Matthew Levy

6.3k total citations
70 papers, 4.6k citations indexed

About

Matthew Levy is a scholar working on Molecular Biology, Astronomy and Astrophysics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Matthew Levy has authored 70 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 10 papers in Astronomy and Astrophysics and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Matthew Levy's work include Advanced biosensing and bioanalysis techniques (37 papers), RNA and protein synthesis mechanisms (24 papers) and RNA Interference and Gene Delivery (17 papers). Matthew Levy is often cited by papers focused on Advanced biosensing and bioanalysis techniques (37 papers), RNA and protein synthesis mechanisms (24 papers) and RNA Interference and Gene Delivery (17 papers). Matthew Levy collaborates with scholars based in United States, China and France. Matthew Levy's co-authors include Andrew D. Ellington, Stanley L. Miller, Amy Yan, Christina Kratschmer, Laura A. Lavery, Keith E. Maier, Edward M. Marcotte, Kevin E. Nelson, Eric A. Davidson and Eun Jeong Cho and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Matthew Levy

68 papers receiving 4.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Levy United States 32 3.8k 811 546 398 357 70 4.6k
John C. Chaput United States 36 5.0k 1.3× 985 1.2× 311 0.6× 282 0.7× 288 0.8× 132 5.4k
Anthony D. Keefe United States 25 4.3k 1.1× 761 0.9× 179 0.3× 272 0.7× 691 1.9× 41 5.0k
Sheref S. Mansy Italy 33 2.5k 0.7× 540 0.7× 1.0k 1.9× 403 1.0× 162 0.5× 77 3.6k
Rolf H. Berg Denmark 23 6.1k 1.6× 512 0.6× 174 0.3× 765 1.9× 770 2.2× 47 7.5k
Tomoaki Matsuura Japan 30 2.4k 0.6× 592 0.7× 399 0.7× 110 0.3× 78 0.2× 113 3.1k
Vincent Noireaux United States 41 6.2k 1.6× 2.0k 2.5× 418 0.8× 2.1k 5.2× 236 0.7× 102 8.6k
Michael Famulok Germany 59 9.9k 2.6× 2.1k 2.6× 126 0.2× 670 1.7× 698 2.0× 219 11.3k
Masad J. Damha Canada 46 6.1k 1.6× 411 0.5× 80 0.1× 202 0.5× 566 1.6× 207 6.7k
Philipp Holliger United Kingdom 41 6.1k 1.6× 607 0.7× 852 1.6× 195 0.5× 232 0.6× 92 7.6k
Andrés de la Escosura Spain 28 907 0.2× 533 0.7× 592 1.1× 1.3k 3.3× 623 1.7× 55 2.8k

Countries citing papers authored by Matthew Levy

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Levy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Levy

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Levy. A scholar is included among the top collaborators of Matthew Levy 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 Levy. Matthew Levy 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.
Kratschmer, Christina, et al.. (2020). AptCompare: optimized de novo motif discovery of RNA aptamers via HTS-SELEX. Bioinformatics. 36(9). 2905–2906. 15 indexed citations
2.
Levy, Matthew, et al.. (2019). Development of a Monomeric Inhibitory RNA Aptamer Specific for FGFR3 that Acts as an Activator When Dimerized. Molecular Therapy — Nucleic Acids. 17. 530–539. 15 indexed citations
3.
Kratschmer, Christina & Matthew Levy. (2017). Targeted Delivery of Auristatin-Modified Toxins to Pancreatic Cancer Using Aptamers. Molecular Therapy — Nucleic Acids. 10. 227–236. 53 indexed citations
4.
Han, Bing, Valérie Polonais, Tatsuki Sugi, et al.. (2017). The role of microsporidian polar tube protein 4 (PTP4) in host cell infection. PLoS Pathogens. 13(4). e1006341–e1006341. 68 indexed citations
5.
Mukherjee, Gayatri, Samantha E. Wilner, Keith E. Maier, et al.. (2015). Delivery of siRNAs to Dendritic Cells Using DEC205-Targeted Lipid Nanoparticles to Inhibit Immune Responses. Molecular Therapy. 24(1). 146–155. 84 indexed citations
6.
Trevino, Simon G. & Matthew Levy. (2014). High‐Throughput Bead‐Based Identification of Structure‐Switching Aptamer Beacons. ChemBioChem. 15(13). 1877–1881. 11 indexed citations
7.
Wilner, Samantha E., Keith E. Maier, David Soriano del Amo, et al.. (2012). An RNA Alternative to Human Transferrin: A New Tool for Targeting Human Cells. Molecular Therapy — Nucleic Acids. 1. e21–e21. 111 indexed citations
8.
Byrom, Michelle, Amy Yan, Na Li, et al.. (2012). A General RNA Motif for Cellular Transfection. Molecular Therapy. 20(3). 616–624. 30 indexed citations
9.
Narayanaswamy, Rammohan, Matthew Levy, Mark Tsechansky, et al.. (2009). Widespread reorganization of metabolic enzymes into reversible assemblies upon nutrient starvation. Proceedings of the National Academy of Sciences. 106(25). 10147–10152. 303 indexed citations
10.
Chen, Xi, et al.. (2009). Direct selection for ribozyme cleavage activity in cells. RNA. 15(11). 2035–2045. 18 indexed citations
11.
Tabor, Jeffrey J., Travis Bayer, Zachary Booth Simpson, Matthew Levy, & Andrew D. Ellington. (2008). Engineering stochasticity in gene expression. Molecular BioSystems. 4(7). 754–761. 27 indexed citations
12.
Levy, Matthew & Andrew D. Ellington. (2008). Directed Evolution of Streptavidin Variants Using In Vitro Compartmentalization. Chemistry & Biology. 15(9). 979–989. 23 indexed citations
13.
Chu, Ted C., John W. Marks, Laura A. Lavery, et al.. (2006). Aptamer:Toxin Conjugates that Specifically Target Prostate Tumor Cells. Cancer Research. 66(12). 5989–5992. 228 indexed citations
14.
Chu, Ted C., Felice Shieh, Laura A. Lavery, et al.. (2006). Labeling tumor cells with fluorescent nanocrystal–aptamer bioconjugates. Biosensors and Bioelectronics. 21(10). 1859–1866. 116 indexed citations
15.
Ellington, Andrew D., John W. Marks, Ted C. Chu, et al.. (2005). Targeting PSMA on tumor cells using novel aptamer-gelonin conjugates. Cancer Research. 65. 1455–1455. 1 indexed citations
16.
Levy, Matthew, et al.. (2005). Quantum‐Dot Aptamer Beacons for the Detection of Proteins. ChemBioChem. 6(12). 2163–2166. 217 indexed citations
17.
Collett, James R., et al.. (2004). Functional RNA microarrays for high-throughput screening of antiprotein aptamers. Analytical Biochemistry. 338(1). 113–123. 68 indexed citations
18.
Levy, Matthew & Andrew D. Ellington. (2003). Exponential growth by cross-catalytic cleavage of deoxyribozymogens. Proceedings of the National Academy of Sciences. 100(11). 6416–6421. 68 indexed citations
19.
Levy, Matthew & Andrew D. Ellington. (2003). Peptide-Templated Nucleic Acid Ligation. Journal of Molecular Evolution. 56(5). 607–615. 22 indexed citations
20.
Levy, Matthew & Andrew D. Ellington. (2001). Selection of deoxyribozyme ligases that catalyze the formation of an unnatural internucleotide linkage. Bioorganic & Medicinal Chemistry. 9(10). 2581–2587. 23 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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