Kyle P. Messier

2.6k total citations · 1 hit paper
42 papers, 1.8k citations indexed

About

Kyle P. Messier is a scholar working on Health, Toxicology and Mutagenesis, Environmental Engineering and Automotive Engineering. According to data from OpenAlex, Kyle P. Messier has authored 42 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Health, Toxicology and Mutagenesis, 17 papers in Environmental Engineering and 7 papers in Automotive Engineering. Recurrent topics in Kyle P. Messier's work include Air Quality and Health Impacts (22 papers), Air Quality Monitoring and Forecasting (11 papers) and Vehicle emissions and performance (7 papers). Kyle P. Messier is often cited by papers focused on Air Quality and Health Impacts (22 papers), Air Quality Monitoring and Forecasting (11 papers) and Vehicle emissions and performance (7 papers). Kyle P. Messier collaborates with scholars based in United States, Netherlands and United Kingdom. Kyle P. Messier's co-authors include Joshua S. Apte, Roel Vermeulen, Melissa M. Lunden, Julian Marshall, Christopher J. Portier, Shahzad Gani, Marc L. Serre, Steven P. Hamburg, Michael Bräuer and Thomas W. Kirchstetter and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Environmental Science & Technology and Bioinformatics.

In The Last Decade

Kyle P. Messier

39 papers receiving 1.8k citations

Hit 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.

High-Resolution Air Pollution Mapping with Google Street View Cars: Exploiting Big Data

2017 538 citations Joshua S. Apte, Kyle P. Messier et al. Environmental Science & Technology profile →

Peers

Kyle P. Messier

HTM

GPC

Luther Smith United States

Elena Austin United States

Helen ApSimon United Kingdom

Mathilde Pascal France

Bruce Misstear Ireland

Veronica J. Berrocal United States

Elena Boldo Spain

Edmílson Dias de Freitas Brazil

Jie Ban China

Mohammad Sadegh Hassanvand Iran

Luther Smith United States

Kyle P. Messier

1.1k ×0.8

HTM

431 ×0.5

228 ×0.6

296 ×1.0

138 ×0.5

GPC

Citations per year, relative to Kyle P. Messier Kyle P. Messier (= 1×) peers Luther Smith

Countries citing papers authored by Kyle P. Messier

Since Specialization

Citations

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

Fields of papers citing papers by Kyle P. Messier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle P. Messier. 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 Kyle P. Messier. The network helps show where Kyle P. Messier may publish in the future.

Co-authorship network of co-authors of Kyle P. Messier

This figure shows the co-authorship network connecting the top 25 collaborators of Kyle P. Messier. A scholar is included among the top collaborators of Kyle P. Messier 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 Kyle P. Messier. Kyle P. Messier 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

Reich, Brian J., et al.. (2024). Associations between flood risk and US Census tract–level health outcomes. American Journal of Epidemiology. 193(10). 1384–1391.

Messier, Kyle P., et al.. (2024). Reflected generalized concentration addition and Bayesian hierarchical models to improve chemical mixture prediction. PLoS ONE. 19(3). e0298687–e0298687. 2 indexed citations

Messier, Kyle P., et al.. (2024). Bayesian gene set benchmark dose estimation for “omic” responses. Bioinformatics. 41(1).

Cui, Yuxia, Kristin M. Eccles, Richard K. Kwok, et al.. (2022). Integrating Multiscale Geospatial Environmental Data into Large Population Health Studies: Challenges and Opportunities. Toxics. 10(7). 403–403. 15 indexed citations

Akhtari, Farida S., David C. Fargo, Charles Schmitt, et al.. (2022). The skin is no barrier to mixtures: Air pollutant mixtures and reported psoriasis or eczema in the Personalized Environment and Genes Study (PEGS). Journal of Exposure Science & Environmental Epidemiology. 33(3). 474–481. 18 indexed citations

Messier, Kyle P., et al.. (2022). Ambient Air Pollution Exposure Assessments in Fertility Studies: a Systematic Review and Guide for Reproductive Epidemiologists. Current Epidemiology Reports. 9(2). 87–107. 8 indexed citations

