Matthew D. Disney

15.0k total citations · 2 hit papers
193 papers, 10.6k citations indexed

About

Matthew D. Disney is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Matthew D. Disney has authored 193 papers receiving a total of 10.6k indexed citations (citations by other indexed papers that have themselves been cited), including 187 papers in Molecular Biology, 33 papers in Cellular and Molecular Neuroscience and 22 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Matthew D. Disney's work include RNA and protein synthesis mechanisms (124 papers), RNA Research and Splicing (101 papers) and RNA modifications and cancer (69 papers). Matthew D. Disney is often cited by papers focused on RNA and protein synthesis mechanisms (124 papers), RNA Research and Splicing (101 papers) and RNA modifications and cancer (69 papers). Matthew D. Disney collaborates with scholars based in United States, Switzerland and France. Matthew D. Disney's co-authors include Jessica L. Childs‐Disney, Sai Pradeep Velagapudi, Peter H. Seeberger, Douglas H. Turner, Michael Zuker, David H. Mathews, Susan J. Schroeder, Lirui Guan, Matthew G. Costales and Tuan Anh Tran and has published in prestigious journals such as Science, Chemical Reviews and Proceedings of the National Academy of Sciences.

In The Last Decade

Matthew D. Disney

188 papers receiving 10.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Incorporating chemical modification constraints into a dynamic programming algorithm for prediction of RNA secondary structure

2004 1.2k citations Matthew D. Disney, Jessica L. Childs‐Disney et al. Proceedings of the National Academy of Sciences profile →
Targeting RNA structures with small molecules

2022 331 citations Jessica L. Childs‐Disney, Xueyi Yang et al. profile →

Peers

Matthew D. Disney

CMN

GENET

David R. Corey United States

Joel P. Mackay Australia

Michael J. Gait United Kingdom

Anthony I. Magee United Kingdom

Dirk Görlich Germany

M. Cristina Cardoso Germany

Frédéric H.‐T. Allain Switzerland

David A. Zacharias United States

Aurélien Roux Switzerland

Larry Gerace United States

David R. Corey United States

Matthew D. Disney

10.2k ×1.1

2.8k ×2.6

781 ×0.7

CMN

279 ×0.3

776 ×1.1

GENET

Citations per year, relative to Matthew D. Disney Matthew D. Disney (= 1×) peers David R. Corey

Countries citing papers authored by Matthew D. Disney

Since Specialization

Citations

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

Fields of papers citing papers by Matthew D. Disney

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew D. Disney

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew D. Disney. A scholar is included among the top collaborators of Matthew D. Disney 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 D. Disney. Matthew D. Disney 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

Zanon, Patrick R. A., et al.. (2025). The evolution and application of RNA-focused small molecule libraries. PubMed Central. 6(4). 510–527. 7 indexed citations

Zhao, Cunyuan, et al.. (2025). Chemical Tagging of N -Alkylamine-Containing Natural Products and Pharmaceuticals through C( sp ³ )–H Functionalization. Journal of the American Chemical Society. 147(47). 43424–43437.

Caine, Elizabeth A., et al.. (2025). A Live-Cell NanoBRET Assay to Monitor RNA–Protein Interactions and Their Inhibition by Small Molecules. ACS Central Science. 11(11). 2154–2171.

Yang, Xueyi, et al.. (2025). Mapping small molecule–RNA binding sites via Chem-CLIP synergized with capillary electrophoresis and nanopore sequencing. Nucleic Acids Research. 53(6). 4 indexed citations

Ciceri, Gabriele, et al.. (2025). Sustained Epigenetic Reactivation in Fragile X Neurons with an RNA-Binding Small Molecule. Genes. 16(3). 278–278. 1 indexed citations

Tong, Yuquan, Patrick R. A. Zanon, Xueyi Yang, et al.. (2024). Protocol for transcriptome-wide mapping of small-molecule RNA-binding sites in live cells. STAR Protocols. 5(3). 103271–103271. 3 indexed citations

