Eleanor J. Murray

4.3k total citations · 1 hit paper
78 papers, 2.5k citations indexed

About

Eleanor J. Murray is a scholar working on Statistics and Probability, General Health Professions and Economics and Econometrics. According to data from OpenAlex, Eleanor J. Murray has authored 78 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Statistics and Probability, 18 papers in General Health Professions and 16 papers in Economics and Econometrics. Recurrent topics in Eleanor J. Murray's work include Advanced Causal Inference Techniques (28 papers), Health Systems, Economic Evaluations, Quality of Life (14 papers) and COVID-19 epidemiological studies (11 papers). Eleanor J. Murray is often cited by papers focused on Advanced Causal Inference Techniques (28 papers), Health Systems, Economic Evaluations, Quality of Life (14 papers) and COVID-19 epidemiological studies (11 papers). Eleanor J. Murray collaborates with scholars based in United States, United Kingdom and Canada. Eleanor J. Murray's co-authors include Matthew P. Fox, Miguel A. Hernán, Peter W. G. Tennant, Mark S. Gilthorpe, Kellyn F Arnold, Ellen C. Caniglia, Wendy J. Harrison, Sarah Gadd, Johannes Textor and George T. H. Ellison and has published in prestigious journals such as New England Journal of Medicine, PLoS ONE and Biochemical Journal.

In The Last Decade

Eleanor J. Murray

73 papers receiving 2.4k citations

Hit Papers

align trajectories sort by overperformance

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.

Use of directed acyclic graphs (DAGs) to identify confounders in applied health research: review and recommendations

2020 534 citations Peter W. G. Tennant, Eleanor J. Murray et al. International Journal of Epidemiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eleanor J. Murray United States	24	499	310	288	248	224	78	2.5k
Jane Pendergast United States	26	494 1.0×	230 0.7×	340 1.2×	166 0.7×	376 1.7×	110	3.2k
Ofer Harel United States	31	439 0.9×	655 2.1×	166 0.6×	301 1.2×	297 1.3×	114	3.1k
Daniel Farewell United Kingdom	28	490 1.0×	197 0.6×	203 0.7×	406 1.6×	421 1.9×	102	2.4k
Jing Cheng United States	23	188 0.4×	484 1.6×	244 0.8×	316 1.3×	146 0.7×	79	2.3k
Elise Dusseldorp Netherlands	32	1.1k 2.1×	241 0.8×	155 0.5×	594 2.4×	226 1.0×	91	3.5k
Melissa Azur United States	9	342 0.7×	183 0.6×	123 0.4×	433 1.7×	282 1.3×	13	2.7k
Henry Lynn China	34	517 1.0×	187 0.6×	135 0.5×	274 1.1×	472 2.1×	114	5.5k
George T. H. Ellison United Kingdom	24	543 1.1×	181 0.6×	190 0.7×	269 1.1×	304 1.4×	129	3.9k
Rhian Daniel United Kingdom	24	246 0.5×	840 2.7×	392 1.4×	156 0.6×	360 1.6×	63	2.6k
Tim P. Morris United Kingdom	36	357 0.7×	848 2.7×	490 1.7×	240 1.0×	541 2.4×	128	4.7k

Countries citing papers authored by Eleanor J. Murray

Since Specialization

Citations

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

Fields of papers citing papers by Eleanor J. Murray

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eleanor J. Murray. 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 Eleanor J. Murray. The network helps show where Eleanor J. Murray may publish in the future.

Co-authorship network of co-authors of Eleanor J. Murray

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

All Works

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20 of 20 papers shown

Ncube, Collette N., Eleanor J. Murray, Amelia K. Wesselink, et al.. (2025). Life Course Financial Hardship and Fecundability in a North American Preconception Cohort Study. Epidemiology. 36(6). 769–780.

Declercq, Eugene, et al.. (2025). Using linked data to explore medical complications associated with Robson classification of cesarean deliveries in Massachusetts, 2011 to 2018. AJOG Global Reports. 5(2). 100470–100470. 1 indexed citations

Cohen, Alan A., et al.. (2024). Rethinking the pros and cons of randomized controlled trials and observational studies in the era of big data and advanced methods: a panel discussion. BMC Proceedings. 18(S2). 1–1. 26 indexed citations

Egeren, Debra Van, et al.. (2024). Looking under the lamp-post: quantifying the performance of contact tracing in the United States during the SARS-CoV-2 pandemic. BMC Public Health. 24(1). 595–595.

