Katherine E. Savell

908 total citations
10 papers, 477 citations indexed

About

Katherine E. Savell is a scholar working on Molecular Biology, Aging and Cancer Research. According to data from OpenAlex, Katherine E. Savell has authored 10 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Aging and 2 papers in Cancer Research. Recurrent topics in Katherine E. Savell's work include CRISPR and Genetic Engineering (3 papers), Epigenetics and DNA Methylation (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). Katherine E. Savell is often cited by papers focused on CRISPR and Genetic Engineering (3 papers), Epigenetics and DNA Methylation (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). Katherine E. Savell collaborates with scholars based in United States. Katherine E. Savell's co-authors include Jeremy J. Day, Faraz Sultan, Lara Ianov, Corey G. Duke, Jennifer J. Tuscher, Robert A. Phillips, Morgan E. Zipperly, Jasmin S. Revanna, J. David Sweatt and Svitlana V. Bach and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Katherine E. Savell

9 papers receiving 474 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katherine E. Savell United States 9 364 118 113 49 43 10 477
Shuxi Liu China 8 201 0.6× 94 0.8× 132 1.2× 44 0.9× 40 0.9× 14 384
Michał Lipiński Spain 8 310 0.9× 120 1.0× 101 0.9× 20 0.4× 51 1.2× 10 402
Sarah C. Borrie Belgium 9 207 0.6× 98 0.8× 72 0.6× 19 0.4× 74 1.7× 13 378
Tracy Lane United Kingdom 11 255 0.7× 90 0.8× 177 1.6× 40 0.8× 96 2.2× 14 498
Mariela Zirlinger United States 7 310 0.9× 111 0.9× 127 1.1× 27 0.6× 46 1.1× 7 460
Kenichi Toma United States 9 244 0.7× 52 0.4× 121 1.1× 24 0.5× 37 0.9× 14 385
Ruth Kulicke United States 6 318 0.9× 45 0.4× 189 1.7× 25 0.5× 41 1.0× 9 539
Corinna Giorgi Italy 12 504 1.4× 49 0.4× 133 1.2× 100 2.0× 55 1.3× 13 629
Andreas Zembrzycki United States 9 252 0.7× 154 1.3× 148 1.3× 26 0.5× 75 1.7× 10 503
José Viosca Spain 6 282 0.8× 127 1.1× 168 1.5× 16 0.3× 92 2.1× 8 451

Countries citing papers authored by Katherine E. Savell

Since Specialization
Citations

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

Fields of papers citing papers by Katherine E. Savell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katherine E. Savell

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

All Works

10 of 10 papers shown
1.
Savell, Katherine E., et al.. (2021). Delivering progranulin to neuronal lysosomes protects against excitotoxicity. Journal of Biological Chemistry. 297(3). 100993–100993. 16 indexed citations
2.
Carullo, Nancy V. N., Robert A. Phillips, Jasmin S. Revanna, et al.. (2020). Enhancer RNAs predict enhancer–gene regulatory links and are critical for enhancer function in neuronal systems. Nucleic Acids Research. 48(17). 9550–9570. 76 indexed citations
3.
Savell, Katherine E., Jennifer J. Tuscher, Morgan E. Zipperly, et al.. (2020). A dopamine-induced gene expression signature regulates neuronal function and cocaine response. Science Advances. 6(26). eaba4221–eaba4221. 105 indexed citations
4.
Duke, Corey G., Katherine E. Savell, Jennifer J. Tuscher, Robert A. Phillips, & Jeremy J. Day. (2019). Blue Light-Induced Gene Expression Alterations in Cultured Neurons Are the Result of Phototoxic Interactions with Neuronal Culture Media. eNeuro. 7(1). ENEURO.0386–19.2019. 14 indexed citations
5.
Savell, Katherine E., Faraz Sultan, & Jeremy J. Day. (2019). A Novel Dual Lentiviral CRISPR-based Transcriptional Activation System for Gene Expression Regulation in Neurons. BIO-PROTOCOL. 9(17). e3348–e3348. 10 indexed citations
6.
Savell, Katherine E., Svitlana V. Bach, Morgan E. Zipperly, et al.. (2019). A Neuron-Optimized CRISPR/dCas9 Activation System for Robust and Specific Gene Regulation. eNeuro. 6(1). ENEURO.0495–18.2019. 97 indexed citations
7.
Savell, Katherine E., et al.. (2019). Enhancer Rna's In Brain Function and Disease. European Neuropsychopharmacology. 29. S773–S774.
8.
Savell, Katherine E. & Jeremy J. Day. (2017). Applications of CRISPR/Cas9 in the Mammalian Central Nervous System.. PubMed. 90(4). 567–581. 28 indexed citations
9.
Savell, Katherine E., Jordan A. Brown, Jasmin S. Revanna, et al.. (2016). Extra-coding RNAs regulate neuronal DNA methylation dynamics. Nature Communications. 7(1). 12091–12091. 39 indexed citations
10.
Kennedy, Andrew, Elizabeth J. Rahn, Katherine E. Savell, et al.. (2016). Tcf4 Regulates Synaptic Plasticity, DNA Methylation, and Memory Function. Cell Reports. 16(10). 2666–2685. 92 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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