Laura Schaevitz

2.1k total citations
26 papers, 1.1k citations indexed

About

Laura Schaevitz is a scholar working on Molecular Biology, Genetics and Cognitive Neuroscience. According to data from OpenAlex, Laura Schaevitz has authored 26 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Genetics and 8 papers in Cognitive Neuroscience. Recurrent topics in Laura Schaevitz's work include Genetics and Neurodevelopmental Disorders (9 papers), Autism Spectrum Disorder Research (7 papers) and Neuroscience and Neuropharmacology Research (3 papers). Laura Schaevitz is often cited by papers focused on Genetics and Neurodevelopmental Disorders (9 papers), Autism Spectrum Disorder Research (7 papers) and Neuroscience and Neuropharmacology Research (3 papers). Laura Schaevitz collaborates with scholars based in United States, Italy and United Kingdom. Laura Schaevitz's co-authors include Joanne Berger-Sweeney, Bin Chen, Susan K. McConnell, Nupur Nag, Heather Bowling, Nancy A. Stearns, Ute Berger, Laura Ricceri, Nicolás Gómez and Maria Lim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Journal of Neuroscience.

In The Last Decade

Laura Schaevitz

26 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laura Schaevitz United States 17 541 506 387 258 205 26 1.1k
Kaijie Ma United States 17 570 1.1× 516 1.0× 476 1.2× 293 1.1× 119 0.6× 21 1.2k
James H. Millonig United States 21 1.1k 2.0× 776 1.5× 603 1.6× 414 1.6× 241 1.2× 40 1.7k
Marc P. Forrest United States 17 676 1.2× 465 0.9× 186 0.5× 288 1.1× 98 0.5× 28 1.1k
Constance Smith‐Hicks United States 15 555 1.0× 411 0.8× 275 0.7× 413 1.6× 102 0.5× 31 1.1k
Brady J. Maher United States 21 925 1.7× 582 1.2× 292 0.8× 447 1.7× 191 0.9× 43 1.6k
Jin Nakatani Japan 12 521 1.0× 509 1.0× 334 0.9× 186 0.7× 95 0.5× 24 1.0k
Fu‐Chin Liu Taiwan 18 591 1.1× 209 0.4× 158 0.4× 326 1.3× 143 0.7× 33 1.0k
Shane McCarthy United States 9 1.0k 1.9× 458 0.9× 225 0.6× 324 1.3× 155 0.8× 16 1.5k
Pinar Ayata United States 9 1.2k 2.3× 515 1.0× 157 0.4× 189 0.7× 147 0.7× 11 1.8k
Virpi Leppä United States 9 645 1.2× 542 1.1× 421 1.1× 88 0.3× 47 0.2× 11 1.1k

Countries citing papers authored by Laura Schaevitz

Since Specialization
Citations

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

Fields of papers citing papers by Laura Schaevitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Schaevitz

