Julie Legler
- Oncology top 2%
- Pulmonary and Respiratory Medicine top 2%
- Economics and Econometrics top 2%
- Epidemiology top 5%
- Surgery top 5%
- Co-authors
- Joan L. WarrenCarrie N. KlabundeArnold L. PotoskyLouise RyanLaura‐Mae BaldwinDeborah SchragMary D. SammelPaul Roback
- Topics
- Statistical Methods and Bayesian Inference (5 papers)Statistical Methods in Clinical Trials (5 papers)Global Cancer Incidence and Screening (4 papers)
- Partner nations
- United StatesSwitzerlandPakistan
In The Last Decade
Julie Legler
27 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Oncology 1.3k
- Pulmonary and Respiratory Medicine 908
- Economics and Econometrics 594
- Epidemiology 558
- Surgery 548
Countries citing papers authored by Julie Legler
This map shows the geographic impact of Julie Legler'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 Legler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julie Legler more than expected).
Fields of papers citing papers by Julie Legler
This network shows the impact of papers produced by Julie Legler. 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 Legler. The network helps show where Julie Legler may publish in the future.
Co-authorship network of co-authors of Julie Legler
This figure shows the co-authorship network connecting the top 25 collaborators of Julie Legler. A scholar is included among the top collaborators of Julie Legler 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 Legler. Julie Legler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 49 | |
| 2 | Beyond Multiple Linear Regression: Applied Generalized Linear Models And Multilevel Models in R | 7 |
| 3 | STAT2: Modeling with Regression and ANOVA | 6 |
| 4 | STAT2: Building Models for a World of Data | 11 |
| 5 | 10 | |
| 6 | 49 | |
| 7 | 416 | |
| 8 | 9 | |
| 9 | 22 | |
| 10 | 83 | |
| 11 | Development of a comorbidity index using physician claims databreakdown → | 1649 |
| 12 | 9 | |
| 13 | 124 | |
| 14 | 22 | |
| 15 | 1 | |
| 16 | 47 | |
| 17 | 9 | |
| 18 | 175 | |
| 19 | 7 | |
| 20 | 8 |
About Julie Legler
Julie Legler is a scholar working on Statistics and Probability, Geriatrics and Gerontology and Health Information Management, having authored 27 papers that have together received 3.6k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (5 papers), Statistical Methods in Clinical Trials (5 papers) and Global Cancer Incidence and Screening (4 papers). The work is most often cited by research in Oncology (1.3k citations), Statistics and Probability (366 citations) and Geriatrics and Gerontology (138 citations). Julie Legler has collaborated with scholars based in United States, Switzerland and Pakistan. Frequent co-authors include Joan L. Warren, Carrie N. Klabunde, Arnold L. Potosky, Louise Ryan, Laura‐Mae Baldwin, Deborah Schrag, Mary D. Sammel, Paul Roback, Cathy A. Coyne and Helen I. Meissner. Their work appears in journals such as Journal of the American Statistical Association, Stroke and Journal of Clinical Epidemiology.
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.