Sherri Rose

8.4k total citations · 1 hit paper
92 papers, 3.4k citations indexed

About

Sherri Rose is a scholar working on General Health Professions, Statistics and Probability and Economics and Econometrics. According to data from OpenAlex, Sherri Rose has authored 92 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in General Health Professions, 25 papers in Statistics and Probability and 24 papers in Economics and Econometrics. Recurrent topics in Sherri Rose's work include Advanced Causal Inference Techniques (21 papers), Healthcare Policy and Management (21 papers) and Primary Care and Health Outcomes (14 papers). Sherri Rose is often cited by papers focused on Advanced Causal Inference Techniques (21 papers), Healthcare Policy and Management (21 papers) and Primary Care and Health Outcomes (14 papers). Sherri Rose collaborates with scholars based in United States, Canada and Australia. Sherri Rose's co-authors include Mark J. van der Laan, Megan S. Schuler, Jonathan M. Snowden, Kathleen Mortimer, Ateev Mehrotra, Irina Degtiar, Bruce E. Landon, Haiden A. Huskamp, Alisa B. Busch and Lori Uscher‐Pines and has published in prestigious journals such as New England Journal of Medicine, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Sherri Rose

89 papers receiving 3.3k citations

Hit Papers

A Review of Generalizability and Transportability 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sherri Rose United States 30 817 753 733 512 377 92 3.4k
Shaun R. Seaman United Kingdom 27 1.2k 1.5× 373 0.5× 384 0.5× 546 1.1× 349 0.9× 91 5.2k
Arthur V. Peterson United States 34 1.2k 1.5× 425 0.6× 562 0.8× 673 1.3× 311 0.8× 80 5.1k
Peng Ding United States 22 1.2k 1.4× 468 0.6× 404 0.6× 615 1.2× 261 0.7× 83 5.3k
Eric J. Tchetgen Tchetgen United States 42 2.0k 2.4× 691 0.9× 543 0.7× 420 0.8× 117 0.3× 148 5.7k
John Van Hoewyk United States 15 464 0.6× 273 0.4× 573 0.8× 468 0.9× 212 0.6× 17 2.8k
Ariel Linden United States 31 657 0.8× 941 1.2× 895 1.2× 356 0.7× 128 0.3× 104 3.7k
Tim P. Morris United Kingdom 36 848 1.0× 490 0.7× 357 0.5× 367 0.7× 230 0.6× 128 4.7k
David J. Spiegelhalter United Kingdom 12 575 0.7× 610 0.8× 355 0.5× 259 0.5× 152 0.4× 18 3.2k
Richard J. Willke United States 29 378 0.5× 2.0k 2.7× 1.0k 1.4× 397 0.8× 241 0.6× 83 4.5k
Nancy A Dreyer United States 32 453 0.6× 813 1.1× 297 0.4× 472 0.9× 260 0.7× 135 3.6k

Countries citing papers authored by Sherri Rose

Since Specialization
Citations

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

Fields of papers citing papers by Sherri Rose

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sherri Rose

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

All Works

20 of 20 papers shown
1.
Mello, Michelle M. & Sherri Rose. (2024). Denial—Artificial Intelligence Tools and Health Insurance Coverage Decisions. JAMA Health Forum. 5(3). e240622–e240622. 17 indexed citations
2.
Chen, Lucia, et al.. (2023). A call for better validation of opioid overdose risk algorithms. Journal of the American Medical Informatics Association. 30(10). 1741–1746. 5 indexed citations
3.
Reitsma, Marissa B, Sherri Rose, Alex Reinhart, Jeremy D. Goldhaber‐Fiebert, & Joshua A. Salomon. (2023). Bias-Adjusted Predictions of County-Level Vaccination Coverage from the COVID-19 Trends and Impact Survey. Medical Decision Making. 44(2). 175–188. 1 indexed citations
4.
Degtiar, Irina, et al.. (2023). Conditional Cross-Design Synthesis Estimators for Generalizability in Medicaid. Biometrics. 79(4). 3859–3872. 2 indexed citations
5.
Daneshjou, Roxana, et al.. (2023). Recommendations for the use of pediatric data in artificial intelligence and machine learning ACCEPT-AI. npj Digital Medicine. 6(1). 166–166. 42 indexed citations
6.
Majumder, Maimuna S., Marika Cusick, & Sherri Rose. (2023). Measuring concordance of data sources used for infectious disease research in the USA: a retrospective data analysis. BMJ Open. 13(2). e065751–e065751. 2 indexed citations
7.
Huskamp, Haiden A., Lauren Riedel, Alisa B. Busch, et al.. (2023). Long-Term Prospects for Telemedicine in Opioid Use Disorder (OUD) Treatment: Results from a Longitudinal Survey of OUD Clinicians. Journal of General Internal Medicine. 38(9). 2139–2146. 9 indexed citations
8.
Chen, Irene Y., Emma Pierson, Sherri Rose, et al.. (2020). Ethical Machine Learning in Health. arXiv (Cornell University). 5 indexed citations
9.
Nakamura, Mari, Sara L. Toomey, Alan M. Zaslavsky, et al.. (2018). Potential Impact of Initial Clinical Data on Adjustment of Pediatric Readmission Rates. Academic Pediatrics. 19(5). 589–598. 6 indexed citations
10.
Rose, Sherri. (2016). A conversation with Elizabeth A. Stuart. Health Services and Outcomes Research Methodology. 16(4). 177–186. 1 indexed citations
11.
Schoen, Robert E., et al.. (2015). The impact of exclusion criteria on a physician’s adenoma detection rate. Gastrointestinal Endoscopy. 82(4). 668–675. 25 indexed citations
12.
Abdul‐Baki, Heitham, Robert E. Schoen, Sherri Rose, et al.. (2015). Public reporting of colonoscopy quality is associated with an increase in endoscopist adenoma detection rate. Gastrointestinal Endoscopy. 82(4). 676–682. 37 indexed citations
13.
Rose, Sherri, et al.. (2015). Matching and Imputation Methods for Risk Adjustment in the Health Insurance Marketplaces. Statistics in Biosciences. 9(2). 525–542. 6 indexed citations
14.
Song, Zirui, et al.. (2014). Changes in Health Care Spending and Quality 4 Years into Global Payment. New England Journal of Medicine. 371(18). 1704–1714. 162 indexed citations
15.
Laan, Mark J. van der & Sherri Rose. (2011). Targeted Learning: Causal Inference for Observational and Experimental Data. DIAL (Catholic University of Leuven). 322 indexed citations
16.
Huen, Karen, Lisa F. Barcellos, Kenneth B. Beckman, et al.. (2010). Effects of PON polymorphisms and haplotypes on molecular phenotype in Mexican‐American mothers and children. Environmental and Molecular Mutagenesis. 52(2). 105–116. 20 indexed citations
17.
Rose, Sherri & Mark J. van der Laan. (2009). Why Match? Investigating Matched Case-Control Study Designs with Causal Effect Estimation. The International Journal of Biostatistics. 5(1). Article 1–Article 1. 219 indexed citations
18.
Rose, Sherri & Mark J. van der Laan. (2008). Simple Optimal Weighting of Cases and Controls in Case-Control Studies. The International Journal of Biostatistics. 4(1). Article 19–Article 19. 55 indexed citations
19.
Tough, Suzanne, et al.. (1999). Factors that Influence Emergency Department Visits for Asthma. Canadian Respiratory Journal. 6(5). 429–435. 18 indexed citations
20.
Rose, Sherri, et al.. (1997). The Good News about Desktop Learning.. Training & Development. 51(6). 24–27. 2 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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