Kevin Flynn

785 total citations
30 papers, 638 citations indexed

About

Kevin Flynn is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Physiology. According to data from OpenAlex, Kevin Flynn has authored 30 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Health, Toxicology and Mutagenesis, 7 papers in Pollution and 7 papers in Physiology. Recurrent topics in Kevin Flynn's work include Environmental Toxicology and Ecotoxicology (9 papers), Reproductive biology and impacts on aquatic species (7 papers) and Fish Ecology and Management Studies (6 papers). Kevin Flynn is often cited by papers focused on Environmental Toxicology and Ecotoxicology (9 papers), Reproductive biology and impacts on aquatic species (7 papers) and Fish Ecology and Management Studies (6 papers). Kevin Flynn collaborates with scholars based in United States, Ghana and Japan. Kevin Flynn's co-authors include Robert G. Traver, Sigmund J. Degitz, Patricia A. Kosian, Joseph E. Tietge, Gary W. Holcombe, Joseph J. Korte, Rodney D. Johnson, Joe Swintek, Douglas C. Wolf and Daniel L. Villeneuve and has published in prestigious journals such as Analytica Chimica Acta, Toxicological Sciences and Environmental Toxicology and Chemistry.

In The Last Decade

Kevin Flynn

29 papers receiving 618 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin Flynn United States 12 313 122 115 108 90 30 638
Yanbin Zhao China 18 570 1.8× 353 2.9× 226 2.0× 83 0.8× 140 1.6× 43 1.2k
Heather E. Gall United States 16 228 0.7× 370 3.0× 194 1.7× 78 0.7× 93 1.0× 35 831
Ann Skillman United States 13 327 1.0× 195 1.6× 299 2.6× 15 0.1× 55 0.6× 18 756
Karen H. Watanabe United States 22 603 1.9× 318 2.6× 264 2.3× 15 0.1× 53 0.6× 56 1.3k
Saro Jayaraman United States 17 456 1.5× 188 1.5× 95 0.8× 10 0.1× 60 0.7× 30 854
David Hala United States 15 244 0.8× 240 2.0× 128 1.1× 8 0.1× 38 0.4× 44 623
Yuhui Zhang China 15 224 0.7× 95 0.8× 15 0.1× 25 0.2× 106 1.2× 54 603
Yingren Li China 17 632 2.0× 405 3.3× 42 0.4× 21 0.2× 75 0.8× 25 1.1k
Tiina Petänen Finland 9 221 0.7× 196 1.6× 82 0.7× 18 0.2× 12 0.1× 10 560
John C. O’Connor United States 15 618 2.0× 53 0.4× 24 0.2× 13 0.1× 76 0.8× 22 964

Countries citing papers authored by Kevin Flynn

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Flynn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Flynn

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Flynn. A scholar is included among the top collaborators of Kevin Flynn 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 Kevin Flynn. Kevin Flynn 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.
Villeneuve, Daniel L., Adam Biales, Logan J. Everett, et al.. (2025). Comparison of whole transcriptome and targeted RNA sequencing for ecological high-throughput transcriptomics. Regulatory Toxicology and Pharmacology. 162. 105898–105898.
2.
Cavallin, Jenna E., Laura DeCicco, Kevin Flynn, et al.. (2025). Application of transcriptomics concentration-response modeling for prioritization of contaminants detected in tributaries of the North American Great Lakes. Environmental Toxicology and Chemistry. 44(5). 1310–1321. 2 indexed citations
3.
Villeneuve, Daniel L., et al.. (2024). Transcriptomics-based points of departure for Daphnia magna exposed to 18 per- and polyfluoroalkyl substances. Environmental Toxicology and Chemistry. 44(9). 2470–2484. 6 indexed citations
4.
Flynn, Kevin, Michelle Le, Adam Biales, et al.. (2024). Comparing Transcriptomic Points of Departure to Apical Effect Concentrations For Larval Fathead Minnow Exposed to Chemicals with Four Different Modes Of Action. Archives of Environmental Contamination and Toxicology. 86(4). 346–362. 8 indexed citations
5.
Villeneuve, Daniel L., et al.. (2024). Derivation of transcriptomics-based points of departure for 20 per- or polyfluoroalkyl substances using a larval fathead minnow (Pimephales promelas) reduced transcriptome assay. Environmental Toxicology and Chemistry. 44(9). 2455–2469. 6 indexed citations
6.
7.
Villeneuve, Daniel L., Michelle Le, Adam Biales, et al.. (2022). Pilot testing and optimization of a larval fathead minnow high throughput transcriptomics assay. Current Research in Toxicology. 4. 100099–100099. 16 indexed citations
8.
Pollesch, Nathan, et al.. (2021). Developing integral projection models for ecotoxicology. Ecological Modelling. 464. 109813–109813. 5 indexed citations
9.
Flynn, Kevin, et al.. (2021). Effects of a 28-day early life stage exposure to carbaryl on fathead minnow long-term growth and reproduction. Aquatic Toxicology. 242. 106018–106018. 8 indexed citations
10.
Swintek, Joe, Matthew A. Etterson, Kevin Flynn, & Rodney D. Johnson. (2019). Optimized temporal sampling designs of the Weibull growth curve with extensions to the von Bertalanffy model. Environmetrics. 30(6). 7 indexed citations
11.
12.
Schroeder, Anthony, Gerald T. Ankley, Brett R. Blackwell, et al.. (2016). Impaired anterior swim bladder inflation following exposure to the thyroid peroxidase inhibitor 2-mercaptobenzothiazole part I: Fathead minnow. Aquatic Toxicology. 173. 192–203. 41 indexed citations
13.
Flynn, Kevin, Joe Swintek, & Rodney D. Johnson. (2016). The influence of control group reproduction on the statistical power of the Environmental Protection Agency's Medaka Extended One Generation Reproduction Test (MEOGRT). Ecotoxicology and Environmental Safety. 136. 8–13. 3 indexed citations
14.
LaLone, Carlie A., Daniel L. Villeneuve, Jenna E. Cavallin, et al.. (2013). Cross-species sensitivity to a novel androgen receptor agonist of potential environmental concern, spironolactone. Environmental Toxicology and Chemistry. 32(11). 2528–2541. 34 indexed citations
15.
Flynn, Kevin, et al.. (2012). Operation and Maintenance Assessment for Structural Stormwater BMPs. World Environmental And Water Resources Congress 2012. 3662–3673. 16 indexed citations
16.
Flynn, Kevin, et al.. (2010). Real-time PCR-based prediction of gonad phenotype in medaka. Ecotoxicology and Environmental Safety. 73(4). 589–594. 4 indexed citations
17.
Wallace, W.E., Charles M. Guttman, Kevin Flynn, & Anthony J. Kearsley. (2007). Numerical optimization of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry: Application to synthetic polymer molecular mass distribution measurement. Analytica Chimica Acta. 604(1). 62–68. 8 indexed citations
18.
19.
Winn, Richard N., et al.. (2005). Sub-chronic exposure to 1,1-dichloropropene induces frameshift mutations in λ transgenic medaka. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 595(1-2). 52–59. 8 indexed citations
20.
Hornung, Michael W., et al.. (2004). Use of multi-photon laser-scanning microscopy to describe the distribution of xenobiotic chemicals in fish early life stages. Aquatic Toxicology. 67(1). 1–11. 18 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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2026