Karen Sperle

2.1k total citations
25 papers, 1.7k citations indexed

About

Karen Sperle is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, Karen Sperle has authored 25 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 6 papers in Epidemiology and 6 papers in Genetics. Recurrent topics in Karen Sperle's work include RNA regulation and disease (8 papers), CRISPR and Genetic Engineering (8 papers) and DNA Repair Mechanisms (6 papers). Karen Sperle is often cited by papers focused on RNA regulation and disease (8 papers), CRISPR and Genetic Engineering (8 papers) and DNA Repair Mechanisms (6 papers). Karen Sperle collaborates with scholars based in United States, Czechia and United Kingdom. Karen Sperle's co-authors include Nat Sternberg, Fwu‐Lai Lin, Brian L. Largent, Walter A. Kostich, Airu Chen, Grace M. Hobson, James Garbern, Zhong Huang, Franca Cambi and James R. Lupski and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Molecular and Cellular Biology.

In The Last Decade

Karen Sperle

25 papers receiving 1.6k citations

Peers

Karen Sperle
F. Pothier Canada
Ernesto Guzmán United States
Donald B. Sittman United States
Neal C. Birnberg United States
Anthony D’Ippolito United States
Paul Yang United States
Kathryn Bobb United States
F. Pothier Canada
Karen Sperle
Citations per year, relative to Karen Sperle Karen Sperle (= 1×) peers F. Pothier

Countries citing papers authored by Karen Sperle

Since Specialization
Citations

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

Fields of papers citing papers by Karen Sperle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karen Sperle

This figure shows the co-authorship network connecting the top 25 collaborators of Karen Sperle. A scholar is included among the top collaborators of Karen Sperle 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 Karen Sperle. Karen Sperle 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.
Sperle, Karen, Darrin J. Pochan, & Sigrid A. Langhans. (2023). 3D Hydrogel Cultures for High-Throughput Drug Discovery. Methods in molecular biology. 2614. 369–381. 2 indexed citations
2.
Bahrambeigi, Vahid, Xiaofei Song, Karen Sperle, et al.. (2019). Distinct patterns of complex rearrangements and a mutational signature of microhomeology are frequently observed in PLP1 copy number gain structural variants. Genome Medicine. 11(1). 80–80. 20 indexed citations
3.
Sperle, Karen, et al.. (2018). Morpholino Antisense Oligomers as a Potential Therapeutic Option for the Correction of Alternative Splicing in PMD, SPG2, and HEMS. Molecular Therapy — Nucleic Acids. 12. 420–432. 15 indexed citations
4.
Beck, Christine R., Claudia M.B. Carvalho, Tomasz Gambin, et al.. (2015). Complex Genomic Rearrangements at the PLP1 Locus Include Triplication and Quadruplication. PLoS Genetics. 11(3). e1005050–e1005050. 40 indexed citations
5.
Sperle, Karen, et al.. (2014). PMD patient mutations reveal a long-distance intronic interaction that regulates PLP1/DM20 alternative splicing. Human Molecular Genetics. 23(20). 5464–5478. 27 indexed citations
6.
Clark, Kimberly, Karen Sperle, Carlisle P. Landel, et al.. (2013). Gait Abnormalities and Progressive Myelin Degeneration in a New Murine Model of Pelizaeus-Merzbacher Disease with Tandem Genomic Duplication. Journal of Neuroscience. 33(29). 11788–11799. 20 indexed citations
7.
Wang, Erming, Neviana Dimova, Karen Sperle, et al.. (2008). Deletion of a splicing enhancer disrupts PLP1/DM20 ratio and myelin stability. Experimental Neurology. 214(2). 322–330. 26 indexed citations
8.
Wang, Erming, Zhong Huang, Grace M. Hobson, et al.. (2005). PLP1 alternative splicing in differentiating oligodendrocytes: Characterization of an exonic splicing enhancer. Journal of Cellular Biochemistry. 97(5). 999–1016. 18 indexed citations
9.
Woodward, Karen, Maria Cundall, Karen Sperle, et al.. (2005). Heterogeneous Duplications in Patients with Pelizaeus-Merzbacher Disease Suggest a Mechanism of Coupled Homologous and Nonhomologous Recombination. The American Journal of Human Genetics. 77(6). 966–987. 81 indexed citations
10.
Hobson, Grace M., Zhong Huang, Karen Sperle, et al.. (2005). Splice-site contribution in alternative splicing ofPLP1 andDM20: molecular studies in oligodendrocytes. Human Mutation. 27(1). 69–77. 24 indexed citations
11.
Lee, Jennifer A., R. E. Madrid, Karen Sperle, et al.. (2005). Spastic paraplegia type 2 associated with axonal neuropathy and apparent PLP1 position effect. Annals of Neurology. 59(2). 398–403. 64 indexed citations
12.
Shy, Michael E., Grace M. Hobson, Odile Boespflug‐Tanguy, et al.. (2003). Schwann cell expression of PLP1 but not DM20 is necessary to prevent neuropathy. Annals of Neurology. 53(3). 354–365. 50 indexed citations
13.
Hobson, Grace M., Zhong Huang, Karen Sperle, et al.. (2002). A PLP splicing abnormality is associated with an unusual presentation of PMD. Annals of Neurology. 52(4). 477–488. 44 indexed citations
14.
Horlick, Robert A., et al.. (1997). Rapid Generation of Stable Cell Lines Expressing Corticotropin-Releasing Hormone Receptor for Drug Discovery. Protein Expression and Purification. 9(3). 301–308. 16 indexed citations
15.
Sperle, Karen, et al.. (1990). Intermolecular Recombination between DNAs Introduced into Mouse L Cells Is Mediated by a Nonconservative Pathway That Leads to Crossover Products. Molecular and Cellular Biology. 10(1). 103–112. 22 indexed citations
16.
Sperle, Karen, et al.. (1990). Repair of Double-Stranded DNA Breaks by Homologous DNA Fragments during Transfer of DNA into Mouse L Cells. Molecular and Cellular Biology. 10(1). 113–119. 8 indexed citations
17.
Sperle, Karen, et al.. (1987). Extrachromosomal Recombination in Mammalian Cells as Studied with Single- and Double-Stranded DNA Substrates. Molecular and Cellular Biology. 7(1). 129–140. 7 indexed citations
18.
Lin, Fwu‐Lai, Karen Sperle, & Nat Sternberg. (1985). Recombination in mouse L cells between DNA introduced into cells and homologous chromosomal sequences.. Proceedings of the National Academy of Sciences. 82(5). 1391–1395. 128 indexed citations
19.
Lin, Fwu‐Lai, Karen Sperle, & Nat Sternberg. (1984). Homologous Recombination in Mouse L Cells. Cold Spring Harbor Symposia on Quantitative Biology. 49(0). 139–149. 24 indexed citations
20.
Lin, Fwu‐Lai, Karen Sperle, & Nat Sternberg. (1984). Model for Homologous Recombination During Transfer of DNA into Mouse L Cells: Role for DNA Ends in the Recombination Process. Molecular and Cellular Biology. 4(6). 1020–1034. 411 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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