Sofia Dias
Impact in
-
- Meta-analysis and systematic reviews
- Statistics and Probability top 0.5%
- Statistical Methods in Clinical Trials
Papers in
-
- Meta-analysis and systematic reviews 39
-
- Statistical Methods in Clinical Trials 27
- Statistical Methods and Bayesian Inference 9
- Co-authors
- Nicky J. Welton (86 shared papers)A. E. Ades (48 shared papers)Alex J. Sutton (21 shared papers)Deborah M Caldwell (31 shared papers)David Phillippo (18 shared papers)Guobing Lu (5 shared papers)Gert van Valkenhoef (1 shared paper)Kayleigh M Kew (3 shared papers)
- Journals
- Cochrane Database of Systematic Reviews (19 papers)Research Synthesis Methods (14 papers)Medical Decision Making (12 papers)Value in Health (11 papers)Health Technology Assessment (11 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Sofia Dias
164 papers receiving 11.6k citations
Sofia Dias's Hit Papers
Peers
Comparison fields: 5 of 180
- Statistics, Probability and Uncertainty 1.3k
- Statistics and Probability 792
- Obstetrics and Gynecology 473
- Internal Medicine 211
- Experimental and Cognitive Psychology 728
Countries citing papers authored by Sofia Dias
This map shows the geographic impact of Sofia Dias'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 Sofia Dias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sofia Dias more than expected).
Fields of papers citing papers by Sofia Dias
This network shows the impact of papers produced by Sofia Dias. 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 Sofia Dias. The network helps show where Sofia Dias may publish in the future.
Co-authors
The 25 scholars most cited alongside Sofia Dias, 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 173 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Checking consistency in mixed treatment comparison meta‐analysis Hit paper breakdown → | 2010 | 1878 |
| 2 | Evidence Synthesis for Decision Making 2 Hit paper breakdown → | 2012 | 973 |
| 3 | Evidence Synthesis for Decision Making 4 Hit paper breakdown → | 2013 | 583 |
| 4 | Consolidated standards of reporting trials (CONSORT) and the completeness of reporting of randomised controlled trials (RCTs) published in medical journals Hit paper breakdown → | 2012 | 545 |
| 5 | NICE DSU Technical Support Document 2: A Generalised Linear Modelling Framework for Pairwise and Network Meta-Analysis of Randomised Controlled Trials Hit paper breakdown → | 2011 | 503 |
| 6 | Automated generation of node‐splitting models for assessment of inconsistency in network meta‐analysis Hit paper breakdown → | 2015 | 477 |
| 7 | Psychological and pharmacological interventions for social anxiety disorder in adults: a systematic review and network meta-analysis Hit paper breakdown → | 2014 | 470 |
| 8 | Oral anticoagulants for prevention of stroke in atrial fibrillation: systematic review, network meta-analysis, and cost effectiveness analysis Hit paper breakdown → | 2017 | 396 |
| 9 | Evidence Synthesis for Decision Making 3 Hit paper breakdown → | 2013 | 370 |
| 10 | 2006 | 263 | |
| 11 | Network Meta‐Analysis for Decision Making Hit paper breakdown → | 2018 | 254 |
| 12 | Methods for Population-Adjusted Indirect Comparisons in Health Technology Appraisal Hit paper breakdown → | 2017 | 253 |
| 13 | How does exercise treatment compare with antihypertensive medications? A network meta-analysis of 391 randomised controlled trials assessing exercise and medication effects on systolic blood pressure Hit paper breakdown → | 2018 | 222 |
| 14 | 2014 | 194 | |
| 15 | NICE DSU Technical Support Document 4: Inconsistency in Networks of Evidence Based on Randomised Controlled Trials. | 2011 | 171 |
| 16 | 2017 | 149 | |
| 17 | NICE DSU TECHNICAL SUPPORT DOCUMENT 3: HETEROGENEITY: SUBGROUPS, META-REGRESSION, BIAS AND BIAS-ADJUSTMENT | 2011 | 143 |
| 18 | 2014 | 140 | |
| 19 | 2013 | 134 | |
| 20 | NICE DSU Technical Support Document 18: Methods for population-adjusted indirect comparisons in submissions to NICE | 2016 | 133 |
About Sofia Dias
Sofia Dias is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability, Economics and Econometrics, Experimental and Cognitive Psychology and Pulmonary and Respiratory Medicine, having authored 173 papers that have together received 11.8k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (39 papers), Health Systems, Economic Evaluations, Quality of Life (27 papers), Statistical Methods in Clinical Trials (27 papers), Mental Health Research Topics (10 papers), Statistical Methods and Bayesian Inference (9 papers), Asthma and respiratory diseases (7 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (7 papers) and Maternal and Perinatal Health Interventions (6 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (1.3k citations), Statistics and Probability (792 citations), Obstetrics and Gynecology (473 citations), Internal Medicine (211 citations) and Experimental and Cognitive Psychology (728 citations). Sofia Dias has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Nicky J. Welton, A. E. Ades, Alex J. Sutton, Deborah M Caldwell, David Phillippo, Guobing Lu, Gert van Valkenhoef, Kayleigh M Kew, Ifigeneia Mavranezouli and Stephen Pilling. Their work appears in journals such as Cochrane Database of Systematic Reviews, Research Synthesis Methods, Medical Decision Making, Value in Health and Health Technology Assessment.
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.