Matthew Jensen

1.3k total citations
20 papers, 349 citations indexed

About

Matthew Jensen is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, Matthew Jensen has authored 20 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 8 papers in Molecular Biology and 5 papers in Plant Science. Recurrent topics in Matthew Jensen's work include Genomic variations and chromosomal abnormalities (7 papers), Genomics and Rare Diseases (5 papers) and Genetics and Neurodevelopmental Disorders (5 papers). Matthew Jensen is often cited by papers focused on Genomic variations and chromosomal abnormalities (7 papers), Genomics and Rare Diseases (5 papers) and Genetics and Neurodevelopmental Disorders (5 papers). Matthew Jensen collaborates with scholars based in United States, Australia and Uruguay. Matthew Jensen's co-authors include Santhosh Girirajan, Qingyu Wang, Karen E. Joynt, Cooduvalli S. Shashikant, Naomi Altman, Janani Iyer, Emily Huber, Lucilla Pizzo, Kenneth Finegold and Sagiv Shifman and has published in prestigious journals such as Cell, Nature Communications and Scientific Reports.

In The Last Decade

Matthew Jensen

20 papers receiving 344 citations

Peers

Matthew Jensen

GENET

Lucy Matthews United Kingdom

Katherine W. Saylor United States

Mari Nelis Estonia

Chaowei Tian China

Andrea Byrnes United States

Sven Oskarsson Netherlands

Abanish Singh United States

Ebony Bookman United States

Elisa Docampo Spain

Linda Warwick Australia

Lucy Matthews United Kingdom

Matthew Jensen

134 ×0.8

GENET

175 ×1.1

31 ×0.7

28 ×0.7

8 ×0.3

Citations per year, relative to Matthew Jensen Matthew Jensen (= 1×) peers Lucy Matthews

Countries citing papers authored by Matthew Jensen

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Jensen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Jensen

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

All Works

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20 of 20 papers shown

Pratt, Henry, Gregory Andrews, Nicole Shedd, et al.. (2024). Using a comprehensive atlas and predictive models to reveal the complexity and evolution of brain-active regulatory elements. Science Advances. 10(21). eadj4452–eadj4452. 7 indexed citations

Liu, Jason J., Susanna Liu, Yuan Gao, et al.. (2024). Digital phenotyping from wearables using AI characterizes psychiatric disorders and identifies genetic associations. Cell. 188(2). 515–529.e15. 11 indexed citations

Mhatre, Siddhita D., Janani Iyer, Juli Petereit, et al.. (2022). Artificial gravity partially protects space-induced neurological deficits in Drosophila melanogaster. Cell Reports. 40(10). 111279–111279. 12 indexed citations

Sherman, Mark E., Thomas de Bel, Michael G. Heckman, et al.. (2022). Serum hormone levels and normal breast histology among premenopausal women. Breast Cancer Research and Treatment. 194(1). 149–158. 1 indexed citations

Gong, Naihua N., Emilia H. Moscato, Milán Szuperák, et al.. (2021). The chromatin remodeler ISWI acts during Drosophila development to regulate adult sleep. Science Advances. 7(8). 9 indexed citations

Pizzo, Lucilla, Micaela Lasser, Matthew Jensen, et al.. (2021). Functional assessment of the “two-hit” model for neurodevelopmental defects in Drosophila and X. laevis. PLoS Genetics. 17(4). e1009112–e1009112. 13 indexed citations

Jensen, Matthew, et al.. (2021). Combinatorial patterns of gene expression changes contribute to variable expressivity of the developmental delay-associated 16p12.1 deletion. Genome Medicine. 13(1). 163–163. 2 indexed citations

Jensen, Matthew, et al.. (2020). Gene discoveries in autism are biased towards comorbidity with intellectual disability. Journal of Medical Genetics. 57(9). 647–652. 11 indexed citations

Jensen, Matthew, Lucilla Pizzo, Erika Gedvilaite, et al.. (2020). Drosophila models of pathogenic copy-number variant genes show global and non-neuronal defects during development. PLoS Genetics. 16(6). e1008792–e1008792. 8 indexed citations

10.

Jensen, Matthew, Micaela Lasser, Emily Huber, et al.. (2020). NCBP2 modulates neurodevelopmental defects of the 3q29 deletion in Drosophila and Xenopus laevis models. PLoS Genetics. 16(2). e1008590–e1008590. 25 indexed citations

11.

Jensen, Matthew, et al.. (2019). A machine-learning approach for accurate detection of copy number variants from exome sequencing. Genome Research. 29(7). 1134–1143. 25 indexed citations

12.

Horton, W. J., Matthew Jensen, Aswathy Sebastian, et al.. (2019). Transcriptome Analyses of Heart and Liver Reveal Novel Pathways for Regulating Songbird Migration. Scientific Reports. 9(1). 6058–6058. 19 indexed citations

13.

Jensen, Matthew & Santhosh Girirajan. (2019). An interaction-based model for neuropsychiatric features of copy-number variants. PLoS Genetics. 15(1). e1007879–e1007879. 26 indexed citations

14.

Jensen, Matthew, Hajar Amini, Farhad Hormozdiari, et al.. (2019). Dissecting the genetic basis of comorbid epilepsy phenotypes in neurodevelopmental disorders. Genome Medicine. 11(1). 65–65. 33 indexed citations

15.

Iyer, Janani, Matthew Jensen, Payal T. Patel, et al.. (2018). Pervasive genetic interactions modulate neurodevelopmental defects of the autism-associated 16p11.2 deletion in Drosophila melanogaster. Nature Communications. 9(1). 2548–2548. 40 indexed citations

16.

Jensen, Matthew, R. Frank Kooy, Tony J. Simon, et al.. (2017). A higher rare CNV burden in the genetic background potentially contributes to intellectual disability phenotypes in 22q11.2 deletion syndrome. European Journal of Medical Genetics. 61(4). 209–212. 12 indexed citations

17.

Wang, Qingyu, Cooduvalli S. Shashikant, Matthew Jensen, Naomi Altman, & Santhosh Girirajan. (2017). Novel metrics to measure coverage in whole exome sequencing datasets reveal local and global non-uniformity. Scientific Reports. 7(1). 885–885. 40 indexed citations

18.

Finegold, Kenneth, et al.. (2016). Examining Measures of Income and Poverty in Medicare Administrative Data. Medical Care. 55(12). e158–e163. 28 indexed citations

19.

Snyder, John E., et al.. (2016). Defining Rurality in Medicare Administrative Data. Medical Care. 55(12). e164–e169. 22 indexed citations

20.

Al-Shorbaji, Najeeb, Richard Duncombe, Nancy J. Hafkin, et al.. (2012). Accelerating development using the web: empowering poor and marginalized populations.. 5 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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