Tabitha Tanqueray

803 citations
10 papers · 603 · 1 hit paper · h-index 4

Impact in

Papers in

    • Blood transfusion and management 2
    • Anesthesia and Pain Management 3
    • Enhanced Recovery After Surgery 2

Tabitha Tanqueray

9 papers receiving 572 citations

Tabitha Tanqueray's Hit Papers

Azithromycin in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial 2021 · 411 citations
4110+1+3Years since publication100200300400

Peers

Tabitha Tanqueray
Comparison fields: 5 of 59
  • Infectious Diseases 307
  • Applied Microbiology and Biotechnology 33
  • Biochemistry 25
  • Health Information Management 26
  • Critical Care and Intensive Care Medicine 12
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Tabitha Tanqueray relative to Mohamed Ramali United Kingdom Mohamed Ramali's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tabitha Tanqueray

Since Specialization
Citations

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

Fields of papers citing papers by Tabitha Tanqueray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Tabitha Tanqueray, 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 Tabitha Tanqueray Line = papers co-authored together Tabitha Tanqueray links everyone, so they are left out of the graph.

All Works

10 of 10 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 2019137
3 202127
4 201811
5 20094
6 20214
7 20103
8 20133
9 20253
10 20210

About Tabitha Tanqueray

Tabitha Tanqueray is a scholar working on Biochemistry, Surgery, Pediatrics, Perinatology and Child Health, Genetics and Health Information Management, having authored 10 papers that have together received 603 indexed citations. Recurring topics across this work include Anesthesia and Pain Management (3 papers), Blood transfusion and management (2 papers), Maternal and fetal healthcare (2 papers), Enhanced Recovery After Surgery (2 papers), Genetic Associations and Epidemiology (2 papers), Maternal and Perinatal Health Interventions (1 paper), COVID-19 Clinical Research Studies (1 paper) and Health Policy Implementation Science (1 paper). The work is most often cited by research in Infectious Diseases (307 citations), Applied Microbiology and Biotechnology (33 citations), Biochemistry (25 citations), Health Information Management (26 citations) and Critical Care and Intensive Care Medicine (12 citations). Tabitha Tanqueray has collaborated with scholars based in United Kingdom and Spain. Frequent co-authors include Laura Green, Teresa Pérez, Khalid Saeed Khan, Doris Lanz, Jahnavi Daru, María del Carmen Pardo, Daryl P. Dob and Steve M. Yentis. Their work appears in journals such as International Journal of Obstetric Anesthesia, British Journal of Anaesthesia, The Lancet and Anaesthesia.

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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