Danielle Burke

4.3k citations
35 papers · 2.5k indexed · 1 hit paper · h-index 18

Impact in

Papers in

Danielle Burke

34 papers receiving 2.5k citations

Hit Papers

Minimum sample size for developing a multivariable prediction model: PART II ‐ binary and time‐to‐event outcomes 2018 · 581 citations
5812018202620202023100200300400500

Peers

Danielle Burke
Comparison fields: 5 of 168
  • Statistics, Probability and Uncertainty 232
  • Statistics and Probability 215
  • Urology 150
  • Health Informatics 24
  • Pulmonary and Respiratory Medicine 572
Replace Jonathan Treadwell with:
Jonathan Treadwell United States
Susan Dutton United Kingdom
Tom Palmer United Kingdom
Alfred O. Berg United States
Nancy A Dreyer United States
W. Dale Plummer United States
Fares Alahdab United States
Neil Hawkins United Kingdom
Alexander Strasak Austria
Beth Devine United States
Danielle Burke relative to Jonathan Treadwell United States Jonathan Treadwell's profile →
Citations per field
00.5×
Jonathan Treadwell · 1×
Citations per year

Countries citing papers authored by Danielle Burke

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Danielle Burke Line = papers co-authored together Danielle Burke links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20224
3 202220
4 20211
5 20205
6 202018
7 20195
8
Minimum sample size for developing a multivariable prediction model: PART II ‐ binary and time‐to‐event outcomes
Hit paper breakdown →
2018581
9 201866
10 201818
11 201715
12 20176
13 2017178
14 20149
15 2013211
16 200958
17 200923
18 2009137
19 2006340
20 200473

About Danielle Burke

Danielle Burke is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability, Urology, Obstetrics and Gynecology and Pediatrics, Perinatology and Child Health, having authored 35 papers that have together received 2.5k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (11 papers), Statistical Methods in Clinical Trials (7 papers), Statistical Methods and Bayesian Inference (5 papers), Pulmonary Hypertension Research and Treatments (4 papers), Neonatal Respiratory Health Research (3 papers), Economic and Environmental Valuation (2 papers), Child Nutrition and Water Access (2 papers) and Congenital Diaphragmatic Hernia Studies (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (232 citations), Statistics and Probability (215 citations), Urology (150 citations), Health Informatics (24 citations) and Pulmonary and Respiratory Medicine (572 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, Frank E. Harrell, Gary S. Collins, 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 CHEST Journal.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026