Kellie A. Fay

600 total citations
17 papers, 419 citations indexed

About

Kellie A. Fay is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Aquatic Science. According to data from OpenAlex, Kellie A. Fay has authored 17 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Health, Toxicology and Mutagenesis, 6 papers in Pollution and 4 papers in Aquatic Science. Recurrent topics in Kellie A. Fay's work include Environmental Toxicology and Ecotoxicology (13 papers), Pharmaceutical and Antibiotic Environmental Impacts (6 papers) and Reproductive biology and impacts on aquatic species (4 papers). Kellie A. Fay is often cited by papers focused on Environmental Toxicology and Ecotoxicology (13 papers), Pharmaceutical and Antibiotic Environmental Impacts (6 papers) and Reproductive biology and impacts on aquatic species (4 papers). Kellie A. Fay collaborates with scholars based in United States, Ghana and Switzerland. Kellie A. Fay's co-authors include Daniel L. Villeneuve, Gerald T. Ankley, John W. Nichols, Brett R. Blackwell, Alex D. Hoffman, Patrick N. Fitzsimmons, Austin K. Baldwin, Laura A. De Cicco, Steven R. Corsi and Joe Swintek and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Toxicological Sciences.

In The Last Decade

Kellie A. Fay

16 papers receiving 413 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kellie A. Fay United States 12 303 207 42 42 36 17 419
Cléo Tebby France 15 298 1.0× 192 0.9× 39 0.9× 50 1.2× 47 1.3× 35 532
Joe Swintek United States 10 333 1.1× 227 1.1× 39 0.9× 38 0.9× 52 1.4× 17 492
Jonathan T. Haselman United States 13 279 0.9× 79 0.4× 29 0.7× 25 0.6× 97 2.7× 20 526
Jon Hamm United States 10 216 0.7× 72 0.3× 27 0.6× 20 0.5× 55 1.5× 18 364
Silvia Maggioni Italy 8 364 1.2× 317 1.5× 14 0.3× 28 0.7× 73 2.0× 11 592
Travis Saari United States 8 153 0.5× 103 0.5× 18 0.4× 30 0.7× 65 1.8× 10 320
Reza Farmahin Canada 17 534 1.8× 122 0.6× 70 1.7× 67 1.6× 118 3.3× 24 734
Evelyn Stinckens Belgium 10 266 0.9× 83 0.4× 17 0.4× 15 0.4× 58 1.6× 10 448
Barbara R. Sheedy United States 10 247 0.8× 139 0.7× 15 0.4× 29 0.7× 25 0.7× 22 356
Christopher J. Borgert United States 9 200 0.7× 92 0.4× 26 0.6× 30 0.7× 25 0.7× 15 315

Countries citing papers authored by Kellie A. Fay

Since Specialization
Citations

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

Fields of papers citing papers by Kellie A. Fay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kellie A. Fay. 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 Kellie A. Fay. The network helps show where Kellie A. Fay may publish in the future.

