Deepa Japp

2.2k citations
7 papers · 1.6k · 5 hit papers · h-index 7

Impact in

Papers in

Deepa Japp

7 papers receiving 1.6k citations

Deepa Japp'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

Deepa Japp
Comparison fields: 5 of 80
  • Infectious Diseases 1.3k
  • Applied Microbiology and Biotechnology 35
  • Internal Medicine 27
  • Statistics and Probability 45
  • Oncology 75
Replace Fiona Hayes with:
Fiona Hayes United Kingdom
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Jaikumar Ganapathi United Kingdom
Magdalena Kołodziej United Kingdom
Ciara Fenton United Kingdom
Ahmed Feroz United Kingdom
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Citations per year

Countries citing papers authored by Deepa Japp

Since Specialization
Citations

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

Fields of papers citing papers by Deepa Japp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside Deepa Japp, 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 Deepa Japp Line = papers co-authored together Deepa Japp links everyone, so they are left out of the graph.

All Works

7 of 7 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 201615

About Deepa Japp

Deepa Japp is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine, Nuclear Energy and Engineering, Waste Management and Disposal and Organic Chemistry, having authored 7 papers that have together received 1.6k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (6 papers) and Heart Failure Treatment and Management (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 (45 citations) and Oncology (75 citations). Deepa Japp has collaborated with scholars based in United Kingdom, Vietnam and Nepal. Frequent co-authors include Susan Deborah Shenkin, Alan G. Japp, Anoop S.V. Shah and Martin A. Denvir. Their work appears in journals such as The Lancet and Age and Ageing.

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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