Katy E. Klymus

2.8k total citations · 2 hit papers
32 papers, 2.1k citations indexed

About

Katy E. Klymus is a scholar working on Ecology, Molecular Biology and Nature and Landscape Conservation. According to data from OpenAlex, Katy E. Klymus has authored 32 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Ecology, 18 papers in Molecular Biology and 8 papers in Nature and Landscape Conservation. Recurrent topics in Katy E. Klymus's work include Environmental DNA in Biodiversity Studies (24 papers), Identification and Quantification in Food (14 papers) and Microbial Community Ecology and Physiology (11 papers). Katy E. Klymus is often cited by papers focused on Environmental DNA in Biodiversity Studies (24 papers), Identification and Quantification in Food (14 papers) and Microbial Community Ecology and Physiology (11 papers). Katy E. Klymus collaborates with scholars based in United States, Canada and Tanzania. Katy E. Klymus's co-authors include Catherine A. Richter, Duane Chapman, Craig P. Paukert, Richard F. Lance, Caren S. Goldberg, Carol A. Stepien, Nathaniel T. Marshall, Andrew R. Mahon, Sara J. Oyler‐McCance and Pierre Taberlet and has published in prestigious journals such as Environmental Science & Technology, PLoS ONE and Journal of Environmental Management.

In The Last Decade

Katy E. Klymus

32 papers receiving 2.0k citations

Hit Papers

Critical considerations for the application of environmen... 2016 2026 2019 2022 2016 2019 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katy E. Klymus United States 13 1.8k 1.5k 382 243 170 32 2.1k
Brett P. Olds United States 17 1.6k 0.8× 1.3k 0.9× 319 0.8× 146 0.6× 86 0.5× 19 1.8k
Richard F. Lance United States 18 1.7k 0.9× 1.3k 0.8× 419 1.1× 260 1.1× 137 0.8× 52 2.1k
Elise M. Furlan Australia 20 1.7k 0.9× 1.4k 0.9× 404 1.1× 199 0.8× 105 0.6× 41 1.8k
Christopher M. Merkes United States 13 725 0.4× 659 0.4× 240 0.6× 89 0.4× 51 0.3× 22 1.0k
Kimiko Uchii Japan 18 902 0.5× 742 0.5× 223 0.6× 49 0.2× 54 0.3× 34 1.3k
Emy M. Monroe United States 13 675 0.4× 350 0.2× 262 0.7× 74 0.3× 93 0.5× 23 825
Raquel Xavier Portugal 19 690 0.4× 431 0.3× 190 0.5× 105 0.4× 331 1.9× 65 1.3k
Ida Bærholm Schnell Denmark 9 864 0.5× 669 0.4× 71 0.2× 234 1.0× 41 0.2× 11 1.2k
Daniela Sint Austria 20 622 0.3× 405 0.3× 142 0.4× 98 0.4× 70 0.4× 34 1.1k
Yinqiu Ji China 14 839 0.5× 580 0.4× 162 0.4× 272 1.1× 106 0.6× 15 1.2k

Countries citing papers authored by Katy E. Klymus

Since Specialization
Citations

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

Fields of papers citing papers by Katy E. Klymus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katy E. Klymus. 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 Katy E. Klymus. The network helps show where Katy E. Klymus may publish in the future.

