Amie M.G. Brady

700 total citations
27 papers, 547 citations indexed

About

Amie M.G. Brady is a scholar working on Water Science and Technology, Environmental Chemistry and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Amie M.G. Brady has authored 27 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Water Science and Technology, 9 papers in Environmental Chemistry and 5 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Amie M.G. Brady's work include Fecal contamination and water quality (13 papers), Water Quality and Resources Studies (10 papers) and Soil and Water Nutrient Dynamics (9 papers). Amie M.G. Brady is often cited by papers focused on Fecal contamination and water quality (13 papers), Water Quality and Resources Studies (10 papers) and Soil and Water Nutrient Dynamics (9 papers). Amie M.G. Brady collaborates with scholars based in United States, Romania and Vietnam. Amie M.G. Brady's co-authors include Donna S. Francy, Erin A. Stelzer, Rebecca N. Bushon, Susan K. Spencer, Christina A. Likirdopulos, Mark A. Borchardt, Michael W. Ware, Keith A. Loftin, Jennifer L. Graham and Daryl F. Dwyer and has published in prestigious journals such as Applied and Environmental Microbiology, Water Research and Journal of Applied Microbiology.

In The Last Decade

Amie M.G. Brady

27 papers receiving 507 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amie M.G. Brady United States 13 295 119 109 89 82 27 547
Blythe A. Layton United States 10 405 1.4× 144 1.2× 73 0.7× 114 1.3× 141 1.7× 13 684
Donna S. Francy United States 17 480 1.6× 181 1.5× 144 1.3× 124 1.4× 177 2.2× 36 940
Erin A. Stelzer United States 15 391 1.3× 135 1.1× 225 2.1× 109 1.2× 121 1.5× 35 774
Trisha B. Johnson United States 8 192 0.7× 157 1.3× 243 2.2× 97 1.1× 48 0.6× 9 687
Jon H. Standridge United States 14 237 0.8× 53 0.4× 149 1.4× 107 1.2× 58 0.7× 27 579
Deborah K. Dila United States 12 203 0.7× 64 0.5× 74 0.7× 91 1.0× 113 1.4× 18 748
Moı̈se Nola Cameroon 13 201 0.7× 87 0.7× 70 0.6× 49 0.6× 49 0.6× 88 653
Colin Besley Australia 13 246 0.8× 120 1.0× 63 0.6× 81 0.9× 58 0.7× 32 637
Jeanine D. Plummer United States 13 258 0.9× 72 0.6× 165 1.5× 225 2.5× 60 0.7× 25 725
Maribeth L. Gidley United States 14 338 1.1× 140 1.2× 47 0.4× 125 1.4× 79 1.0× 25 667

Countries citing papers authored by Amie M.G. Brady

Since Specialization
Citations

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

Fields of papers citing papers by Amie M.G. Brady

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amie M.G. Brady. 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 Amie M.G. Brady. The network helps show where Amie M.G. Brady may publish in the future.

Co-authorship network of co-authors of Amie M.G. Brady

This figure shows the co-authorship network connecting the top 25 collaborators of Amie M.G. Brady. A scholar is included among the top collaborators of Amie M.G. Brady 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 Amie M.G. Brady. Amie M.G. Brady 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.
Francy, Donna S., et al.. (2020). Predicting microcystin concentration action-level exceedances resulting from cyanobacterial blooms in selected lake sites in Ohio. Environmental Monitoring and Assessment. 192(8). 513–513. 13 indexed citations
2.
Francy, Donna S., et al.. (2020). Pilot-scale testing of dairy manure treatments to reduce nutrient transport from land application, northwest Ohio, 2015–17. Scientific investigations report. 2 indexed citations
3.
Francy, Donna S., et al.. (2020). Nowcasting methods for determining microbiological water quality at recreational beaches and drinking-water source waters. Journal of Microbiological Methods. 175. 105970–105970. 17 indexed citations
4.
5.
Francy, Donna S., Amie M.G. Brady, Jennifer L. Graham, et al.. (2016). Estimating microcystin levels at recreational sites in western Lake Erie and Ohio. Harmful Algae. 58. 23–34. 47 indexed citations
6.
7.
Bushon, Rebecca N., Amie M.G. Brady, & Bruce D. Lindsey. (2015). Holding-time and method comparisons for the analysis of fecal-indicator bacteria in groundwater. Environmental Monitoring and Assessment. 187(11). 672–672. 5 indexed citations
8.
9.
Francy, Donna S., Erin A. Stelzer, Joseph W. Duris, et al.. (2013). Predictive Models for Escherichia coli Concentrations at Inland Lake Beaches and Relationship of Model Variables to Pathogen Detection. Applied and Environmental Microbiology. 79(5). 1676–1688. 55 indexed citations
10.
Francy, Donna S., et al.. (2013). Developing and implementing the use of predictive models for estimating water quality at Great Lakes beaches. Scientific investigations report. 11 indexed citations
11.
Francy, Donna S., et al.. (2013). Comparing rapid and culture indicator bacteria methods at inland lake beaches. Lake and Reservoir Management. 29(2). 99–102. 7 indexed citations
12.
Francy, Donna S., Erin A. Stelzer, Rebecca N. Bushon, et al.. (2012). Comparative effectiveness of membrane bioreactors, conventional secondary treatment, and chlorine and UV disinfection to remove microorganisms from municipal wastewaters. Water Research. 46(13). 4164–4178. 135 indexed citations
13.
Brady, Amie M.G., et al.. (2010). Occurrence of Escherichia coli in the Cuyahoga River in the Cuyahoga Valley National Park, Ohio. Fact sheet. 1 indexed citations
14.
Bushon, Rebecca N., Christina A. Likirdopulos, & Amie M.G. Brady. (2009). Comparison of immunomagnetic separation/adenosine triphosphate rapid method to traditional culture-based method for E. coli and enterococci enumeration in wastewater. Water Research. 43(19). 4940–4946. 21 indexed citations
15.
16.
Bushon, Rebecca N., et al.. (2009). Rapid detection ofEscherichia coliand enterococci in recreational water using an immunomagnetic separation/adenosine triphosphate technique. Journal of Applied Microbiology. 106(2). 432–441. 26 indexed citations
17.
Francy, Donna S., Rebecca N. Bushon, Amie M.G. Brady, et al.. (2009). Comparison of traditional and molecular analytical methods for detecting biological agents in raw and drinking water following ultrafiltration. Journal of Applied Microbiology. 107(5). 1479–1491. 25 indexed citations
18.
Bushon, Rebecca N., et al.. (2006). Using a rapid method to predict recreational water quality at Cuyahoga Valley National Park, Ohio. 24(2). 89–93. 2 indexed citations
19.
Bunnell, Joseph E., Călin Tatu, Rebecca N. Bushon, et al.. (2006). Possible linkages between lignite aquifers, pathogenic microbes, and renal pelvic cancer in northwestern Louisiana, USA. Environmental Geochemistry and Health. 28(6). 577–587. 18 indexed citations
20.
Francy, Donna S., et al.. (2005). A spatial, multivariable approach for identifying proximate sources of Escherichia coli to Maumee Bay, Lake Erie, Ohio. Antarctica A Keystone in a Changing World. 7 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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