Justin Slater

771 total citations · 1 hit paper
19 papers, 486 citations indexed

About

Justin Slater is a scholar working on Epidemiology, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Justin Slater has authored 19 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 3 papers in Pediatrics, Perinatology and Child Health and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Justin Slater's work include COVID-19 epidemiological studies (3 papers), Pediatric Urology and Nephrology Studies (3 papers) and Machine Learning in Healthcare (2 papers). Justin Slater is often cited by papers focused on COVID-19 epidemiological studies (3 papers), Pediatric Urology and Nephrology Studies (3 papers) and Machine Learning in Healthcare (2 papers). Justin Slater collaborates with scholars based in Canada, United States and United Kingdom. Justin Slater's co-authors include Darren R. Brenner, Paul Arora, Devon J. Boyne, Audrey Béliveau, Marek J. Drużdżel, Alind Gupta, Matthew A. Weir, Michael Silverman, Racquel Jandoc and Sharon Koivu and has published in prestigious journals such as Scientific Reports, British Journal of Cancer and The Lancet Infectious Diseases.

In The Last Decade

Justin Slater

17 papers receiving 479 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

BUGSnet: an R package to facilitate the conduct and reporting of Bayesian network Meta-analyses

2019 213 citations Audrey Béliveau, Devon J. Boyne et al. BMC Medical Research Methodology profile →

Peers

Justin Slater

EPIDE

SURGE

PRM

PHEOH

CCM

Carlos Canelo‐Aybar Spain

Shinya Kimura Japan

Daniel Ng United States

Peter Zuithoff Netherlands

Cornelis Biesheuvel Australia

Shasha Li China

Romin Pajouheshnia Netherlands

Jacob P. VanHouten United States

Hyunsun Lim South Korea

Carlos Canelo‐Aybar Spain

Justin Slater

89 ×0.8

EPIDE

81 ×1.1

SURGE

97 ×1.4

PRM

99 ×1.5

PHEOH

48 ×0.8

CCM

Citations per year, relative to Justin Slater Justin Slater (= 1×) peers Carlos Canelo‐Aybar

Countries citing papers authored by Justin Slater

Since Specialization

Citations

This map shows the geographic impact of Justin Slater'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 Justin Slater with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin Slater more than expected).

Fields of papers citing papers by Justin Slater

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Justin Slater. 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 Justin Slater. The network helps show where Justin Slater may publish in the future.

Co-authorship network of co-authors of Justin Slater

This figure shows the co-authorship network connecting the top 25 collaborators of Justin Slater. A scholar is included among the top collaborators of Justin Slater 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 Justin Slater. Justin Slater is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Slater, Justin, Patrick Brown, Jeffrey S. Rosenthal, & Jorge Mateu. (2025). Leveraging cellphone-derived mobility networks to assess Covid-19 travel risk. The Annals of Applied Statistics. 19(1).

Slater, Justin, et al.. (2023). A Bayesian approach to estimating COVID-19 incidence and infection fatality rates. Biostatistics. 25(2). 354–384. 1 indexed citations

Slater, Justin, et al.. (2023). Parental Grandiose and Vulnerable Narcissism and Helicopter Parenting: Mediation Through Parent Separation Anxiety and Parental Contingent Self-Worth. Journal of Adult Development. 31(4). 329–345. 1 indexed citations

Slater, Justin, et al.. (2023). Understanding the link between anxious parental overprotection and academic confidence in emerging adults: Mediation through interpersonal and intrapersonal processes. Journal of Social and Personal Relationships. 41(2). 390–412. 6 indexed citations

Naylor, Kyla L., Greg Knoll, Justin Slater, et al.. (2021). Risk Factors and Outcomes of Early Hospital Readmission in Canadian Kidney Transplant Recipients: A Population-Based Multi-Center Cohort Study. Canadian Journal of Kidney Health and Disease. 8. 1015016126–1015016126. 6 indexed citations

