David C. Wheeler

7.5k total citations · 2 hit papers
149 papers, 4.8k citations indexed

About

David C. Wheeler is a scholar working on Health, Toxicology and Mutagenesis, Epidemiology and Economics and Econometrics. According to data from OpenAlex, David C. Wheeler has authored 149 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Health, Toxicology and Mutagenesis, 24 papers in Epidemiology and 24 papers in Economics and Econometrics. Recurrent topics in David C. Wheeler's work include Air Quality and Health Impacts (32 papers), Data-Driven Disease Surveillance (20 papers) and Health disparities and outcomes (18 papers). David C. Wheeler is often cited by papers focused on Air Quality and Health Impacts (32 papers), Data-Driven Disease Surveillance (20 papers) and Health disparities and outcomes (18 papers). David C. Wheeler collaborates with scholars based in United States, United Kingdom and Australia. David C. Wheeler's co-authors include Chris Gennings, Michael Tiefelsdorf, Pam Factor‐Litvak, Caroline K. Carrico, Lance A. Waller, Jenna Czarnota, Mary H. Ward, Antonio Páez, Steven Farber and Catherine A. Calder and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and PLoS ONE.

In The Last Decade

David C. Wheeler

145 papers receiving 4.6k citations

Hit Papers

Characterization of Weighted Quantile Sum Regress... 2005 2026 2012 2019 2014 2005 250 500 750

Peers

David C. Wheeler
Marta Blangiardo United Kingdom
Thomas Lumley United States
Thomas Lumley New Zealand
Marie Lynn Miranda United States
Andrew Lawson United States
Ravi Maheswaran United Kingdom
Yao Yao China
Marta Blangiardo United Kingdom
David C. Wheeler
Citations per year, relative to David C. Wheeler David C. Wheeler (= 1×) peers Marta Blangiardo

Countries citing papers authored by David C. Wheeler

Since Specialization
Citations

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

Fields of papers citing papers by David C. Wheeler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David C. Wheeler. 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 David C. Wheeler. The network helps show where David C. Wheeler may publish in the future.

Co-authorship network of co-authors of David C. Wheeler

This figure shows the co-authorship network connecting the top 25 collaborators of David C. Wheeler. A scholar is included among the top collaborators of David C. Wheeler 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 David C. Wheeler. David C. Wheeler 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.
Correa-Rotter, R, David C. Wheeler, & Phil McEwan. (2024). The Broader Effects of Delayed Progression to End-Stage Kidney Disease: Delaying the Inevitable or a Meaningful Change?. Advances in Therapy. 41(10). 3739–3748. 1 indexed citations
2.
Heerspink, Hiddo J.L., Stephen Nolan, Juan Jesús Carrero, et al.. (2024). Clinical Outcomes in Patients with CKD and Rapid or Non-rapid eGFR Decline: A Report from the DISCOVER CKD Retrospective Cohort. Advances in Therapy. 41(8). 3264–3277. 5 indexed citations
3.
Schroeder, Krista, Levent Dumenci, Kevin Konty, et al.. (2024). The Association Between a Neighborhood Adverse Childhood Experiences Index and Body Mass Index Among New York City Youth. Childhood Obesity. 20(8). 598–610. 2 indexed citations
4.
Ward, Mary H., et al.. (2024). Modeling variation in mixture effects over space with a Bayesian spatially varying mixture model. Statistics in Medicine. 43(7). 1441–1457. 1 indexed citations
5.
Boyle, Joseph, Mary H. Ward, James R. Cerhan, Nathaniel Rothman, & David C. Wheeler. (2023). Modeling historic neighborhood deprivation and non-Hodgkin lymphoma risk. Environmental Research. 232. 116361–116361. 5 indexed citations
6.
Boyle, Joseph, et al.. (2023). Analysis of the spatial distribution of amyotrophic lateral sclerosis in Virginia. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration. 24(7-8). 669–677. 1 indexed citations
7.
Wheeler, David C., et al.. (2023). Neighborhood Deprivation, Indoor Chemical Concentrations, and Spatial Risk for Childhood Leukemia. International Journal of Environmental Research and Public Health. 20(4). 3582–3582. 1 indexed citations
8.
Wheeler, David C., Joseph Boyle, Rachel L. Maguire, et al.. (2022). Tobacco Retail Outlets, Neighborhood Deprivation and the Risk of Prenatal Smoke Exposure. Nicotine & Tobacco Research. 24(12). 2003–2010. 9 indexed citations
9.
Wheeler, David C., Joseph Boyle, Rachel L. Maguire, et al.. (2022). Neighborhood Deprivation is Associated with Increased Risk of Prenatal Smoke Exposure. Prevention Science. 23(7). 1078–1089. 10 indexed citations
10.
Goldstein, Neal D., David C. Wheeler, Paul Gustafson, & Igor Burstyn. (2021). A Bayesian approach to improving spatial estimates of prevalence of COVID-19 after accounting for misclassification bias in surveillance data in Philadelphia, PA. Spatial and Spatio-temporal Epidemiology. 36. 100401–100401. 10 indexed citations
11.
12.
Elizabeth, K., et al.. (2020). Determinants of Youth-Reported Past 30-Day Tobacco Use. Journal of Community Health. 45(5). 954–964. 2 indexed citations
13.
Wallenborn, Jordyn T., David C. Wheeler, Juan Lü, Robert A. Perera, & Saba W. Masho. (2019). Importance of Familial Opinions on Breastfeeding Practices: Differences Between Father, Mother, and Mother-in-Law. Breastfeeding Medicine. 14(8). 560–567. 18 indexed citations
14.
Wallenborn, Jordyn T., Robert A. Perera, David C. Wheeler, Juan Lü, & Saba W. Masho. (2018). Workplace support and breastfeeding duration: The mediating effect of breastfeeding intention and self‐efficacy. Birth. 46(1). 121–128. 45 indexed citations
15.
Wallenborn, Jordyn T., Juan Lü, Robert A. Perera, David C. Wheeler, & Saba W. Masho. (2017). The Impact of the Professional Qualifications of the Prenatal Care Provider on Breastfeeding Duration. Breastfeeding Medicine. 13(2). 106–111. 13 indexed citations
16.
Gennings, Chris, et al.. (2015). Selecting Spatial Scale of Covariates in Regression Models of Environmental Exposures. SHILAP Revista de lepidopterología. 1 indexed citations
17.
DellaValle, Curt T., David C. Wheeler, Anneclaire De Roos, et al.. (2012). P-226. Epidemiology. 23. 1–1. 1 indexed citations
18.
Szymañski, Konrad, David C. Wheeler, & Lorelei A. Mucci. (2010). Fish consumption and prostate cancer risk: a review and meta-analysis. American Journal of Clinical Nutrition. 92(5). 1223–1233. 143 indexed citations
19.
Wheeler, David C.. (2006). Diagnostic tools and remedial methods for collinearity in linear regression models with spatially varying coefficients. OhioLink ETD Center (Ohio Library and Information Network). 6 indexed citations
20.
Wheeler, David C., et al.. (1992). Assessing the Health Risks of Sea Bathing. Water and Environment Journal. 6(4). 459–466. 1 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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