Jonathan P. Staley

5.0k total citations · 1 hit paper
39 papers, 3.8k citations indexed

About

Jonathan P. Staley is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Jonathan P. Staley has authored 39 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Immunology. Recurrent topics in Jonathan P. Staley's work include RNA Research and Splicing (32 papers), RNA and protein synthesis mechanisms (30 papers) and RNA modifications and cancer (27 papers). Jonathan P. Staley is often cited by papers focused on RNA Research and Splicing (32 papers), RNA and protein synthesis mechanisms (30 papers) and RNA modifications and cancer (27 papers). Jonathan P. Staley collaborates with scholars based in United States, Canada and Japan. Jonathan P. Staley's co-authors include Christine Guthrie, Peter S. Kim, Daniel R. Semlow, Joseph A. Piccirilli, Prakash Koodathingal, Eliza C. Small, Hiroshi Maita, John L. Woolford, Angela K. Hilliker and Sebastian M. Fica and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Jonathan P. Staley

39 papers receiving 3.7k citations

Hit Papers

Mechanical Devices of the Spliceosome: Motors, Clocks, Sp... 1998 2026 2007 2016 1998 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan P. Staley United States 29 3.6k 195 119 119 113 39 3.8k
Anna Niedźwiecka Poland 18 1.8k 0.5× 162 0.8× 182 1.5× 61 0.5× 109 1.0× 47 2.0k
Reinhard Lührmann Germany 35 4.0k 1.1× 201 1.0× 201 1.7× 96 0.8× 97 0.9× 65 4.3k
Séverine Boulon France 17 2.0k 0.6× 111 0.6× 156 1.3× 90 0.8× 267 2.4× 21 2.3k
Jingdong Cheng Germany 28 2.8k 0.8× 222 1.1× 247 2.1× 61 0.5× 182 1.6× 50 3.3k
Céline Verheggen France 24 2.3k 0.6× 80 0.4× 116 1.0× 93 0.8× 128 1.1× 36 2.4k
Fabien Bonneau Germany 24 1.9k 0.5× 62 0.3× 96 0.8× 54 0.5× 136 1.2× 37 2.2k
Denise Muhlrad United States 25 3.7k 1.0× 61 0.3× 142 1.2× 54 0.5× 282 2.5× 26 3.9k
Andrew J. Newman United Kingdom 31 3.2k 0.9× 58 0.3× 190 1.6× 90 0.8× 77 0.7× 48 3.4k
Marc Mirande France 33 3.0k 0.8× 209 1.1× 355 3.0× 178 1.5× 62 0.5× 73 3.2k
Elisabeth Petfalski United Kingdom 26 4.3k 1.2× 95 0.5× 178 1.5× 50 0.4× 103 0.9× 30 4.5k

Countries citing papers authored by Jonathan P. Staley

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan P. Staley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan P. Staley. 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 Jonathan P. Staley. The network helps show where Jonathan P. Staley may publish in the future.