Slater, Justin, Patrick Brown, Jeffrey S. Rosenthal, & Jorge Mateu. (2021). Capturing spatial dependence of COVID-19 case counts with cellphone mobility data. Spatial Statistics. 49. 100540–100540. 9 indexed citations

Welk, Blayne, Danielle M. Nash, Stephanie N. Dixon, et al.. (2021). Risk of Hospital Encounters With Kidney Stones in Autosomal Dominant Polycystic Kidney Disease: A Cohort Study. Canadian Journal of Kidney Health and Disease. 8. 1014955427–1014955427. 1 indexed citations

Bonert, Michael, Asghar Naqvi, John K. Marshall, et al.. (2021). Stability of diagnostic rate in a cohort of 38,813 colorectal polyp specimens and implications for histomorphology and statistical process control. Scientific Reports. 11(1). 2 indexed citations

Silverman, Michael, Justin Slater, Racquel Jandoc, et al.. (2020). Hydromorphone and the risk of infective endocarditis among people who inject drugs: a population-based, retrospective cohort study. The Lancet Infectious Diseases. 20(4). 487–497. 20 indexed citations

10.

Slater, Justin, Patrick Brown, & Jeffrey S. Rosenthal. (2020). Forecasting subnational COVID‐19 mortality using a day‐of‐the‐week adjusted Bayesian hierarchical model. Stat. 10(1). 3 indexed citations

11.

Welk, Blayne, Danielle M. Nash, Eric McArthur, et al.. (2020). Complications in Patients With Autosomal Dominant Polycystic Kidney Disease Undergoing Ureteroscopy: A Cohort Study. Canadian Journal of Kidney Health and Disease. 7. 2248851998–2248851998.

12.

Kitchlu, Abhijat, Joshua Shapiro, Justin Slater, et al.. (2020). Interhospital Transfer and Outcomes in Patients with AKI: A Population-Based Cohort Study. Kidney360. 1(11). 1195–1205. 7 indexed citations

13.

Ordon, Michael, et al.. (2019). Incidence, Treatment, and Implications of Kidney Stones During Pregnancy: A Matched Population-Based Cohort Study. Journal of Endourology. 34(2). 215–221. 18 indexed citations

14.

Béliveau, Audrey, Devon J. Boyne, Justin Slater, Darren R. Brenner, & Paul Arora. (2019). BUGSnet: an R package to facilitate the conduct and reporting of Bayesian network Meta-analyses. BMC Medical Research Methodology. 19(1). 196–196. 213 indexed citations breakdown →

15.

Arora, Paul, Devon J. Boyne, Justin Slater, et al.. (2019). Bayesian Networks for Risk Prediction Using Real-World Data: A Tool for Precision Medicine. Value in Health. 22(4). 439–445. 114 indexed citations

16.

Weir, Matthew A., Justin Slater, Racquel Jandoc, et al.. (2019). The risk of infective endocarditis among people who inject drugs: a retrospective, population-based time series analysis. Canadian Medical Association Journal. 191(4). E93–E99. 36 indexed citations

17.

Thomas, Alison, Samuel A. Silver, Jeffrey Perl, et al.. (2019). The Frequency of Routine Blood Sampling and Patient Outcomes Among Maintenance Hemodialysis Recipients. American Journal of Kidney Diseases. 75(4). 471–479. 14 indexed citations

18.

Gupta, Alind, Justin Slater, Devon J. Boyne, et al.. (2019). Probabilistic Graphical Modeling for Estimating Risk of Coronary Artery Disease: Applications of a Flexible Machine-Learning Method. Medical Decision Making. 39(8). 1032–1044. 20 indexed citations

19.

Dibden, Amanda, Judith Offman, Dharmishta Parmar, et al.. (2013). Reduction in interval cancer rates following the introduction of two-view mammography in the UK breast screening programme. British Journal of Cancer. 110(3). 560–564. 15 indexed citations

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.

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