Eccles, Kristin M., Agnes L. Karmaus, Nicole Kleinstreuer, et al.. (2022). A geospatial modeling approach to quantifying the risk of exposure to environmental chemical mixtures via a common molecular target. The Science of The Total Environment. 855. 158905–158905. 6 indexed citations

Gani, Shahzad, Sarah Chambliss, Kyle P. Messier, Melissa M. Lunden, & Joshua S. Apte. (2021). Spatiotemporal profiles of ultrafine particles differ from other traffic-related air pollutants: lessons from long-term measurements at fixed sites and mobile monitoring. Environmental Science Atmospheres. 1(7). 558–568. 29 indexed citations

Chambliss, Sarah, Kyle P. Messier, B. W. LaFranchi, et al.. (2021). Local- and regional-scale racial and ethnic disparities in air pollution determined by long-term mobile monitoring. Proceedings of the National Academy of Sciences. 118(37). 97 indexed citations

10.

Robinson, Ellis S., Rishabh U. Shah, Kyle P. Messier, et al.. (2019). Land-Use Regression Modeling of Source-Resolved Fine Particulate Matter Components from Mobile Sampling. Environmental Science & Technology. 53(15). 8925–8937. 36 indexed citations

11.

Messier, Kyle P., David C. Wheeler, Abigail Flory, et al.. (2018). Modeling groundwater nitrate exposure in private wells of North Carolina for the Agricultural Health Study. The Science of The Total Environment. 655. 512–519. 44 indexed citations

12.

Holcomb, David, et al.. (2018). Geostatistical Prediction of Microbial Water Quality Throughout a Stream Network Using Meteorology, Land Cover, and Spatiotemporal Autocorrelation. Environmental Science & Technology. 52(14). 7775–7784. 23 indexed citations

13.

Downward, George S., Jules Kerckhoffs, Paolo Vineis, et al.. (2018). Long-Term Exposure to Ultrafine Particles and Incidence of Cardiovascular and Cerebrovascular Disease in a Prospective Study of a Dutch Cohort. Environmental Health Perspectives. 126(12). 127007–127007. 154 indexed citations

14.

Alexeeff, Stacey, Ananya Roy, Xi Liu, et al.. (2018). High-resolution mapping of traffic related air pollution with Google street view cars and incidence of cardiovascular events within neighborhoods in Oakland, CA. Environmental Health. 17(1). 38–38. 99 indexed citations

15.

Smith, Geneé S., Kyle P. Messier, James Crooks, et al.. (2017). Extreme precipitation and emergency room visits for influenza in Massachusetts: a case-crossover analysis. Environmental Health. 16(1). 108–108. 20 indexed citations

16.

Kerckhoffs, Jules, Gerard Hoek, Jelle Vlaanderen, et al.. (2017). Robustness of intra urban land-use regression models for ultrafine particles and black carbon based on mobile monitoring. Environmental Research. 159. 500–508. 59 indexed citations

17.

Smith, Geneé S., Andrew J. Ghio, Jason E. Stout, et al.. (2016). Epidemiology of nontuberculous mycobacteria isolations among central North Carolina residents, 2006–2010. Journal of Infection. 72(6). 678–686. 56 indexed citations

18.

Messier, Kyle P. & Marc L. Serre. (2016). Lung and stomach cancer associations with groundwater radon in North Carolina, USA. International Journal of Epidemiology. 46(2). dyw128–dyw128. 37 indexed citations

19.

Jagai, Jyotsna S., Quanlin Li, Hua Wang, et al.. (2015). Extreme Precipitation and Emergency Room Visits for Gastrointestinal Illness in Areas with and without Combined Sewer Systems: An Analysis of Massachusetts Data, 2003–2007. Environmental Health Perspectives. 123(9). 873–879. 72 indexed citations

20.

Messier, Kyle P., L. Elizabeth Jackson, Jennifer L. White, & Elizabeth D. Hilborn. (2014). Landscape risk factors for Lyme disease in the eastern broadleaf forest province of the Hudson River valley and the effect of explanatory data classification resolution. Spatial and Spatio-temporal Epidemiology. 12. 9–17. 10 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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