Jennifer E. Kay

2.0k total citations · 2 hit papers
21 papers, 1.4k citations indexed

About

Jennifer E. Kay is a scholar working on Molecular Biology, Cancer Research and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Jennifer E. Kay has authored 21 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Cancer Research and 5 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Jennifer E. Kay's work include DNA Repair Mechanisms (8 papers), Carcinogens and Genotoxicity Assessment (7 papers) and CRISPR and Genetic Engineering (7 papers). Jennifer E. Kay is often cited by papers focused on DNA Repair Mechanisms (8 papers), Carcinogens and Genotoxicity Assessment (7 papers) and CRISPR and Genetic Engineering (7 papers). Jennifer E. Kay collaborates with scholars based in United States, Singapore and Denmark. Jennifer E. Kay's co-authors include Bevin P. Engelward, Leona D. Samson, Ethan S. Lippmann, Samira M. Azarin, Eric V. Shusta, R. Neßler, Abraham Al‐Ahmad, Hannah K. Wilson, Sean P. Palecek and Michael C. Jewett and has published in prestigious journals such as Nature Communications, The Journal of Cell Biology and Nature Biotechnology.

In The Last Decade

Jennifer E. Kay

21 papers receiving 1.4k citations

Hit Papers

Derivation of blood-brain barrier endothelial cells from ... 2012 2026 2016 2021 2012 2019 100 200 300 400 500

Peers

Jennifer E. Kay
Gongda Xue Switzerland
Wei Duan China
Mary Beth Hilton United States
Anna Pepe Italy
Shaun Martin Belgium
Gongda Xue Switzerland
Jennifer E. Kay
Citations per year, relative to Jennifer E. Kay Jennifer E. Kay (= 1×) peers Gongda Xue

Countries citing papers authored by Jennifer E. Kay

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer E. Kay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer E. Kay

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer E. Kay. A scholar is included among the top collaborators of Jennifer E. Kay 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 Jennifer E. Kay. Jennifer E. Kay 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.
Kay, Jennifer E., Julia Green Brody, Megan R. Schwarzman, & Ruthann A. Rudel. (2024). Application of the Key Characteristics Framework to Identify Potential Breast Carcinogens Using Publicly Available in Vivo , in Vitro , and in Silico Data. Environmental Health Perspectives. 132(1). 17002–17002. 10 indexed citations
2.
Armijo, Amanda L., Bogdan I. Fedeles, Jennifer E. Kay, et al.. (2023). Molecular origins of mutational spectra produced by the environmental carcinogen N-nitrosodimethylamine and SN1 chemotherapeutic agents. NAR Cancer. 5(2). zcad015–zcad015. 9 indexed citations
3.
Kay, Jennifer E., Ruthann A. Rudel, Laura N. Vandenberg, et al.. (2022). Chemical Effects on Breast Development, Function, and Cancer Risk: Existing Knowledge and New Opportunities. Current Environmental Health Reports. 9(4). 535–562. 20 indexed citations
4.
Kay, Jennifer E., et al.. (2022). Transgenic mice harboring direct repeat substrates reveal key underlying causes of homologous recombination in vivo. DNA repair. 120. 103419–103419. 1 indexed citations
5.
Fenton, Suzanne E., et al.. (2022). Best practices to quantify the impact of reproductive toxicants on development, function, and diseases of the rodent mammary gland. Reproductive Toxicology. 112. 51–67. 12 indexed citations
6.
Owiti, Norah A., et al.. (2022). Novel In Vivo CometChip Reveals NDMA-Induced DNA Damage and Repair in Multiple Mouse Tissues. International Journal of Molecular Sciences. 23(19). 11776–11776. 4 indexed citations
7.
Ge, Jing, Jennifer E. Kay, Patrizia Mazzucato, et al.. (2021). CometChip enables parallel analysis of multiple DNA repair activities. DNA repair. 106. 103176–103176. 9 indexed citations
8.
Kay, Jennifer E., Joshua J. Corrigan, Amanda L. Armijo, et al.. (2021). Excision of mutagenic replication-blocking lesions suppresses cancer but promotes cytotoxicity and lethality in nitrosamine-exposed mice. Cell Reports. 34(11). 108864–108864. 21 indexed citations
9.
Kay, Jennifer E., Sheyla Mirabal, William E. Briley, et al.. (2020). Analysis of mutations in tumor and normal adjacent tissue via fluorescence detection. Environmental and Molecular Mutagenesis. 62(2). 108–123. 3 indexed citations
10.
Kay, Jennifer E. & Michael C. Jewett. (2019). A cell-free system for production of 2,3-butanediol is robust to growth-toxic compounds. Metabolic Engineering Communications. 10. e00114–e00114. 28 indexed citations
11.
Kay, Jennifer E., et al.. (2019). Inflammation-induced DNA damage, mutations and cancer. DNA repair. 83. 102673–102673. 313 indexed citations breakdown →
12.
Soye, Benjamin J. Des, Jennifer E. Kay, Roderick G. Davis, et al.. (2018). Cell-free protein synthesis from genomically recoded bacteria enables multisite incorporation of noncanonical amino acids. Nature Communications. 9(1). 1203–1203. 157 indexed citations
13.
Wadduwage, Dushan N., Jennifer E. Kay, Vijay Raj Singh, et al.. (2018). Automated fluorescence intensity and gradient analysis enables detection of rare fluorescent mutant cells deep within the tissue of RaDR mice. Scientific Reports. 8(1). 12108–12108. 6 indexed citations
14.
Király, Orsolya, Jennifer E. Kay, Elizabeth A. Rowland, et al.. (2016). Rosa26-GFP Direct Repeat (RaDR-GFP) Mice Reveal Tissue- and Age-Dependence of Homologous Recombination in Mammals <i>In Vivo</i>. Figshare. 31 indexed citations
15.
Kay, Jennifer E. & Michael C. Jewett. (2015). Lysate of engineered Escherichia coli supports high-level conversion of glucose to 2,3-butanediol. Metabolic Engineering. 32. 133–142. 85 indexed citations
16.
Király, Orsolya, Jennifer E. Kay, Elizabeth A. Rowland, et al.. (2014). Rosa26-GFP Direct Repeat (RaDR-GFP) Mice Reveal Tissue- and Age-Dependence of Homologous Recombination in Mammals In Vivo. PLoS Genetics. 10(6). e1004299–e1004299. 1 indexed citations
17.
Lippmann, Ethan S., Samira M. Azarin, Jennifer E. Kay, et al.. (2012). Derivation of blood-brain barrier endothelial cells from human pluripotent stem cells. Nature Biotechnology. 30(8). 783–791. 563 indexed citations breakdown →
18.
Meyer, Aaron S., Shannon K. Hughes, Jennifer E. Kay, et al.. (2012). 2D protrusion but not motility predicts growth factor–induced cancer cell migration in 3D collagen. The Journal of Cell Biology. 197(6). 721–729. 80 indexed citations
19.
Rothstein, Sam N., Jennifer E. Kay, Francisco J. Schöpfer, Bruce Α. Freeman, & Steven R. Little. (2012). A Retrospective Mathematical Analysis of Controlled Release Design and Experimentation. Molecular Pharmaceutics. 9(11). 3003–3011. 10 indexed citations
20.
Pennington, Mark, et al.. (1997). Bindings of mutant HIV-I proteases with junction B peptides containing methyleneamino isostere replacements. Protein and Peptide Letters. 4. 225–235. 2 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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