Tim Old

1.8k citations
15 papers · 1.4k · 3 hit papers · h-index 5

Impact in

Papers in

Tim Old

10 papers receiving 1.3k citations

Tim Old'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

Tim Old
Comparison fields: 5 of 84
  • Infectious Diseases 1.1k
  • Applied Microbiology and Biotechnology 34
  • Internal Medicine 27
  • Statistics and Probability 38
  • Pulmonary and Respiratory Medicine 90
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Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Tim Old

Since Specialization
Citations

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

Fields of papers citing papers by Tim Old

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 2 scholars most cited alongside Tim Old, 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 Tim Old Line = papers co-authored together Tim Old links everyone, so they are left out of the graph.

All Works

15 of 15 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 2021213
5 202166
6 20215
7 20245
8 20233
9 20252
10 20241
11 20200
12 20240
13 20240
14 20240
15 20260

About Tim Old

Tim Old is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Epidemiology, Physiology and Human-Computer Interaction, having authored 15 papers that have together received 1.4k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (4 papers), Neonatal and Maternal Infections (4 papers), Simulation-Based Education in Healthcare (2 papers), Infection Control and Ventilation (1 paper), Virtual Reality Applications and Impacts (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Hepatitis B Virus Studies (1 paper) and Influenza Virus Research Studies (1 paper). The work is most often cited by research in Infectious Diseases (1.1k citations), Applied Microbiology and Biotechnology (34 citations), Internal Medicine (27 citations), Statistics and Probability (38 citations) and Pulmonary and Respiratory Medicine (90 citations). Tim Old has collaborated with scholars based in United Kingdom, Uganda and United States. Frequent co-authors include Richard Joiner and Stephen P. Kidd. Their work appears in journals such as Open Forum Infectious Diseases, The Lancet, Journal of Infection and Public Health, Clinical Infectious Diseases and ERJ Open Research.

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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