Jonathan J Deeks
Impact in
- Statistics, Probability and Uncertainty top 0.02%
- Meta-analysis and systematic reviews
- Infectious Diseases top 0.05%
- Tuberculosis Research and Epidemiology
Papers in
-
- Meta-analysis and systematic reviews 53
-
- Tuberculosis Research and Epidemiology 24
- SARS-CoV-2 detection and testing 15
- COVID-19 Clinical Research Studies 9
- Co-authors
- Douglas G. Altman (22 shared papers)Julian P. T. Higgins (10 shared papers)Simon G. Thompson (1 shared paper)Petra Macaskill (4 shared papers)Richard Riley (18 shared papers)Les Irwig (2 shared papers)Jacqueline Dinnes (47 shared papers)Jonathan A C Sterne (11 shared papers)
- Journals
- Cochrane Database of Systematic Reviews (57 papers)Health Technology Assessment (23 papers)BMJ (17 papers)Journal of Clinical Epidemiology (14 papers)The Lancet (9 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Jonathan J Deeks
370 papers receiving 98.3k citations
Jonathan J Deeks's Hit Papers
Peers
Comparison fields: 5 of 227
- Statistics, Probability and Uncertainty 3.2k
- Infectious Diseases 6.2k
- Epidemiology 10.2k
- Surgery 12.4k
- Psychiatry and Mental health 4.0k
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-authors
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
Showing the 20 most-cited of 376 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Measuring inconsistency in meta-analyses Hit paper breakdown → | 2003 | 50669 |
| 2 | Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials Hit paper breakdown → | 2011 | 5898 |
| 3 | The performance of tests of publication bias and other sample size effects in systematic reviews of diagnostic test accuracy was assessed Hit paper breakdown → | 2005 | 2430 |
| 4 | Evaluating non-randomised intervention studies Hit paper breakdown → | 2003 | 2421 |
| 5 | Chapter 9: Analysing Data and Undertaking Meta-Analyses Hit paper breakdown → | 2008 | 2395 |
| 6 | Interpretation of random effects meta-analyses Hit paper breakdown → | 2011 | 2186 |
| 7 | Diagnostic tests 4: likelihood ratios Hit paper breakdown → | 2004 | 1250 |
| 8 | Systematic reviews of evaluations of diagnostic and screening tests Hit paper breakdown → | 2001 | 1179 |
| 9 | Accuracy of FibroScan Controlled Attenuation Parameter and Liver Stiffness Measurement in Assessing Steatosis and Fibrosis in Patients With Nonalcoholic Fatty Liver Disease Hit paper breakdown → | 2019 | 1031 |
| 10 | Systematic Reviews of Diagnostic Test Accuracy Hit paper breakdown → | 2008 | 948 |
| 11 | Metan: Fixed- and Random-Effects Meta-Analysis Hit paper breakdown → | 2008 | 900 |
| 12 | Rapid, point-of-care antigen and molecular-based tests for diagnosis of SARS-CoV-2 infection Hit paper breakdown → | 2020 | 871 |
| 13 | Influence of Reported Study Design Characteristics on Intervention Effect Estimates From Randomized, Controlled Trials Hit paper breakdown → | 2012 | 815 |
| 14 | Much ado about nothing: a comparison of the performance of meta‐analytical methods with rare events Hit paper breakdown → | 2006 | 743 |
| 15 | Cellular immune correlates of protection against symptomatic pandemic influenza Hit paper breakdown → | 2013 | 681 |
| 16 | Schizophrenia and suicide: Systematic review of risk factors Hit paper breakdown → | 2005 | 629 |
| 17 | A unification of models for meta-analysis of diagnostic accuracy studies Hit paper breakdown → | 2006 | 624 |
| 18 | Chapter 16: Special Topics in Statistics Hit paper breakdown → | 2008 | 624 |
| 19 | 2002 | 621 | |
| 20 | Prospective Evaluation of Criteria for Microbiological Diagnosis of Prosthetic-Joint Infection at Revision Arthroplasty Hit paper breakdown → | 1998 | 598 |
About Jonathan J Deeks
Jonathan J Deeks is a scholar working on Statistics, Probability and Uncertainty, Infectious Diseases, Epidemiology, Statistics and Probability and Pediatrics, Perinatology and Child Health, having authored 376 papers that have together received 100.9k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (53 papers), Tuberculosis Research and Epidemiology (24 papers), Health Systems, Economic Evaluations, Quality of Life (22 papers), Cutaneous Melanoma Detection and Management (16 papers), SARS-CoV-2 detection and testing (15 papers), Statistical Methods in Clinical Trials (12 papers), Ovarian cancer diagnosis and treatment (11 papers) and COVID-19 Clinical Research Studies (9 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (3.2k citations), Infectious Diseases (6.2k citations), Epidemiology (10.2k citations), Surgery (12.4k citations) and Psychiatry and Mental health (4.0k 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 Riley, Les Irwig, Jacqueline Dinnes, Jonathan A C Sterne, Yemisi Takwoingi and Roger M. Harbord. Their work appears in journals such as Cochrane Database of Systematic Reviews, Health Technology Assessment, BMJ, Journal of Clinical Epidemiology and The Lancet.
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.