Tong, Yuquan, Peiyuan Zhang, Xueyi Yang, et al.. (2024). Decreasing the intrinsically disordered protein α-synuclein levels by targeting its structured mRNA with a ribonuclease-targeting chimera. Proceedings of the National Academy of Sciences. 121(2). e2306682120–e2306682120. 28 indexed citations

Gibaut, Quentin M. R., et al.. (2022). Study of an RNA-Focused DNA-Encoded Library Informs Design of a Degrader of a r(CUG) Repeat Expansion. Journal of the American Chemical Society. 144(48). 21972–21979. 22 indexed citations

Meyer, Samantha M., Rita Fuerst, Yuquan Tong, et al.. (2022). A blood–brain penetrant RNA-targeted small molecule triggers elimination of r(G ₄ C ₂ ) ^exp in c9ALS/FTD via the nuclear RNA exosome. Proceedings of the National Academy of Sciences. 119(48). e2210532119–e2210532119. 14 indexed citations

10.

Benhamou, Raphael I., Blessy M. Suresh, Yuquan Tong, et al.. (2022). DNA-encoded library versus RNA-encoded library selection enables design of an oncogenic noncoding RNA inhibitor. Proceedings of the National Academy of Sciences. 119(6). 41 indexed citations

11.

Andrews, Ryan J., Collin A. O’Leary, Van S. Tompkins, et al.. (2021). A map of the SARS-CoV-2 RNA structurome. NAR Genomics and Bioinformatics. 3(2). lqab043–lqab043. 44 indexed citations

12.

Zhang, Peiyuan, Hye-Jin Park, Jie Zhang, et al.. (2020). Translation of the intrinsically disordered protein α-synuclein is inhibited by a small molecule targeting its structured mRNA. Proceedings of the National Academy of Sciences. 117(3). 1457–1467. 85 indexed citations

13.

Angelbello, Alicia J., Suzanne G. Rzuczek, Kendra McKee, et al.. (2019). Precise small-molecule cleavage of an r(CUG) repeat expansion in a myotonic dystrophy mouse model. Proceedings of the National Academy of Sciences. 116(16). 7799–7804. 91 indexed citations

14.

Childs‐Disney, Jessica L., Tuan Anh Tran, Balayeshwanth R. Vummidi, et al.. (2018). A Massively Parallel Selection of Small Molecule-RNA Motif Binding Partners Informs Design of an Antiviral from Sequence. Chem. 4(10). 2384–2404. 42 indexed citations

15.

Haga, Christopher L., et al.. (2016). Rapid Generation of miRNA Inhibitor Leads by Bioinformatics and Efficient High-Throughput Screening Methods. Methods in molecular biology. 1517. 179–198. 14 indexed citations

16.

Lee, Melissa M., Jonathan M. French, & Matthew D. Disney. (2011). Influencing uptake and localization of aminoglycoside-functionalized peptoids. Molecular BioSystems. 7(8). 2441–2451. 13 indexed citations

17.

Disney, Matthew D., Melissa M. Lee, Alexei Pushechnikov, & Jessica L. Childs‐Disney. (2010). The Role of Flexibility in the Rational Design of Modularly Assembled Ligands Targeting the RNAs that Cause the Myotonic Dystrophies. ChemBioChem. 11(3). 375–382. 31 indexed citations

18.

Childs‐Disney, Jessica L. & Matthew D. Disney. (2007). A simple ligation-based method to increase the information density in sequencing reactions used to deconvolute nucleic acid selections. RNA. 14(2). 390–394. 4 indexed citations

19.

Ratner, Daniel M., Eddie W. Adams, Matthew D. Disney, & Peter H. Seeberger. (2004). Tools for Glycomics: Mapping Interactions of Carbohydrates in Biological Systems. ChemBioChem. 5(10). 1375–1383. 165 indexed citations

20.

Childs‐Disney, Jessica L., Matthew D. Disney, & Douglas H. Turner. (2002). Oligonucleotide directed misfolding of RNA inhibits Candida albicans group I intron splicing. Proceedings of the National Academy of Sciences. 99(17). 11091–11096. 52 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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