Jack Ingham

2.3k citations
8 papers · 1.7k · 5 hit papers · h-index 7

Impact in

Papers in

Jack Ingham

8 papers receiving 1.7k citations

Jack Ingham'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

Jack Ingham
Comparison fields: 5 of 89
  • Infectious Diseases 1.3k
  • Applied Microbiology and Biotechnology 35
  • Internal Medicine 27
  • Oncology 92
  • Statistics and Probability 45
Replace Martin D. Knolle with:
Martin D. Knolle United Kingdom
Laura J. Kitto United Kingdom
Mark Kačar United Kingdom
Clement Lai United Kingdom
Helen Cook United Kingdom
Angela Parker Australia
Laura Pannell United Kingdom
Sarah Gee United Kingdom
Craig Balmforth United Kingdom
Maryam Hamdollah‐Zadeh United Kingdom
Jack Ingham relative to Martin D. Knolle United Kingdom Martin D. Knolle's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jack Ingham

Since Specialization
Citations

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

Fields of papers citing papers by Jack Ingham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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 →
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 2022128
7
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
8 20202

About Jack Ingham

Jack Ingham is a scholar working on Infectious Diseases, Immunology and Allergy, Cell Biology, Molecular Biology and Nuclear Energy and Engineering, having authored 8 papers that have together received 1.7k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (7 papers), Cell Adhesion Molecules Research (1 paper), Skin and Cellular Biology Research (1 paper) and Bioinformatics and Genomic Networks (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), Oncology (92 citations) and Statistics and Probability (45 citations). Jack Ingham has collaborated with scholars based in United Kingdom, Vietnam and United States. Their work appears in journals such as The Lancet, Emergency Medicine Journal and Science Advances.

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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