Jonathan J Deeks
- Statistics, Probability and Uncertainty top 0.02%
- Meta-analysis and systematic reviews 57
- Epidemiology top 0.02%
- Mycobacterium research and diagnosis 16
- Surgery top 0.01%
- Psychiatry and Mental health top 0.05%
- Infectious Diseases top 0.05%
- Tuberculosis Research and Epidemiology 23
- SARS-CoV-2 detection and testing 19
- SARS-CoV-2 and COVID-19 Research 15
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- Health Systems, Economic Evaluations, Quality of Life 34
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- Statistical Methods in Clinical Trials 18
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- Cutaneous Melanoma Detection and Management 17
- Co-authors
- Douglas G. AltmanJulian P. T. HigginsSimon G. ThompsonPetra MacaskillRichard D RileyLes IrwigJonathan A C SterneJacqueline Dinnes
- Journals
- Cochrane Database of Systematic Reviews (68 papers)Health Technology Assessment (23 papers)BMJ (19 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Jonathan J Deeks
363 papers receiving 94.6k citations
Hit Papers
Peers
Comparison fields: 5 of 228
- Statistics, Probability and Uncertainty 3.5k
- Epidemiology 16.8k
- Surgery 20.0k
- Psychiatry and Mental health 6.6k
- Infectious Diseases 7.7k
Countries citing papers authored by Jonathan J Deeks
This map shows the geographic impact of Jonathan J Deeks'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 Jonathan J Deeks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan J Deeks more than expected).
Fields of papers citing papers by Jonathan J Deeks
This network shows the impact of papers produced by Jonathan J Deeks. 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 Jonathan J Deeks. The network helps show where Jonathan J Deeks may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jonathan J Deeks, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 6 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 33 | |
| 6 | 2022 | 3 | |
| 7 | 2022 | 18 | |
| 8 | 2021 | 44 | |
| 9 | Point-of-care tests detecting HIV nucleic acids for diagnosis of HIV-1 or HIV-2 infection in infants and children aged 18 months or less | 2021 | 12 |
| 10 | 2020 | 5 | |
| 11 | 2020 | 3 | |
| 12 | 2019 | 30 | |
| 13 | 2018 | 18 | |
| 14 | 2018 | 21 | |
| 15 | 2017 | 28 | |
| 16 | 2012 | 115 | |
| 17 | 2011 | 257 | |
| 18 | 2004 | 115 | |
| 19 | 1999 | 13 | |
| 20 | Home parenteral nutrition: a systematic review. | 1997 | 66 |
About Jonathan J Deeks
Jonathan J Deeks is a scholar working on Statistics, Probability and Uncertainty, Infectious Diseases and Statistics and Probability, having authored 368 papers that have together received 96.6k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (57 papers), Health Systems, Economic Evaluations, Quality of Life (34 papers), Tuberculosis Research and Epidemiology (23 papers), SARS-CoV-2 detection and testing (19 papers), Statistical Methods in Clinical Trials (18 papers), Cutaneous Melanoma Detection and Management (17 papers), Mycobacterium research and diagnosis (16 papers) and SARS-CoV-2 and COVID-19 Research (15 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (3.5k citations), Epidemiology (16.8k citations) and Surgery (20.0k citations). Jonathan J Deeks has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Douglas G. Altman, Julian P. T. Higgins, Simon G. Thompson, Petra Macaskill, Richard D Riley, Les Irwig, Jonathan A C Sterne, Jacqueline Dinnes, Roger Harbord and Yemisi Takwoingi. Their work appears in journals such as Cochrane Database of Systematic Reviews, Health Technology Assessment, BMJ, Journal of Clinical Epidemiology and Trials.
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.