Andrew Lawson

6.9k total citations
215 papers, 4.8k citations indexed

About

Andrew Lawson is a scholar working on Epidemiology, Statistics and Probability and Economics and Econometrics. According to data from OpenAlex, Andrew Lawson has authored 215 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Epidemiology, 75 papers in Statistics and Probability and 72 papers in Economics and Econometrics. Recurrent topics in Andrew Lawson's work include Data-Driven Disease Surveillance (67 papers), Statistical Methods and Bayesian Inference (62 papers) and Spatial and Panel Data Analysis (50 papers). Andrew Lawson is often cited by papers focused on Data-Driven Disease Surveillance (67 papers), Statistical Methods and Bayesian Inference (62 papers) and Spatial and Panel Data Analysis (50 papers). Andrew Lawson collaborates with scholars based in United States, United Kingdom and Belgium. Andrew Lawson's co-authors include Suzanne McDermott, C. Marjorie Aelion, Harley T. Davis, Carmen L. Vidal Rodeiro, Emmanuel Lesaffre, William J. Browne, Bo Cai, D. G. T. Denison, Allan Clark and Fiona Williams and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Andrew Lawson

204 papers receiving 4.6k citations

Peers

Andrew Lawson

EPIDE

HTM

Lance A. Waller United States

Sudipto Banerjee United States

Thomas Lumley New Zealand

Jon Wakefield United States

Christel Faes Belgium

Marta Blangiardo United Kingdom

George Christakos United States

Carol A. Gotway United States

Holly Janes United States

Babette Brumback United States

Lance A. Waller United States

Andrew Lawson

1.8k ×1.3

EPIDE

1.1k ×1.0

3.3k ×4.6

HTM

530 ×0.7

327 ×0.5

Citations per year, relative to Andrew Lawson Andrew Lawson (= 1×) peers Lance A. Waller

Countries citing papers authored by Andrew Lawson

Since Specialization

Citations

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

Fields of papers citing papers by Andrew Lawson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Lawson

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Lawson. A scholar is included among the top collaborators of Andrew Lawson 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 Andrew Lawson. Andrew Lawson 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

Pierson, Christopher R., Stephen J. Mooney, Andrew Lawson, et al.. (2025). Neighborhood disorder and ovarian cancer survival in Black women. American Journal of Epidemiology. 194(12). 3660–3669.

Johnson, Courtney E., Anthony J. Alberg, Elisa V. Bandera, et al.. (2024). Abstract 4829: Pre-diagnostic comorbid conditions and survival among black women with ovarian cancer. Cancer Research. 84(6_Supplement). 4829–4829. 1 indexed citations

Rotejanaprasert, Chawarat, Andrew Lawson, & Richard J. Maude. (2023). Spatiotemporal reproduction number with Bayesian model selection for evaluation of emerging infectious disease transmissibility: an application to COVID-19 national surveillance data. BMC Medical Research Methodology. 23(1). 62–62. 2 indexed citations

MacRae, Clare, Edward R. Lawrence, Thomas J. Connor, et al.. (2022). Household and area determinants of emergency department attendance and hospitalisation in people with multimorbidity: a systematic review. BMJ Open. 12(10). e063441–e063441. 3 indexed citations

Schildkraut, Joellen M., Courtney E. Johnson, Bo Qin, et al.. (2022). Survival of epithelial ovarian cancer in Black women: a society to cell approach in the African American cancer epidemiology study (AACES). Cancer Causes & Control. 34(3). 251–265. 12 indexed citations

Reed, Susan G., et al.. (2019). Toward Preventing Enamel Hypoplasia: Modeling Maternal and Neonatal Biomarkers of Human Calcium Homeostasis. Caries Research. 54(1). 55–67. 17 indexed citations

Lawson, Andrew. (2018). "Body" Building: Expanding Arkansas's Standard for Holographic Wills. Journal of the Arkansas Academy of Science. 71(4). 917. 1 indexed citations

Onicescu, Georgiana & Andrew Lawson. (2018). Bayesian cure-rate survival model with spatially structured censoring. Spatial Statistics. 28. 352–364. 3 indexed citations

Carroll, Rachel, et al.. (2017). Extensions to Multivariate Space Time Mixture Modeling of Small Area Cancer Data. International Journal of Environmental Research and Public Health. 14(5). 503–503. 7 indexed citations

10.

Rotejanaprasert, Chawarat & Andrew Lawson. (2016). Bayesian prospective detection of small area health anomalies using Kullback–Leibler divergence. Statistical Methods in Medical Research. 27(4). 1076–1087. 8 indexed citations

11.

Neyens, Thomas, Andrew Lawson, Russell S. Kirby, et al.. (2016). Disease mapping of zero-excessive mesothelioma data in Flanders. Annals of Epidemiology. 27(1). 59–66.e3. 16 indexed citations

12.

McDermott, Suzanne, Weichao Bao, C. Marjorie Aelion, Bo Cai, & Andrew Lawson. (2014). Does the metal content in soil around a pregnant woman’s home increase the risk of low birth weight for her infant?. Environmental Geochemistry and Health. 36(6). 1191–1197. 18 indexed citations

13.

Wilson, Dawn K., Caitlyn Ellerbe, Andrew Lawson, et al.. (2012). Imputational modeling of spatial context and social environmental predictors of walking in an underserved community: The PATH trial. Spatial and Spatio-temporal Epidemiology. 4. 15–23. 10 indexed citations

14.

Aelion, C. Marjorie, Harley T. Davis, Andrew Lawson, Bo Cai, & Suzanne McDermott. (2012). Associations between soil lead concentrations and populations by race/ethnicity and income-to-poverty ratio in urban and rural areas. Environmental Geochemistry and Health. 35(1). 1–12. 54 indexed citations

15.

Lawson, Andrew, Georgiana Onicescu, & Caitlyn Ellerbe. (2011). Foot and mouth disease revisited: Re-analysis using Bayesian spatial susceptible-infectious-removed models. Spatial and Spatio-temporal Epidemiology. 2(3). 185–194. 5 indexed citations

16.

Zhang, Jiajia & Andrew Lawson. (2010). Bayesian parametric accelerated failure time spatial model and its application to prostate cancer. Journal of Applied Statistics. 38(3). 591–603. 28 indexed citations

17.

Lawson, Andrew, et al.. (2009). Bayesian spatial modeling of disease risk in relation to multivariate environmental risk fields. Statistics in Medicine. 29(1). 142–157. 15 indexed citations

18.

Lawson, Andrew, et al.. (2007). A Bayesian hierarchical modeling approach for studying the factors affecting the stage at diagnosis of prostate cancer. Statistics in Medicine. 27(9). 1468–1489. 15 indexed citations

19.

Rodeiro, Carmen L. Vidal & Andrew Lawson. (2006). Monitoring Changes in Spatio-temporal Maps of Disease. Biometrical Journal. 48(3). 463–480. 22 indexed citations

20.

Lawson, Andrew & Ken Kleinman. (2005). Spatial and syndromic surveillance for public health. John Wiley & Sons eBooks. 80 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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