vietnam and Nepal. Their work appears in journals such as The Lancet, European Heart Journal, British Journal of Anaesthesia, JAMA and Stroke.

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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