Jonathan Houseley

5.3k total citations · 3 hit papers
43 papers, 3.9k citations indexed

About

Jonathan Houseley is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Jonathan Houseley has authored 43 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 8 papers in Plant Science and 4 papers in Genetics. Recurrent topics in Jonathan Houseley's work include RNA Research and Splicing (14 papers), CRISPR and Genetic Engineering (13 papers) and RNA and protein synthesis mechanisms (12 papers). Jonathan Houseley is often cited by papers focused on RNA Research and Splicing (14 papers), CRISPR and Genetic Engineering (13 papers) and RNA and protein synthesis mechanisms (12 papers). Jonathan Houseley collaborates with scholars based in United Kingdom, United States and Spain. Jonathan Houseley's co-authors include David Tollervey, John LaCava, Elisabeth Petfalski, Elizabeth L. Thompson, Alain Jacquier, Cosmin Saveanu, Ryan M. Hull, Cristina Cruz, Maria Vogelauer and Michael Grunstein and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Jonathan Houseley

40 papers receiving 3.9k citations

Hit Papers

The Many Pathways of RNA Degradation 2005 2026 2012 2019 2009 2005 2006 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 Houseley United Kingdom 23 3.5k 600 457 275 130 43 3.9k
Sherif Abou Elela Canada 38 4.0k 1.2× 728 1.2× 358 0.8× 227 0.8× 154 1.2× 96 4.4k
Stephen Watt United Kingdom 26 3.5k 1.0× 619 1.0× 612 1.3× 446 1.6× 120 0.9× 37 4.0k
Sarah F. Newbury United Kingdom 27 2.4k 0.7× 506 0.8× 291 0.6× 690 2.5× 155 1.2× 56 2.9k
Oliver Weichenrieder Germany 36 3.4k 1.0× 356 0.6× 703 1.5× 530 1.9× 212 1.6× 49 3.8k
Young Sik Lee South Korea 20 1.6k 0.5× 639 1.1× 348 0.8× 177 0.6× 400 3.1× 28 2.3k
Shunmin He China 29 2.9k 0.8× 1.3k 2.2× 526 1.2× 290 1.1× 112 0.9× 64 3.4k
Carol J. Wilusz United States 34 3.6k 1.0× 583 1.0× 266 0.6× 280 1.0× 329 2.5× 53 4.3k
Daniel Gerlach Austria 22 1.8k 0.5× 323 0.5× 411 0.9× 361 1.3× 124 1.0× 40 2.7k
G. Brett Robb United States 25 2.4k 0.7× 842 1.4× 183 0.4× 227 0.8× 222 1.7× 35 3.0k
Petr Svoboda Czechia 36 4.5k 1.3× 1.1k 1.9× 681 1.5× 794 2.9× 359 2.8× 89 5.1k

Countries citing papers authored by Jonathan Houseley

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Houseley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Houseley

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Houseley. A scholar is included among the top collaborators of Jonathan Houseley 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 Houseley. Jonathan Houseley 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.
Salerno, Fiamma, Louise S. Matheson, William S. Foster, et al.. (2025). RNA binding proteins control the G 2 -M checkpoint of the germinal center B cell. Science Immunology. 10(112). eadu3718–eadu3718.
2.
Elango, Rajula, Daniel Nguyen, Emilie Rass, et al.. (2024). Two-ended recombination at a Flp-nickase-broken replication fork. Molecular Cell. 85(1). 78–90.e3. 10 indexed citations
3.
Houseley, Jonathan, et al.. (2024). Transcription as source of genetic heterogeneity in budding yeast. Yeast. 41(4). 171–185.
4.
Keszthelyi, Andrea, et al.. (2024). The fork protection complex generates DNA topological stress–induced DNA damage while ensuring full and faithful genome duplication. Proceedings of the National Academy of Sciences. 121(49). e2413631121–e2413631121. 1 indexed citations
5.
Hadj‐Moussa, Hanane, et al.. (2023). Dietary change without caloric restriction maintains a youthful profile in ageing yeast. PLoS Biology. 21(8). e3002245–e3002245. 1 indexed citations
6.
Hadj‐Moussa, Hanane, et al.. (2023). Senescence in yeast is associated with amplified linear fragments of chromosome XII rather than ribosomal DNA circle accumulation. PLoS Biology. 21(8). e3002250–e3002250. 5 indexed citations
7.
Channathodiyil, Prasanna, et al.. (2022). Escape from G1 arrest during acute MEK inhibition drives the acquisition of drug resistance. NAR Cancer. 4(4). zcac032–zcac032. 3 indexed citations
8.
King, Michelle, et al.. (2021). Stimulation of adaptive gene amplification by origin firing under replication fork constraint. Nucleic Acids Research. 50(2). 915–936. 9 indexed citations
9.
Channathodiyil, Prasanna & Jonathan Houseley. (2021). Glyoxal fixation facilitates transcriptome analysis after antigen staining and cell sorting by flow cytometry. PLoS ONE. 16(1). e0240769–e0240769. 21 indexed citations
10.
Krueger, Felix, et al.. (2021). Genome-wide analysis of DNA replication and DNA double-strand breaks using TrAEL-seq. PLoS Biology. 19(3). e3000886–e3000886. 25 indexed citations
11.
Prada-Luengo, Iñigo, Henrik Devitt Møller, Rasmus Amund Henriksen, et al.. (2020). Replicative aging is associated with loss of genetic heterogeneity from extrachromosomal circular DNA in Saccharomyces cerevisiae. Nucleic Acids Research. 48(14). 7883–7898. 31 indexed citations
12.
Hull, Ryan M., Michelle King, Grazia Pizza, et al.. (2019). Transcription-induced formation of extrachromosomal DNA during yeast ageing. PLoS Biology. 17(12). e3000471–e3000471. 85 indexed citations
13.
Cruz, Cristina, et al.. (2018). Tri-methylation of histone H3 lysine 4 facilitates gene expression in ageing cells. eLife. 7. 65 indexed citations
14.
Cruz, Cristina, et al.. (2015). Regulation of ribosomal DNA amplification by the TOR pathway. Proceedings of the National Academy of Sciences. 112(31). 9674–9679. 65 indexed citations
15.
Oxley, David, et al.. (2014). The Nuclear Exosome Is Active and Important during Budding Yeast Meiosis. PLoS ONE. 9(9). e107648–e107648. 10 indexed citations
16.
Walker, Simon, et al.. (2013). Etoposide Induces Nuclear Re-Localisation of AID. PLoS ONE. 8(12). e82110–e82110. 3 indexed citations
17.
Hage, Aziz El & Jonathan Houseley. (2013). Resolution of Budding Yeast Chromosomes Using Pulsed-Field Gel Electrophoresis. Methods in molecular biology. 1054. 195–207. 18 indexed citations
18.
Houseley, Jonathan & David Tollervey. (2010). Apparent Non-Canonical Trans-Splicing Is Generated by Reverse Transcriptase In Vitro. PLoS ONE. 5(8). e12271–e12271. 111 indexed citations
19.
Houseley, Jonathan, Liudmilla Rubbi, Michael Grunstein, David Tollervey, & Maria Vogelauer. (2008). A ncRNA Modulates Histone Modification and mRNA Induction in the Yeast GAL Gene Cluster. Molecular Cell. 32(5). 685–695. 237 indexed citations
20.
Houseley, Jonathan, Zongsheng Wang, Graham Brock, et al.. (2005). Myotonic dystrophy associated expanded CUG repeat muscleblind positive ribonuclear foci are not toxic to Drosophila. Human Molecular Genetics. 14(6). 873–883. 67 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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