Julie Pildal
- Statistics, Probability and Uncertainty top 0.5%
- Epidemiology top 10%
- Surgery top 10%
- Economics and Econometrics top 5%
- Hepatology top 5%
- Co-authors
- Douglas G. AltmanPeter C GøtzscheAsbjørn HróbjartssonChristian GluudDavid MoherHayley E JonesJonathan A C SterneJonathan J Deeks
- Topics
- Meta-analysis and systematic reviews (6 papers)Health Systems, Economic Evaluations, Quality of Life (4 papers)Statistical Methods in Clinical Trials (2 papers)
- Journals
- Annals of Internal MedicineThe Journal of Clinical Endocrinology & MetabolismClinical Infectious Diseases
- Partner nations
- DenmarkCanadaUnited Kingdom
In The Last Decade
Julie Pildal
13 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Statistics, Probability and Uncertainty 526
- Epidemiology 434
- Surgery 324
- Economics and Econometrics 320
- Hepatology 280
Countries citing papers authored by Julie Pildal
This map shows the geographic impact of Julie Pildal'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 Julie Pildal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julie Pildal more than expected).
Fields of papers citing papers by Julie Pildal
This network shows the impact of papers produced by Julie Pildal. 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 Julie Pildal. The network helps show where Julie Pildal may publish in the future.
Co-authorship network of co-authors of Julie Pildal
This figure shows the co-authorship network connecting the top 25 collaborators of Julie Pildal. A scholar is included among the top collaborators of Julie Pildal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Julie Pildal. Julie Pildal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Influence of Reported Study Design Characteristics on Intervention Effect Estimates From Randomized, Controlled Trialsbreakdown → | 768 |
| 2 | Influence of reported study design characteristics on intervention effect estimates from randomised controlled trials: combined analysis of meta-epidemiological studies.breakdown → | 519 |
| 3 | 14 | |
| 4 | 36 | |
| 5 | 2 | |
| 6 | 346 | |
| 7 | 145 | |
| 8 | 85 | |
| 9 | 7 | |
| 10 | [Systemic and local allergy to human insulin]. | 4 |
| 11 | 19 | |
| 12 | 8 | |
| 13 | 12 |
About Julie Pildal
Julie Pildal is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Economics and Econometrics, having authored 13 papers that have together received 2.0k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (6 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers) and Statistical Methods in Clinical Trials (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (526 citations), Hepatology (280 citations) and Statistics and Probability (187 citations). Julie Pildal has collaborated with scholars based in Denmark, Canada and United Kingdom. Frequent co-authors include Douglas G. Altman, Peter C Gøtzsche, Asbjørn Hróbjartsson, Christian Gluud, David Moher, Hayley E Jones, Jonathan A C Sterne, Jonathan J Deeks, Lise Lotte Gluud and Jelena Savović. Their work appears in journals such as Annals of Internal Medicine, The Journal of Clinical Endocrinology & Metabolism and Clinical Infectious Diseases.
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.