Co-authorship network of co-authors of Katy E. Klymus

This figure shows the co-authorship network connecting the top 25 collaborators of Katy E. Klymus. A scholar is included among the top collaborators of Katy E. Klymus 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 Katy E. Klymus. Katy E. Klymus 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.
Theroux, Susanna, Adam J. Sepulveda, Cathryn L. Abbott, et al.. (2025). What is eDNA method standardisation and why do we need it?. PubMed. 9. e132076–e132076. 5 indexed citations
2.
Takahashi, Miwa, Tobias Guldberg Frøslev, Martin Laporte, et al.. (2024). Best Practice for Publishing Environmental DNA (eDNA) Data According to FAIR Principles. Biodiversity Information Science and Standards. 8. 2 indexed citations
3.
Marshall, Nathaniel T., Katy E. Klymus, & Carol A. Stepien. (2024). Species Richness and Distribution of Sphaeriidae Surveyed with Environmental DNA Metabarcoding. 27(1). 2 indexed citations
4.
George, Scott D., Adam J. Sepulveda, Patrick R. Hutchins, et al.. (2024). Field Trials of an Autonomous eDNA Sampler in Lotic Waters. Environmental Science & Technology. 58(47). 20942–20953. 5 indexed citations
5.
Sansom, Brandon J., et al.. (2024). Detection and transport of environmental DNA from two federally endangered mussels. PLoS ONE. 19(10). e0304323–e0304323. 2 indexed citations
6.
Ruiz‐Ramos, Dannise V., et al.. (2024). Environmental DNA dynamics of three species of unionid freshwater mussels. Environmental DNA. 6(2). 2 indexed citations
7.
8.
Stepien, Carol A., Richard F. Lance, Katy E. Klymus, & Margaret E. Hunter. (2023). The Government eDNA Working Group 6th Annual eDNA Technical Exchange Workshop. Environmental DNA. 5(6). 1196–1201. 4 indexed citations
9.
Beattie, Rachelle E., Caren C. Helbing, Katy E. Klymus, et al.. (2023). A nitrifier‐enriched microbial community contributes to the degradation of environmental DNA. Environmental DNA. 5(6). 1473–1483. 2 indexed citations
10.
Ballantyne, Scott, Steven T. Suhr, Marie‐Claude Senut, et al.. (2023). Toward invasive mussel genetic biocontrol: Approaches, challenges, and perspectives. iScience. 26(10). 108027–108027. 3 indexed citations
11.
Klymus, Katy E., et al.. (2020). Development and Testing of Species-specific Quantitative PCR Assays for Environmental DNA Applications. Journal of Visualized Experiments. 35 indexed citations
12.
Klymus, Katy E., et al.. (2020). Metabarcoding assays for the detection of freshwater mussels (Unionida) with environmental DNA. Environmental DNA. 3(1). 231–247. 22 indexed citations
13.
Klymus, Katy E., Christopher M. Merkes, Michael J. Allison, et al.. (2019). Reporting the limits of detection and quantification for environmental DNA assays. Environmental DNA. 2(3). 271–282. 377 indexed citations breakdown →
14.
Trebitz, Anett S., Joel C. Hoffman, John A. Darling, et al.. (2017). Early detection monitoring for aquatic non-indigenous species: Optimizing surveillance, incorporating advanced technologies, and identifying research needs. Journal of Environmental Management. 202(Pt 1). 299–310. 88 indexed citations
15.
16.
Lance, Richard F., et al.. (2017). Experimental observations on the decay of environmental DNA from bighead and silver carps. Management of Biological Invasions. 8(3). 343–359. 104 indexed citations
17.
Klymus, Katy E., Nathaniel T. Marshall, & Carol A. Stepien. (2017). Environmental DNA (eDNA) metabarcoding assays to detect invasive invertebrate species in the Great Lakes. PLoS ONE. 12(5). e0177643–e0177643. 134 indexed citations
18.
Klymus, Katy E., Catherine A. Richter, Duane Chapman, & Craig P. Paukert. (2014). Quantification of eDNA shedding rates from invasive bighead carp Hypophthalmichthys nobilis and silver carp Hypophthalmichthys molitrix. Biological Conservation. 183. 77–84. 353 indexed citations
19.
Klymus, Katy E. & H. Carl Gerhardt. (2012). AFLP markers resolve intra-specific relationships and infer genetic structure among lineages of the canyon treefrog, Hyla arenicolor. Molecular Phylogenetics and Evolution. 65(2). 654–667. 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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