Pamela A. Shaw

19.5k total citations · 5 hit papers
157 papers, 10.8k citations indexed

About

Pamela A. Shaw is a scholar working on Public Health, Environmental and Occupational Health, Statistics and Probability and Oncology. According to data from OpenAlex, Pamela A. Shaw has authored 157 papers receiving a total of 10.8k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Public Health, Environmental and Occupational Health, 39 papers in Statistics and Probability and 23 papers in Oncology. Recurrent topics in Pamela A. Shaw's work include Statistical Methods and Inference (26 papers), Advanced Causal Inference Techniques (24 papers) and Nutritional Studies and Diet (21 papers). Pamela A. Shaw is often cited by papers focused on Statistical Methods and Inference (26 papers), Advanced Causal Inference Techniques (24 papers) and Nutritional Studies and Diet (21 papers). Pamela A. Shaw collaborates with scholars based in United States, New Zealand and United Kingdom. Pamela A. Shaw's co-authors include Simon F. Lacey, Stephan A. Grupp, Carl H. June, J. Joseph Melenhorst, Noelle V. Frey, Bruce L. Levine, Zhaohui Zheng, Angela Shen, Anne Chew and Vanessa Gonzalez and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Pamela A. Shaw

146 papers receiving 10.6k citations

Hit Papers

5 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.

Chimeric Antigen Receptor T Cells for Sustained Remissions in Leukemia

2014 3.9k citations Shannon L. Maude, Noelle V. Frey et al. profile →
Chimeric antigen receptor T cells persist and induce sustained remissions in relapsed refractory chronic lymphocytic leukemia

2015 1.3k citations Wei‐Ting Hwang, Noelle V. Frey et al. profile →
Nontuberculous Mycobacterial Lung Disease Prevalence at Four Integrated Health Care Delivery Systems

2010 429 citations Pamela A. Shaw, Amy E. Seitz et al. profile →
Cytokine Release Syndrome After Chimeric Antigen Receptor T Cell Therapy for Acute Lymphoblastic Leukemia

2016 344 citations Shannon L. Maude, David M. Barrett et al. profile →
Women Physicians and Promotion in Academic Medicine

2020 270 citations Pamela A. Shaw et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pamela A. Shaw United States	37	5.9k	2.4k	1.9k	1.8k	1.6k	157	10.8k
Martin A. Weinstock United States	63	7.5k 1.3×	1.2k 0.5×	439 0.2×	1.7k 1.0×	424 0.3×	296	16.1k
Clemens‐Martin Wendtner Germany	43	1.7k 0.3×	1.8k 0.7×	536 0.3×	1.8k 1.0×	1.1k 0.7×	201	10.4k
Hans Wolf Germany	58	2.9k 0.5×	2.1k 0.9×	1.1k 0.6×	2.2k 1.2×	242 0.2×	442	13.4k
Michael Pawlita Germany	70	5.4k 0.9×	4.0k 1.7×	1.7k 0.9×	6.1k 3.3×	176 0.1×	408	20.6k
John O’Leary Ireland	49	2.9k 0.5×	1.2k 0.5×	519 0.3×	3.8k 2.1×	481 0.3×	278	9.4k
Eric A. Engels United States	81	12.7k 2.1×	1.8k 0.8×	983 0.5×	2.0k 1.1×	134 0.1×	386	24.8k
H. Kim Lyerly United States	71	5.7k 1.0×	7.8k 3.3×	1.2k 0.7×	6.2k 3.4×	715 0.4×	357	17.2k
Jian Li China	46	1.2k 0.2×	1.7k 0.7×	985 0.5×	3.3k 1.8×	740 0.5×	409	9.1k
Lars E. French Switzerland	70	4.4k 0.7×	7.3k 3.1×	952 0.5×	6.7k 3.7×	367 0.2×	482	21.2k
Joakim Dillner Sweden	77	7.4k 1.3×	2.8k 1.2×	1.4k 0.7×	4.3k 2.4×	158 0.1×	576	27.6k

Countries citing papers authored by Pamela A. Shaw

Since Specialization

Citations

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

Fields of papers citing papers by Pamela A. Shaw

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pamela A. Shaw. 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 Pamela A. Shaw. The network helps show where Pamela A. Shaw may publish in the future.

Co-authorship network of co-authors of Pamela A. Shaw

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Slone, Jeremy S., Aggrey Semeere, Lameck Diero, et al.. (2025). Data validation in multinational observational studies with error-prone data: applying an optimal validation sampling strategy in a study of Kaposi sarcoma and HIV. American Journal of Epidemiology.

Weberpals, Janick, Pamela A. Shaw, Kueiyu Joshua Lin, et al.. (2025). High-dimensional multiple imputation for partially observed confounders including natural language processing–derived auxiliary covariates. American Journal of Epidemiology. 195(1). 10–20. 1 indexed citations

Greenwood-Hickman, Mikael Anne, Weiwei Zhu, Laura B. Harrington, et al.. (2025). Associations Between 10-Year Physical Performance and Activities of Daily Living Trajectories and Physical Behaviors in Older Adults. International Journal of Environmental Research and Public Health. 22(5). 704–704.