Bond, Julia C., Brenda Heaton, Raul I. García, et al.. (2024). Specifying a target trial protocol to estimate the effect of preconception treatment of periodontitis on time‐to‐pregnancy: A commentary and applied example. Community Dentistry And Oral Epidemiology. 53(2). 125–134.

Kunicki, Zachary J., Meghan L. Smith, & Eleanor J. Murray. (2023). A Primer on Structural Equation Model Diagrams and Directed Acyclic Graphs: When and How to Use Each in Psychological and Epidemiological Research. Advances in Methods and Practices in Psychological Science. 6(2). 2717523208–2717523208. 23 indexed citations

Brophy, Robert H., Jamie E. Collins, Charles L. Cox, et al.. (2023). Causal relationships between pain, medical treatments, and knee osteoarthritis: A graphical causal model to guide analyses. Osteoarthritis and Cartilage. 32(3). 319–328. 4 indexed citations

Etheridge, James C., et al.. (2023). A Tutorial on Applying the Difference-in-Differences Method to Health Data. Current Epidemiology Reports. 11(2). 85–95. 21 indexed citations

Laubach, Zachary M., Eleanor J. Murray, Kim L. Hoke, Rebecca J. Safran, & Wei Perng. (2021). A biologist's guide to model selection and causal inference. Proceedings of the Royal Society B Biological Sciences. 288(1943). 20202815–20202815. 80 indexed citations

10.

Petersen, Julie M., Katherine A. Ahrens, Eleanor J. Murray, et al.. (2021). The confounder matrix: A tool to assess confounding bias in systematic reviews of observational studies of etiology. Research Synthesis Methods. 13(2). 242–254. 16 indexed citations

11.

Sy, Karla Therese L., et al.. (2021). A clinician’s primer on epidemiology for COVID-19. Med. 2(4). 384–394. 1 indexed citations

12.

Lodi, Sara, Matthew S. Freiberg, Natalia Gnatienko, et al.. (2021). Per-protocol analysis of the ZINC trial for HIV disease among alcohol users. Trials. 22(1). 226–226. 2 indexed citations

13.

Fox, Matthew P., et al.. (2021). Will Podcasting and Social Media Replace Journals and Traditional Science Communication? No, but.... American Journal of Epidemiology. 190(8). 1625–1631. 11 indexed citations

14.

Murray, Eleanor J., Brian Claggett, Bradi B. Granger, Scott D. Solomon, & Miguel A. Hernán. (2020). Adherence-adjustment in placebo-controlled randomized trials: An application to the candesartan in heart failure randomized trial. Contemporary Clinical Trials. 90. 105937–105937. 9 indexed citations

15.

Tennant, Peter W. G., Eleanor J. Murray, Kellyn F Arnold, et al.. (2020). Use of directed acyclic graphs (DAGs) to identify confounders in applied health research: review and recommendations. International Journal of Epidemiology. 50(2). 620–632. 534 indexed citations breakdown →

16.

Murray, Eleanor J., Selahadin Ibrahim, Peter Smith, et al.. (2013). Pain-Related Work Interference is a Key Factor in a Worker/Workplace Model of Work Absence Duration Due to Musculoskeletal Conditions in Canadian Nurses. Journal of Occupational Rehabilitation. 23(4). 585–596. 18 indexed citations

17.

White, Marc, Shannon L. Wagner, Izabela Z. Schultz, et al.. (2013). Modifiable workplace risk factors contributing to workplace absence across health conditions: A stakeholder-centered best-evidence synthesis of systematic reviews. Work. 45(4). 1–12. 50 indexed citations

18.

Franche, Renée‐Louise, Eleanor J. Murray, Selahadin Ibrahim, et al.. (2011). Examining the Impact of Worker and Workplace Factors on Prolonged Work Absences Among Canadian Nurses. Journal of Occupational and Environmental Medicine. 53(8). 919–927. 22 indexed citations

19.

Murray, Eleanor J. & Stephen S. Morse. (2011). Seasonal Oscillation of Human Infection with Influenza A/H5N1 in Egypt and Indonesia. PLoS ONE. 6(9). e24042–e24042. 27 indexed citations

20.

Murray, Eleanor J., et al.. (2005). Interactive Health Communication Applications for people with chronic disease (Withdrawn Paper. 2004, art. no. CD004274.pub3). UCL Discovery (University College London). 158 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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