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Schaevitz. A scholar is included among the top collaborators of Laura Schaevitz 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 Laura Schaevitz. Laura Schaevitz 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.
Baran, Szczepan W., Natalie A. Bratcher, Stefano Gaburro, et al.. (2022). Emerging Role of Translational Digital Biomarkers Within Home Cage Monitoring Technologies in Preclinical Drug Discovery and Development. Frontiers in Behavioral Neuroscience. 15. 758274–758274. 26 indexed citations
2.
Baran, Szczepan W., Ayan Das Gupta, Maria Lim, et al.. (2020). Continuous, Automated Breathing Rate and Body Motion Monitoring of Rats With Paraquat-Induced Progressive Lung Injury. Frontiers in Physiology. 11. 569001–569001. 7 indexed citations
3.
Defensor, Erwin B., et al.. (2020). Automated and Continuous Monitoring of Animal Welfare through Digital Alerting. Comparative Medicine. 70(4). 313–327. 12 indexed citations
4.
Peng, Qinghai, Ahmed Shoieb, Ingrid D. Pardo, et al.. (2019). Circulating microRNA and automated motion analysis as novel methods of assessing chemotherapy-induced peripheral neuropathy in mice. PLoS ONE. 14(1). e0210995–e0210995. 23 indexed citations
5.
Defensor, Erwin B., et al.. (2019). Nonclinical endpoint assessment utilizing a digital vivarium cloud platform in an ovarian cancer xenograft model.. Journal of Clinical Oncology. 37(15_suppl). e14690–e14690. 1 indexed citations
6.
Schaevitz, Laura, Maria Lim, & Erwin B. Defensor. (2017). Novel approaches to assess therapeutic efficacy in the MRL/lpr model of lupus. The Journal of Immunology. 198(Supplement_1). 213.12–213.12. 1 indexed citations
7.
8.
Ito, Shinya, Laura Schaevitz, Jena Yamada, et al.. (2016). Corticothalamic Axons Are Essential for Retinal Ganglion Cell Axon Targeting to the Mouse Dorsal Lateral Geniculate Nucleus. Journal of Neuroscience. 36(19). 5252–5263. 34 indexed citations
9.
Ivshina, Maria, Weifeng Gu, Laura Schaevitz, et al.. (2016). Gld2-catalyzed 3′ monoadenylation of miRNAs in the hippocampus has no detectable effect on their stability or on animal behavior. RNA. 22(10). 1492–1499. 29 indexed citations
10.
Schaevitz, Laura, Joanne Berger-Sweeney, & Laura Ricceri. (2014). One-carbon metabolism in neurodevelopmental disorders: Using broad-based nutraceutics to treat cognitive deficits in complex spectrum disorders. Neuroscience & Biobehavioral Reviews. 46. 270–284. 37 indexed citations
11.
Schaevitz, Laura, et al.. (2014). Respiratory phenotypes are distinctly affected in mice with common Rett syndrome mutations MeCP2 T158A and R168X. Neuroscience. 267. 166–176. 30 indexed citations
12.
Schaevitz, Laura, et al.. (2013). MeCP2 R168X male and female mutant mice exhibit Rett‐like behavioral deficits. Genes Brain & Behavior. 12(7). 732–740. 39 indexed citations
13.
Schaevitz, Laura, et al.. (2012). Acetyl-L-Carnitine Improves Behavior and Dendritic Morphology in a Mouse Model of Rett Syndrome. PLoS ONE. 7(12). e51586–e51586. 26 indexed citations
14.
Schaevitz, Laura & Joanne Berger-Sweeney. (2012). Gene-Environment Interactions and Epigenetic Pathways in Autism: The Importance of One-Carbon Metabolism. ILAR Journal. 53(3-4). 322–340. 46 indexed citations
15.
16.
Schaevitz, Laura, et al.. (2010). Cognitive and social functions and growth factors in a mouse model of Rett syndrome. Physiology & Behavior. 100(3). 255–263. 53 indexed citations
17.
Han, Liqun, Jonathan Picker, Laura Schaevitz, et al.. (2009). Phenotypic characterization of mice heterozygous for a null mutation of glutamate carboxypeptidase II. Synapse. 63(8). 625–635. 22 indexed citations
18.
Stearns, Nancy A., Laura Schaevitz, Heather Bowling, et al.. (2007). Behavioral and anatomical abnormalities in Mecp2 mutant mice: A model for Rett syndrome. Neuroscience. 146(3). 907–921. 162 indexed citations
19.
Schaevitz, Laura, et al.. (2005). Neurogenesis of the cholinergic medial septum in female and male C57BL/6J mice. Journal of Neurobiology. 65(3). 294–303. 8 indexed citations
20.
Chen, Bin, Laura Schaevitz, & Susan K. McConnell. (2005). Fezl regulates the differentiation and axon targeting of layer 5 subcortical projection neurons in cerebral cortex. Proceedings of the National Academy of Sciences. 102(47). 17184–17189. 275 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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