Danielle Burke
Impact in
-
- Meta-analysis and systematic reviews
- Statistics and Probability top 2%
- Statistical Methods in Clinical Trials
- Statistical Methods and Bayesian Inference
Papers in
-
- Meta-analysis and systematic reviews 11
-
- Statistical Methods in Clinical Trials 6
- Statistical Methods and Bayesian Inference 5
- Co-authors
- Richard D Riley (16 shared papers)Joie Ensor (10 shared papers)Kym I E Snell (6 shared papers)Karel G.M. Moons (2 shared papers)Gary S. Collins (2 shared papers)Frank E. Harrell (2 shared papers)Kurt R. Stenmark (5 shared papers)Maria G. Frid (4 shared papers)
- Journals
- Statistics in Medicine (6 papers)American Journal of Physiology-Lung Cellular and Molecular Physiology (2 papers)Malaria Journal (2 papers)Statistical Methods in Medical Research (2 papers)The Journal of Immunology (1 paper)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Danielle Burke
34 papers receiving 2.7k citations
Danielle Burke's Hit Papers
Peers
Comparison fields: 5 of 164
- Statistics, Probability and Uncertainty 214
- Statistics and Probability 175
- Pulmonary and Respiratory Medicine 529
- Urology 100
- Pediatrics, Perinatology and Child Health 251
Countries citing papers authored by Danielle Burke
This map shows the geographic impact of Danielle Burke'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 Danielle Burke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Burke more than expected).
Fields of papers citing papers by Danielle Burke
This network shows the impact of papers produced by Danielle Burke. 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 Danielle Burke. The network helps show where Danielle Burke may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle Burke, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Minimum sample size for developing a multivariable prediction model: PART II ‐ binary and time‐to‐event outcomes Hit paper breakdown → | 2018 | 630 |
| 2 | 2006 | 365 | |
| 3 | Meta-analysis using individual participant data: one-stage and two-stage approaches, and why they may differ Hit paper breakdown → | 2016 | 293 |
| 4 | 2013 | 248 | |
| 5 | 2017 | 181 | |
| 6 | 2018 | 177 | |
| 7 | 2009 | 146 | |
| 8 | 2021 | 78 | |
| 9 | 2004 | 73 | |
| 10 | 2018 | 68 | |
| 11 | 2016 | 66 | |
| 12 | 2009 | 62 | |
| 13 | 2013 | 39 | |
| 14 | 2019 | 26 | |
| 15 | 2009 | 23 | |
| 16 | 2022 | 21 | |
| 17 | 2018 | 19 | |
| 18 | 2020 | 19 | |
| 19 | 2018 | 18 | |
| 20 | 2005 | 17 |
About Danielle Burke
Danielle Burke is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability, Pulmonary and Respiratory Medicine, Surgery and Oncology, having authored 36 papers that have together received 2.7k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (11 papers), Statistical Methods in Clinical Trials (6 papers), Statistical Methods and Bayesian Inference (5 papers), Pulmonary Hypertension Research and Treatments (4 papers), Neonatal Respiratory Health Research (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Pediatric Urology and Nephrology Studies (2 papers) and Malaria Research and Control (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (214 citations), Statistics and Probability (175 citations), Pulmonary and Respiratory Medicine (529 citations), Urology (100 citations) and Pediatrics, Perinatology and Child Health (251 citations). Danielle Burke has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Richard D Riley, Joie Ensor, Kym I E Snell, Karel G.M. Moons, Gary S. Collins, Frank E. Harrell, Kurt R. Stenmark, Maria G. Frid, Neil Davie and Todd C. Carpenter. Their work appears in journals such as Statistics in Medicine, American Journal of Physiology-Lung Cellular and Molecular Physiology, Malaria Journal, Statistical Methods in Medical Research and The Journal of Immunology.
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.