Raman, Sudha R., Bradley G. Hammill, Pamela A. Shaw, et al.. (2024). Analyzing missingness patterns in real-world data using the SMDI toolkit: application to a linked EHR-claims pharmacoepidemiology study. BMC Medical Research Methodology. 24(1). 246–246. 2 indexed citations

Weberpals, Janick, Sudha R. Raman, Pamela A. Shaw, et al.. (2024). smdi: an R package to perform structural missing data investigations on partially observed confounders in real-world evidence studies. JAMIA Open. 7(1). ooae008–ooae008. 6 indexed citations

Hakun, Jonathan G., Lizbeth Benson, Tian Qiu, et al.. (2024). Cognitive Health Benefits of Everyday Physical Activity in a Diverse Sample of Middle-Aged Adults. Annals of Behavioral Medicine. 59(1). 5 indexed citations

Basner, Mathias, Ian Barnett, Michele M. Carlin, et al.. (2023). Effects of Aircraft Noise on Sleep: Federal Aviation Administration National Sleep Study Protocol. International Journal of Environmental Research and Public Health. 20(21). 7024–7024. 3 indexed citations

Li, Yimei, Wei‐Ting Hwang, Shannon L. Maude, et al.. (2022). Statistical Considerations for Analyses of Time-To-Event Endpoints in Oncology Clinical Trials: Illustrations with CAR-T Immunotherapy Studies. Clinical Cancer Research. 28(18). 3940–3949. 8 indexed citations

Herman, Jonathan D., Chuangqi Wang, John S. Burke, et al.. (2022). Nucleocapsid-specific antibody function is associated with therapeutic benefits from COVID-19 convalescent plasma therapy. Cell Reports Medicine. 3(11). 100811–100811. 17 indexed citations

10.

Habes, Mohamad, Ali Ezzati, Richard B. Lipton, et al.. (2021). Leveraging machine learning predictive biomarkers to augment the statistical power of clinical trials with baseline magnetic resonance imaging. Brain Communications. 3(4). fcab264–fcab264. 6 indexed citations

11.

Shaw, Pamela A., et al.. (2020). Bayesian information criterion approximations to Bayes factors for univariate and multivariate logistic regression models. The International Journal of Biostatistics. 17(2). 241–266. 10 indexed citations

12.

Shepherd, Bryan E. & Pamela A. Shaw. (2020). Errors in multiple variables in human immunodeficiency virus (HIV) cohort and electronic health record data: statistical challenges and opportunities. PubMed. 12(s1). 20190015–20190015. 1 indexed citations

13.

Greenberg, James M., Brenda B. Poindexter, Pamela A. Shaw, et al.. (2019). Respiratory medication use in extremely premature (<29 weeks) infants during initial NICU hospitalization: Results from the prematurity and respiratory outcomes program. Pediatric Pulmonology. 55(2). 360–368. 28 indexed citations

14.

Fernández, Hilda, Sandra Amaral, Pamela A. Shaw, et al.. (2019). The effect of transfer to adult transplant care on kidney function and immunosuppressant drug level variability in pediatric kidney transplant recipients. Pediatric Transplantation. 23(6). 6 indexed citations

15.

Mehrotra, Devan V., et al.. (2019). Hazard ratio inference in stratified clinical trials with time‐to‐event endpoints and limited sample size. Pharmaceutical Statistics. 18(3). 366–376.

16.

Mehrotra, Devan V., et al.. (2018). Incorporating baseline measurements into the analysis of crossover trials with time‐to‐event endpoints. Statistics in Medicine. 37(23). 3280–3292. 3 indexed citations

17.

Rheingold, Susan R., Shannon L. Maude, Richard Aplenc, et al.. (2015). Efficient Trafficking of Chimeric Antigen Receptor (CAR)-Modified T Cells to CSF and Induction of Durable CNS Remissions in Children with CNS/Combined Relapsed/Refractory ALL. Blood. 126(23). 3769–3769. 35 indexed citations

18.

Price, Susan, Pamela A. Shaw, Amy E. Seitz, et al.. (2014). Natural history of autoimmune lymphoproliferative syndrome associated with FAS gene mutations. Blood. 123(13). 1989–1999. 134 indexed citations

19.

Jusko, Todd A., Pamela A. Shaw, Claudia A. Snijder, et al.. (2012). O-051. Epidemiology. 23. 1–1. 1 indexed citations

20.

Fay, Michael P. & Pamela A. Shaw. (2010). Exact and Asymptotic Weighted Logrank Tests for Interval Censored Data: The interval R Package. SHILAP Revista de lepidopterología. 61 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.

Explore authors with similar magnitude of impact