Jennifer Schleit

1.8k total citations
11 papers, 309 citations indexed

About

Jennifer Schleit is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Jennifer Schleit has authored 11 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Physiology. Recurrent topics in Jennifer Schleit's work include Genetics, Aging, and Longevity in Model Organisms (3 papers), Genomics and Rare Diseases (2 papers) and RNA and protein synthesis mechanisms (2 papers). Jennifer Schleit is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (3 papers), Genomics and Rare Diseases (2 papers) and RNA and protein synthesis mechanisms (2 papers). Jennifer Schleit collaborates with scholars based in United States, Germany and Australia. Jennifer Schleit's co-authors include Matt Kaeberlein, Christopher J. Murakami, Marion Schmidt, Joe R. Delaney, Scott Tsuchiyama, Daniel Carr, Brett Robison, Krisztina Tar, Brian K. Kennedy and Mitsuhiro Tsuchiya and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and FEBS Letters.

In The Last Decade

Jennifer Schleit

11 papers receiving 306 citations

Peers

Jennifer Schleit
Corinne L. Pender United States
Marco Lezzerini Netherlands
Anna P. Petrashen United States
Kai Chang United States
Qun Lu China
Gizem Rizki United States
Marcel Tiebe Germany
Karl A. Zawadzki United States
Corinne L. Pender United States
Jennifer Schleit
Citations per year, relative to Jennifer Schleit Jennifer Schleit (= 1×) peers Corinne L. Pender

Countries citing papers authored by Jennifer Schleit

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Schleit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Schleit

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

All Works

11 of 11 papers shown
1.
Gaudreault, Nathalie, Cyndi Henry, Jennifer Schleit, et al.. (2023). Novel filamin C (FLNC) variant causes a severe form of familial mixed hypertrophic‐restrictive cardiomyopathy. American Journal of Medical Genetics Part A. 191(6). 1508–1517. 7 indexed citations
2.
Mendelsohn, Bryce A., Klaus Mayer, Amit Malhotra, et al.. (2020). Diphthamide-deficiency syndrome: a novel human developmental disorder and ribosomopathy. European Journal of Human Genetics. 28(11). 1497–1508. 21 indexed citations
3.
Kämpjärvi, Kati, Miika Mehine, Johanna Känsäkoski, et al.. (2019). A whole exome sequencing-based panel assay with boosted clinical content generates a high diagnostic yield in patients with inherited eye diseases. Investigative Ophthalmology & Visual Science. 60(9). 421–421. 1 indexed citations
4.
Latimer, Caitlin S., et al.. (2018). Neutral lipid storage disease with myopathy: Further phenotypic characterization of a rare PNPLA2 variant. Neuromuscular Disorders. 28(7). 606–609. 9 indexed citations
5.
Zhang, Jiaming, Jennifer Schleit, Davor Lessel, et al.. (2018). CTC1 mutations in a Brazilian family with progeroid features and recurrent bone fractures. Molecular Genetics & Genomic Medicine. 6(6). 1148–1156. 18 indexed citations
6.
Andeen, Nicole K., Jennifer Schleit, Christopher D. Blosser, et al.. (2017). LMX1B-Associated Nephropathy With Type III Collagen Deposition in the Glomerular and Tubular Basement Membranes. American Journal of Kidney Diseases. 72(2). 296–301. 10 indexed citations
7.
Schleit, Jennifer, S.S. Bailey, Thao Tran, et al.. (2015). Molecular Outcome, Prediction, and Clinical Consequences of Splice Variants inCOL1A1, Which Encodes the proα1(I) Chains of Type I Procollagen. Human Mutation. 36(7). 728–739. 21 indexed citations
8.
Schleit, Jennifer, Brian M. Wasko, & Matt Kaeberlein. (2012). Yeast as a model to understand the interaction between genotype and the response to calorie restriction. FEBS Letters. 586(18). 2868–2873. 21 indexed citations
9.
10.
Robison, Brett, Thomas Dange, Joe R. Delaney, et al.. (2011). Elevated Proteasome Capacity Extends Replicative Lifespan in Saccharomyces cerevisiae. PLoS Genetics. 7(9). e1002253–e1002253. 184 indexed citations
11.
Schleit, Jennifer, et al.. (2010). Analysis of nucleic acid binding by a recombinant translin–trax complex. Biochemical and Biophysical Research Communications. 396(3). 709–713. 9 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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