Mayur Kumar

1.9k citations
14 papers · 1.4k · 4 hit papers · h-index 10

Impact in

Papers in

    • COVID-19 Clinical Research Studies 9
    • SARS-CoV-2 and COVID-19 Research 1
    • COVID-19 and healthcare impacts 1

Mayur Kumar

14 papers receiving 1.3k citations

Mayur Kumar'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

Mayur Kumar
Comparison fields: 5 of 79
  • Infectious Diseases 1k
  • Internal Medicine 27
  • Oncology 84
  • Hematology 37
  • Statistics and Probability 34
Replace Laith Alghazawi with:
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Mayur Kumar relative to Laith Alghazawi United Kingdom Laith Alghazawi's profile →
Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Mayur Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Mayur Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 3 scholars most cited alongside Mayur Kumar, 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 Mayur Kumar Line = papers co-authored together Mayur Kumar links everyone, so they are left out of the graph.

All Works

14 of 14 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 202184
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 201910
10 201910
11 20245
12 20255
13 20252
14 20041

About Mayur Kumar

Mayur Kumar is a scholar working on Infectious Diseases, Oncology, Otorhinolaryngology, Surgery and Hepatology, having authored 14 papers that have together received 1.4k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (9 papers), COVID-19 and healthcare impacts (1 paper), Head and Neck Cancer Studies (1 paper), Abdominal Trauma and Injuries (1 paper), Radiation Dose and Imaging (1 paper), Medical Case Reports and Studies (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Kawasaki Disease and Coronary Complications (1 paper). The work is most often cited by research in Infectious Diseases (1k citations), Internal Medicine (27 citations), Oncology (84 citations), Hematology (37 citations) and Statistics and Probability (34 citations). Mayur Kumar has collaborated with scholars based in United Kingdom, Vietnam and Nepal. Frequent co-authors include Ray Mathew, Shyam Menon and Gibran Timothy Yusuf. Their work appears in journals such as The Lancet, EClinicalMedicine, The Lancet Diabetes & Endocrinology, The Lancet Child & Adolescent Health and Cancer Cell.

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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