Hazel Guth

2.3k citations
8 papers · 1.6k · 5 hit papers · h-index 8

Impact in

Papers in

Hazel Guth

8 papers receiving 1.6k citations

Hazel Guth'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

Hazel Guth
Comparison fields: 5 of 98
  • Infectious Diseases 955
  • Applied Microbiology and Biotechnology 50
  • Neurology 357
  • Internal Medicine 56
  • Obstetrics and Gynecology 84
Replace Merhej Hannun with:
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Citations per field
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Citations per year

Countries citing papers authored by Hazel Guth

Since Specialization
Citations

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

Fields of papers citing papers by Hazel Guth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Hazel Guth, 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 Hazel Guth Line = papers co-authored together Hazel Guth links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Azithromycin in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial
Hit paper breakdown →
2021403
2
Convalescent plasma in patients admitted to hospital with COVID-19 (RECOVERY): a randomised controlled, open-label, platform trial
Hit paper breakdown →
2021381
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 →
2022230
5
Aspirin in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial
Hit paper breakdown →
2021211
6 202383
7 201123
8 199121

About Hazel Guth

Hazel Guth is a scholar working on Infectious Diseases, Emergency Medicine, Neurology, Surgery and Insect Science, having authored 8 papers that have together received 1.6k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (2 papers), Myasthenia Gravis and Thymoma (1 paper), Intraperitoneal and Appendiceal Malignancies (1 paper), Intestinal Malrotation and Obstruction Disorders (1 paper) and Appendicitis Diagnosis and Management (1 paper). The work is most often cited by research in Infectious Diseases (955 citations), Applied Microbiology and Biotechnology (50 citations), Neurology (357 citations), Internal Medicine (56 citations) and Obstetrics and Gynecology (84 citations). Hazel Guth has collaborated with scholars based in United Kingdom, Germany and Australia. Frequent co-authors include Stefan Falk, Gary W. Stutte, Hans‐Stefan Hofmann, Michael Ried, C. Diez and Berthold C. G. Schalke. Their work appears in journals such as The Lancet, The Thoracic and Cardiovascular Surgeon and European Journal of Pediatric Surgery.

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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