Jennifer E. Kay
- Molecular Biology top 10%
- Neurology top 2%
- Biomedical Engineering top 10%
- Oncology top 10%
- Cancer Research
- Co-authors
- Bevin P. EngelwardLeona D. SamsonEthan S. LippmannSamira M. AzarinEric V. ShustaR. NeßlerAbraham Al‐AhmadHannah K. Wilson
- Topics
- DNA Repair Mechanisms (8 papers)Carcinogens and Genotoxicity Assessment (7 papers)CRISPR and Genetic Engineering (7 papers)
- Partner nations
- United StatesSingaporeDenmark
In The Last Decade
Jennifer E. Kay
21 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Molecular Biology 743
- Neurology 308
- Biomedical Engineering 284
- Oncology 257
- Cancer Research 124
Countries citing papers authored by Jennifer E. Kay
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 9 | |
| 3 | 20 | |
| 4 | 1 | |
| 5 | 12 | |
| 6 | 4 | |
| 7 | 9 | |
| 8 | 21 | |
| 9 | 3 | |
| 10 | 28 | |
| 11 | Inflammation-induced DNA damage, mutations and cancerbreakdown → | 313 |
| 12 | 157 | |
| 13 | 6 | |
| 14 | 31 | |
| 15 | 85 | |
| 16 | 1 | |
| 17 | Derivation of blood-brain barrier endothelial cells from human pluripotent stem cellsbreakdown → | 563 |
| 18 | 80 | |
| 19 | 10 | |
| 20 | Bindings of mutant HIV-I proteases with junction B peptides containing methyleneamino isostere replacements | 2 |
About Jennifer E. Kay
Jennifer E. Kay is a scholar working on Cancer Research, Health, Toxicology and Mutagenesis and Developmental Neuroscience, having authored 21 papers that have together received 1.4k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (8 papers), Carcinogens and Genotoxicity Assessment (7 papers) and CRISPR and Genetic Engineering (7 papers). The work is most often cited by research in Neurology (308 citations), Developmental Neuroscience (45 citations) and Molecular Biology (743 citations). Jennifer E. Kay has collaborated with scholars based in United States, Singapore and Denmark. Frequent 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. Their work appears in journals such as Nature Communications, The Journal of Cell Biology and Nature Biotechnology.
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.