Grant Brown

649 total citations
41 papers, 337 citations indexed

About

Grant Brown is a scholar working on Epidemiology, Infectious Diseases and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Grant Brown has authored 41 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 10 papers in Infectious Diseases and 9 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Grant Brown's work include COVID-19 epidemiological studies (6 papers), Research on Leishmaniasis Studies (4 papers) and Homelessness and Social Issues (4 papers). Grant Brown is often cited by papers focused on COVID-19 epidemiological studies (6 papers), Research on Leishmaniasis Studies (4 papers) and Homelessness and Social Issues (4 papers). Grant Brown collaborates with scholars based in United States, Brazil and Lebanon. Grant Brown's co-authors include Jacob Oleson, Paul A. Gilbert, Nina Mulia, Ryan W. McCreery, Sarah E. Zemore, George Pro, Aaron T. Porter, Bob McMurray, Matthew W. Nonnenmann and Joseph E. Cavanaugh and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biometrics.

In The Last Decade

Grant Brown

32 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Grant Brown United States	11	117	58	54	51	49	41	337
Nayer Khazeni United States	14	213 1.8×	59 1.0×	65 1.2×	65 1.3×	76 1.6×	20	819
Patrícia Peralta Spain	9	119 1.0×	20 0.3×	47 0.9×	123 2.4×	61 1.2×	27	398
Alessandra Toletone Italy	11	292 2.5×	52 0.9×	52 1.0×	53 1.0×	159 3.2×	15	659
Renae Fernandez Australia	14	92 0.8×	18 0.3×	48 0.9×	165 3.2×	25 0.5×	22	596
Jennifer M. Morgan United States	8	194 1.7×	27 0.5×	82 1.5×	108 2.1×	30 0.6×	10	423
Melissa Wardle United States	9	121 1.0×	18 0.3×	25 0.5×	18 0.4×	46 0.9×	16	379
Avnika B. Amin United States	9	108 0.9×	101 1.7×	39 0.7×	32 0.6×	130 2.7×	21	526
Chun En Yau Singapore	12	55 0.5×	25 0.4×	38 0.7×	39 0.8×	19 0.4×	43	412
Vincent Yaofeng He Australia	12	106 0.9×	21 0.4×	69 1.3×	109 2.1×	29 0.6×	29	410

Countries citing papers authored by Grant Brown

Since Specialization

Citations

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

Fields of papers citing papers by Grant Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grant Brown

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

Brown, Grant, et al.. (2025). A Novel, Metal-Based Approach to Identify Residences with Lead Service Lines. Environmental Science & Technology Letters. 12(8). 918–923. 1 indexed citations

Gilbert, Paul A., et al.. (2024). How recovery definitions vary by service use pathway: Findings from a national survey of adults.. Psychology of Addictive Behaviors. 38(8). 891–900. 1 indexed citations

Brown, Grant, et al.. (2024). Within-host bayesian joint modeling of longitudinal and time-to-event data of Leishmania infection. PLoS ONE. 19(2). e0297175–e0297175.

Rahman, Syed A., Guiping Hu, Benjamin W. Darbro, et al.. (2024). Mapping the Evolutionary Space of SARS-CoV-2 Variants to Anticipate Emergence of Subvariants Resistant to COVID-19 Therapeutics. PLoS Computational Biology. 20(6). e1012215–e1012215.

Farooqui, Mudassir, et al.. (2024). Bayesian modeling framework for optimizing pre-hospital stroke triage decisions. Journal of Applied Statistics. 52(1). 135–157. 1 indexed citations

Brown, Grant, et al.. (2024). Predicting dental caries outcomes in young adults using machine learning approach. BMC Oral Health. 24(1). 529–529. 3 indexed citations

Nakkash, Rima, et al.. (2024). Syrian refugee young adults as community mental health workers implementing problem management plus: Protocol for a pilot randomized controlled trial to measure the mechanisms of effect on their own wellbeing, stress and coping. Contemporary Clinical Trials Communications. 40. 101325–101325.

Carnahan, Ryan M. & Grant Brown. (2024). The power and pitfalls of underpowered studies. Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy. 44(9). 698–700. 4 indexed citations

Brown, Grant, et al.. (2023). Hierarchical spatiotemporal modeling of human visceral leishmaniasis in Rio Grande do Norte, Brazil. PLoS neglected tropical diseases. 17(4). e0011206–e0011206. 1 indexed citations

10.

Brown, Grant, et al.. (2023). Evaluation of face shields used during aerosol generating procedures. Scientific Reports. 13(1). 15617–15617.

11.

Gilbert, Paul A., et al.. (2022). Gender differences in lifetime and current use of online support for recovery from alcohol use disorder. Alcoholism Clinical and Experimental Research. 46(6). 1073–1083. 10 indexed citations

12.

Brown, Grant, et al.. (2022). Joint Bayesian longitudinal models for mixed outcome types and associated model selection techniques. Computational Statistics. 38(4). 1735–1769. 1 indexed citations

13.

Brown, Grant, et al.. (2022). Days of Flooding Associated with Increased Risk of Influenza. Journal of Environmental and Public Health. 2022(1). 8777594–8777594. 7 indexed citations

14.

Brown, Grant, et al.. (2022). Spatially-heterogeneous embedded stochastic SEIR models for the 2014–2016 Ebola outbreak in West Africa. Spatial and Spatio-temporal Epidemiology. 41. 100505–100505. 3 indexed citations

15.

Miller, Jennifer A., et al.. (2021). Mask Effectiveness for Preventing Secondary Cases of COVID-19, Johnson County, Iowa, USA. Emerging infectious diseases. 28(1). 70–76. 16 indexed citations

16.

Brown, Grant, et al.. (2021). Determination of murine norovirus aerosol concentration during toilet flushing. Scientific Reports. 11(1). 23558–23558. 17 indexed citations

17.

Gilbert, Paul A., et al.. (2021). Maintaining recovery from alcohol use disorder during the COVID-19 pandemic: The importance of recovery capital. Drug and Alcohol Dependence. 229(Pt A). 109142–109142. 19 indexed citations

18.

Oleson, Jacob, Grant Brown, & Ryan W. McCreery. (2019). The Evolution of Statistical Methods in Speech, Language, and Hearing Sciences. Journal of Speech Language and Hearing Research. 62(3). 498–506. 29 indexed citations

19.

Brown, Grant, Aaron T. Porter, Jacob Oleson, & Jessica Hinman. (2017). Approximate Bayesian computation for spatial SEIR(S) epidemic models. Spatial and Spatio-temporal Epidemiology. 24. 27–37. 17 indexed citations

20.

Brown, Grant. (1986). Working Group "A" Report: Long-Term Solar Activity Predictions. 1. 5 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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