Co-authorship network of co-authors of Kellie A. Fay

This figure shows the co-authorship network connecting the top 25 collaborators of Kellie A. Fay. A scholar is included among the top collaborators of Kellie A. Fay 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 Kellie A. Fay. Kellie A. Fay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
2.
Viant, Mark R., Bruno Campos, John K. Colbourne, et al.. (2024). Utilizing Omics Data for Chemical Grouping. Environmental Toxicology and Chemistry. 43(10). 2094–2104. 7 indexed citations
3.
Ekman, Drew R., Marina G. Evich, Jonathan D. Mosley, et al.. (2023). Expanding non‐invasive approaches for fish‐health monitoring: A survey of the epidermal mucous metabolomes of phylogenetically diverse freshwater fish species. Journal of Fish Biology. 103(5). 1178–1189. 1 indexed citations
4.
5.
Ankley, Gerald T., Jason P. Berninger‌, Brett R. Blackwell, et al.. (2020). Pathway-Based Approaches for Assessing Biological Hazards of Complex Mixtures of Contaminants: A Case Study in the Maumee River. Environmental Toxicology and Chemistry. 40(4). 1098–1122. 17 indexed citations
6.
Doering, Jon A., Daniel L. Villeneuve, Kellie A. Fay, et al.. (2019). Differential Sensitivity to In Vitro Inhibition of Cytochrome P450 Aromatase (CYP19) Activity Among 18 Freshwater Fishes. Toxicological Sciences. 170(2). 394–403. 21 indexed citations
7.
Corsi, Steven R., Laura A. De Cicco, Daniel L. Villeneuve, et al.. (2019). Prioritizing chemicals of ecological concern in Great Lakes tributaries using high-throughput screening data and adverse outcome pathways. The Science of The Total Environment. 686. 995–1009. 79 indexed citations
8.
Fay, Kellie A., Daniel L. Villeneuve, Joe Swintek, et al.. (2018). Differentiating Pathway-Specific From Nonspecific Effects in High-Throughput Toxicity Data: A Foundation for Prioritizing Adverse Outcome Pathway Development. Toxicological Sciences. 163(2). 500–515. 44 indexed citations
9.
Fitzsimmons, Patrick N., Alex D. Hoffman, Kellie A. Fay, & John W. Nichols. (2018). Allometric scaling of hepatic biotransformation in rainbow trout. Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 214. 52–60. 10 indexed citations
10.
Nichols, John W., Kellie A. Fay, Mary Jo Bernhard, et al.. (2018). Reliability of In Vitro Methods Used to Measure Intrinsic Clearance of Hydrophobic Organic Chemicals by Rainbow Trout: Results of an International Ring Trial. Toxicological Sciences. 164(2). 563–575. 44 indexed citations
11.
Cavallin, Jenna E., Gerald T. Ankley, Brett R. Blackwell, et al.. (2017). Impaired swim bladder inflation in early life stage fathead minnows exposed to a deiodinase inhibitor, iopanoic acid. Environmental Toxicology and Chemistry. 36(11). 2942–2952. 25 indexed citations
12.
Fay, Kellie A., Daniel L. Villeneuve, Carlie A. LaLone, et al.. (2017). Practical approaches to adverse outcome pathway development and weight-of-evidence evaluation as illustrated by ecotoxicological case studies. Environmental Toxicology and Chemistry. 36(6). 1429–1449. 41 indexed citations
13.
Chen, Yi, Joop L. M. Hermens, Michiel T. O. Jonker, et al.. (2016). Which Molecular Features Affect the Intrinsic Hepatic Clearance Rate of Ionizable Organic Chemicals in Fish?. Environmental Science & Technology. 50(23). 12722–12731. 24 indexed citations
14.
Fay, Kellie A., Patrick N. Fitzsimmons, Alex D. Hoffman, & John W. Nichols. (2016). Comparison of trout hepatocytes and liver S9 fractions as in vitro models for predicting hepatic clearance in fish. Environmental Toxicology and Chemistry. 36(2). 463–471. 25 indexed citations
15.
Fay, Kellie A., Diane L. Nabb, Robert T. Mingoia, et al.. (2015). Determination of Metabolic Stability Using Cryopreserved Hepatocytes from Rainbow Trout (Oncorhynchus mykiss). Current Protocols in Toxicology. 65(1). 4.42.1–4.42.29. 10 indexed citations
16.
Fay, Kellie A., Robert T. Mingoia, Diane L. Nabb, et al.. (2014). Intra- and Interlaboratory Reliability of a Cryopreserved Trout Hepatocyte Assay for the Prediction of Chemical Bioaccumulation Potential. Environmental Science & Technology. 48(14). 8170–8178. 34 indexed citations
17.
Fay, Kellie A., Patrick N. Fitzsimmons, Alex D. Hoffman, & John W. Nichols. (2013). Optimizing the use of rainbow trout hepatocytes for bioaccumulation assessments with fish. Xenobiotica. 44(4). 345–351. 21 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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