Donna S. Francy

1.4k total citations
36 papers, 940 citations indexed

About

Donna S. Francy is a scholar working on Water Science and Technology, Environmental Chemistry and Environmental Engineering. According to data from OpenAlex, Donna S. Francy has authored 36 papers receiving a total of 940 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Water Science and Technology, 10 papers in Environmental Chemistry and 8 papers in Environmental Engineering. Recurrent topics in Donna S. Francy's work include Fecal contamination and water quality (14 papers), Water Quality and Resources Studies (12 papers) and Soil and Water Nutrient Dynamics (8 papers). Donna S. Francy is often cited by papers focused on Fecal contamination and water quality (14 papers), Water Quality and Resources Studies (12 papers) and Soil and Water Nutrient Dynamics (8 papers). Donna S. Francy collaborates with scholars based in United States. Donna S. Francy's co-authors include Amie M.G. Brady, Robert A. Darner, Erin A. Stelzer, Rebecca N. Bushon, Frank W. Schaefer, Otto D. Simmons, Mark D. Sobsey, John Thomas, C. H. Ward and R. L. Raymond and has published in prestigious journals such as Applied and Environmental Microbiology, Water Research and Journal of Applied Microbiology.

In The Last Decade

Donna S. Francy

35 papers receiving 840 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Donna S. Francy United States 17 480 181 177 144 124 36 940
Alexandra Keegan Australia 19 193 0.4× 194 1.1× 93 0.5× 146 1.0× 139 1.1× 45 1.2k
Nanda Altavilla Australia 7 280 0.6× 94 0.5× 133 0.8× 57 0.4× 80 0.6× 9 808
Alexander Schriewer United States 16 455 0.9× 167 0.9× 306 1.7× 32 0.2× 128 1.0× 21 976
Donna Ferguson United States 12 428 0.9× 179 1.0× 140 0.8× 32 0.2× 160 1.3× 16 773
Audrey D. Levine United States 14 690 1.4× 172 1.0× 193 1.1× 180 1.3× 292 2.4× 45 1.5k
Otto D. Simmons United States 15 470 1.0× 129 0.7× 294 1.7× 33 0.2× 212 1.7× 25 896
Carl Stapleton United Kingdom 16 557 1.2× 89 0.5× 252 1.4× 131 0.9× 151 1.2× 30 791
Gary S. Logsdon United States 16 404 0.8× 176 1.0× 178 1.0× 166 1.2× 259 2.1× 54 1.2k
T. A. Stenström Sweden 17 357 0.7× 143 0.8× 111 0.6× 65 0.5× 325 2.6× 25 1.3k
Émilie Lyautey France 19 419 0.9× 102 0.6× 149 0.8× 283 2.0× 191 1.5× 43 1.6k

Countries citing papers authored by Donna S. Francy

Since Specialization
Citations

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

Fields of papers citing papers by Donna S. Francy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donna S. Francy. 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 Donna S. Francy. The network helps show where Donna S. Francy may publish in the future.

Co-authorship network of co-authors of Donna S. Francy

This figure shows the co-authorship network connecting the top 25 collaborators of Donna S. Francy. A scholar is included among the top collaborators of Donna S. Francy 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 Donna S. Francy. Donna S. Francy 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.
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
5.
6.
Francy, Donna S. & Robert A. Darner. (2014). Procedures for Developing Models to Predict Exceedances of Recreational Water-Quality Standards at Coastal Beaches. 152. 112–113. 10 indexed citations
7.
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
8.
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
9.
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
10.
Bushon, Rebecca N., et al.. (2009). Statistical assessment of DNA extraction reagent lot variability in real-time quantitative PCR. Letters in Applied Microbiology. 50(3). 276–282. 17 indexed citations
11.
Francy, Donna S.. (2009). Use of predictive models and rapid methods to nowcast bacteria levels at coastal beaches. Aquatic Ecosystem Health & Management. 12(2). 177–182. 40 indexed citations
12.
Francy, Donna S. & Robert A. Darner. (2007). Nowcasting Beach Advisories at Ohio Lake Erie Beaches. Antarctica A Keystone in a Changing World. 16 indexed citations
13.
Francy, Donna S. & Robert A. Darner. (2006). Section 5. Procedures for Developing Models To Predict Exceedances of Recreational Water-Quality Standards at Coastal Beaches. Techniques and methods. 13 indexed citations
14.
Francy, Donna S., et al.. (2006). Models for predicting recreational water quality at Lake Erie beaches. Scientific investigations report. 29 indexed citations
15.
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
16.
17.
Francy, Donna S. & Robert A. Darner. (2002). Forecasting bacteria levels at bathing beaches in Ohio. Fact sheet. 7 indexed citations
18.
Simmons, Otto D., et al.. (2001). Evaluation of USEPA Method 1622 for detection of Cryptosporidium oocysts in stream waters. American Water Works Association. 93(1). 78–87. 17 indexed citations
19.
Simmons, Otto D., Mark D. Sobsey, Christopher D. Heaney, Frank W. Schaefer, & Donna S. Francy. (2001). Concentration and Detection of Cryptosporidium Oocysts in Surface Water Samples by Method 1622 Using Ultrafiltration and Capsule Filtration. Applied and Environmental Microbiology. 67(3). 1123–1127. 89 indexed citations
20.
Francy, Donna S., et al.. (2000). Occurrence and Distribution of Microbiological Indicators in Groundwater and Stream Water. Water Environment Research. 72(2). 152–161. 57 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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