Justine Shults
- Public Health, Environmental and Occupational Health top 0.5%
- Epidemiology top 1%
- Physiology top 1%
- Pediatrics, Perinatology and Child Health top 0.5%
- Pulmonary and Respiratory Medicine top 1%
- Co-authors
- Mary B. LeonardBabette S. ZemelJay D. AmsterdamVirginia A. StallingsJon M. BurnhamBethany J. FosterArdythe L. MorrowNicolas Stettler
- Topics
- Statistical Methods and Bayesian Inference (28 papers)Statistical Methods and Inference (21 papers)Obesity, Physical Activity, Diet (21 papers)
- Partner nations
- United StatesCanadaItaly
In The Last Decade
Justine Shults
299 papers receiving 11.3k citations
Hit Papers
Peers
Comparison fields: 5 of 185
- Public Health, Environmental and Occupational Health 2.3k
- Epidemiology 1.8k
- Physiology 1.6k
- Pediatrics, Perinatology and Child Health 1.5k
- Pulmonary and Respiratory Medicine 1.4k
Countries citing papers authored by Justine Shults
This map shows the geographic impact of Justine Shults'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 Justine Shults with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justine Shults more than expected).
Fields of papers citing papers by Justine Shults
This network shows the impact of papers produced by Justine Shults. 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 Justine Shults. The network helps show where Justine Shults may publish in the future.
Co-authorship network of co-authors of Justine Shults
This figure shows the co-authorship network connecting the top 25 collaborators of Justine Shults. A scholar is included among the top collaborators of Justine Shults 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 Justine Shults. Justine Shults is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 6 | |
| 7 | 21 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 7 | |
| 11 | 26 | |
| 12 | 0 | |
| 13 | 8 | |
| 14 | 139 | |
| 15 | 23 | |
| 16 | %QLS SAS Macro: A SAS Macro for Analysis of Correlated Data Using Quasi-Least Squares | 1 |
| 17 | GEEQBOX: A MATLAB Toolbox for Generalized Estimating Equations and Quasi-Least Squares | 12 |
| 18 | 22 | |
| 19 | Improved generalized estimating equation analysis via xtqls for implementation of quasi-least squares in Stata | 20 |
| 20 | 123I-ADAM binding to serotonin transporters in patients with major depression and healthy controls: a preliminary study. | 98 |
About Justine Shults
Justine Shults is a scholar working on Transplantation, Nephrology and Statistics and Probability, having authored 313 papers that have together received 11.8k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (28 papers), Statistical Methods and Inference (21 papers) and Obesity, Physical Activity, Diet (21 papers). The work is most often cited by research in Transplantation (359 citations), Orthopedics and Sports Medicine (1.1k citations) and Nephrology (837 citations). Justine Shults has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Mary B. Leonard, Babette S. Zemel, Jay D. Amsterdam, Virginia A. Stallings, Jon M. Burnham, Bethany J. Foster, Ardythe L. Morrow, Nicolas Stettler, Peter P. Reese and Sarah J. Ratcliffe. Their work appears in journals such as New England Journal of Medicine, The Lancet and JAMA.
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.