Co-authorship network of co-authors of Jonathan P. Staley

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan P. Staley. A scholar is included among the top collaborators of Jonathan P. Staley 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 Jonathan P. Staley. Jonathan P. Staley 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.
Clark, Nathaniel E., Chaorui Duan, Allison J. Taggart, et al.. (2024). The debranching enzyme Dbr1 regulates lariat turnover and intron splicing. Nature Communications. 15(1). 4617–4617. 8 indexed citations
2.
Fair, Benjamin, Junxing Zhao, Austin M. Reilly, et al.. (2024). Global impact of unproductive splicing on human gene expression. Nature Genetics. 56(9). 1851–1861. 23 indexed citations
3.
Zeng, Yi, et al.. (2022). Profiling lariat intermediates reveals genetic determinants of early and late co-transcriptional splicing. Molecular Cell. 82(24). 4681–4699.e8. 33 indexed citations
4.
Toroney, Rebecca, Klaus Nielsen, & Jonathan P. Staley. (2019). Termination of pre-mRNA splicing requires that the ATPase and RNA unwindase Prp43p acts on the catalytic snRNA U6. Genes & Development. 33(21-22). 1555–1574. 23 indexed citations
5.
Staley, Jonathan P., et al.. (2017). Structure of the DEAH/RHA ATPase Prp43p bound to RNA implicates a pair of hairpins and motif Va in translocation along RNA. RNA. 23(7). 1110–1124. 37 indexed citations
6.
Semlow, Daniel R., Mario R. Blanco, Nils G. Walter, & Jonathan P. Staley. (2016). Spliceosomal DEAH-Box ATPases Remodel Pre-mRNA to Activate Alternative Splice Sites. Cell. 164(5). 985–998. 120 indexed citations
7.
Qin, Daoming, et al.. (2015). Sequencing of lariat termini in S. cerevisiae reveals 5′ splice sites, branch points, and novel splicing events. RNA. 22(2). 237–253. 28 indexed citations
8.
Fica, Sebastian M., et al.. (2014). Evidence for a group II intron–like catalytic triplex in the spliceosome. Nature Structural & Molecular Biology. 21(5). 464–471. 85 indexed citations
9.
Kannan, Ram, et al.. (2013). Intronic sequence elements impede exon ligation and trigger a discard pathway that yields functional telomerase RNA in fission yeast. Genes & Development. 27(6). 627–638. 21 indexed citations
10.
Guisbert, Karen S. Kim, Yong Zhang, Jared Flatow, et al.. (2012). Meiosis-induced alterations in transcript architecture and noncoding RNA expression in S. cerevisiae. RNA. 18(6). 1142–1153. 19 indexed citations
11.
Koodathingal, Prakash, Thaddeus J. Novak, Joseph A. Piccirilli, & Jonathan P. Staley. (2010). The DEAH Box ATPases Prp16 and Prp43 Cooperate to Proofread 5′ Splice Site Cleavage during Pre-mRNA Splicing. Molecular Cell. 39(3). 385–395. 99 indexed citations
12.
Staley, Jonathan P., et al.. (2009). Evidence that U2/U6 helix I promotes both catalytic steps of pre-mRNA splicing and rearranges in between these steps. RNA. 15(7). 1386–1397. 64 indexed citations
13.
Zhao, Chen, Deepti L. Bellur, Shasha Lu, et al.. (2009). Autosomal-Dominant Retinitis Pigmentosa Caused by a Mutation in SNRNP200, a Gene Required for Unwinding of U4/U6 snRNAs. The American Journal of Human Genetics. 85(5). 617–627. 115 indexed citations
14.
Bellare, Priya, Eliza C. Small, Xinhua Huang, et al.. (2008). A role for ubiquitin in the spliceosome assembly pathway. Nature Structural & Molecular Biology. 15(5). 444–451. 96 indexed citations
15.
Hilliker, Angela K., et al.. (2007). U2 toggles iteratively between the stem IIa and stem IIc conformations to promote pre-mRNA splicing. Genes & Development. 21(7). 821–834. 89 indexed citations
16.
Maita, Hiroshi, et al.. (2006). Exon ligation is proofread by the DExD/H-box ATPase Prp22p. Nature Structural & Molecular Biology. 13(6). 482–490. 133 indexed citations
17.
18.
Staley, Jonathan P. & Christine Guthrie. (1999). An RNA Switch at the 5′ Splice Site Requires ATP and the DEAD Box Protein Prp28p. Molecular Cell. 3(1). 55–64. 267 indexed citations
19.
Staley, Jonathan P. & Christine Guthrie. (1998). Mechanical Devices of the Spliceosome: Motors, Clocks, Springs, and Things. Cell. 92(3). 315–326. 902 indexed citations breakdown →
20.
Staley, Jonathan P. & Peter S. Kim. (1990). Role of a subdomain in the folding of bovine pancreatic trypsin inhibitor. Nature. 344(6267). 685–688. 87 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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