Raymond T. O’Keefe

2.7k total citations
48 papers, 1.5k citations indexed

About

Raymond T. O’Keefe is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Raymond T. O’Keefe has authored 48 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Cancer Research. Recurrent topics in Raymond T. O’Keefe's work include RNA Research and Splicing (37 papers), RNA modifications and cancer (31 papers) and RNA and protein synthesis mechanisms (24 papers). Raymond T. O’Keefe is often cited by papers focused on RNA Research and Splicing (37 papers), RNA modifications and cancer (31 papers) and RNA and protein synthesis mechanisms (24 papers). Raymond T. O’Keefe collaborates with scholars based in United Kingdom, United States and Netherlands. Raymond T. O’Keefe's co-authors include Scott C. Henderson, Andrew J. Newman, Joanne C. McGrail, Christine M. Norman, Daniela Delneri, David L. Spector, Jean D. Beggs, Christopher J. Kershaw, Lilyann Novak Frazer and Ian Dix and has published in prestigious journals such as Cell, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Raymond T. O’Keefe

48 papers receiving 1.4k citations

Peers

Raymond T. O’Keefe

GENET

Michèle Ernoult‐Lange France

Dáša Longman United Kingdom

José M. Santos-Pereira Spain

Rémy Bordonné France

Guramrit Singh United States

Ana G. Rondón Spain

Dafne Campigli Di Giammartino United States

Yannick Bidet France

Jose I. de las Heras United Kingdom

Aline Marnef France

Michèle Ernoult‐Lange France

Raymond T. O’Keefe

1.2k ×0.9

156 ×1.0

56 ×0.4

GENET

72 ×0.6

65 ×0.8

Citations per year, relative to Raymond T. O’Keefe Raymond T. O’Keefe (= 1×) peers Michèle Ernoult‐Lange

Countries citing papers authored by Raymond T. O’Keefe

Since Specialization

Citations

This map shows the geographic impact of Raymond T. O’Keefe'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 Raymond T. O’Keefe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raymond T. O’Keefe more than expected).

Fields of papers citing papers by Raymond T. O’Keefe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raymond T. O’Keefe. 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 Raymond T. O’Keefe. The network helps show where Raymond T. O’Keefe may publish in the future.

Co-authorship network of co-authors of Raymond T. O’Keefe

This figure shows the co-authorship network connecting the top 25 collaborators of Raymond T. O’Keefe. A scholar is included among the top collaborators of Raymond T. O’Keefe 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 Raymond T. O’Keefe. Raymond T. O’Keefe 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

Smith, Thomas B., Huw B. Thomas, Kyle Thompson, et al.. (2023). Novel homozygous variants in PRORP expand the genotypic spectrum of combined oxidative phosphorylation deficiency 54. European Journal of Human Genetics. 31(10). 1190–1194. 3 indexed citations

Delneri, Daniela, et al.. (2022). Eisosome disruption by noncoding RNA deletion increases protein secretion in yeast. PNAS Nexus. 1(5). pgac241–pgac241. 2 indexed citations

Rowlands, Charlie F, Gillian Rice, Nicola Whiffin, et al.. (2022). MRSD: A quantitative approach for assessing suitability of RNA-seq in the investigation of mis-splicing in Mendelian disease. The American Journal of Human Genetics. 109(2). 210–222. 11 indexed citations

Badrock, Andrew P., et al.. (2022). Global mapping of RNA homodimers in living cells. Genome Research. 32(5). 956–967. 8 indexed citations

Demain, Leigh, et al.. (2022). Homozygous missense variants in BMPR15 can result in primary ovarian insufficiency. Reproductive BioMedicine Online. 45(4). 727–729. 4 indexed citations

Faridi, Rabia, Cristina Fenollar‐Ferrer, Raymond T. O’Keefe, et al.. (2021). New insights into Perrault syndrome, a clinically and genetically heterogeneous disorder. Human Genetics. 141(3-4). 805–819. 28 indexed citations

Parker, Steven J., Marcin G. Fraczek, Ping Wang, et al.. (2021). Functional and transcriptional profiling of non-coding RNAs in yeast reveal context-dependent phenotypes and in trans effects on the protein regulatory network. PLoS Genetics. 17(1). e1008761–e1008761. 18 indexed citations

Demain, Leigh, Emma Miles, Cheryl T. Fitzgerald, et al.. (2021). Biallelic loss of function variants in STAG3 result in primary ovarian insufficiency. Reproductive BioMedicine Online. 43(5). 899–902. 7 indexed citations

Badrock, Andrew P., Carolina Uggenti, Ludivine Wacheul, et al.. (2020). Analysis of U8 snoRNA Variants in Zebrafish Reveals How Bi-allelic Variants Cause Leukoencephalopathy with Calcifications and Cysts. The American Journal of Human Genetics. 106(5). 694–706. 16 indexed citations

10.

Beaman, Glenda M., Keng Wee Teik, Jill Urquhart, et al.. (2019). A homozygous missense variant in CHRM3 associated with familial urinary bladder disease. Clinical Genetics. 96(6). 515–520. 9 indexed citations

11.

Parker, Steven J., Marcin G. Fraczek, Jian Wu, et al.. (2018). Large-scale profiling of noncoding RNA function in yeast. PLoS Genetics. 14(3). e1007253–e1007253. 28 indexed citations

12.

Parker, Steven J., Marcin G. Fraczek, Jian Wu, et al.. (2017). A resource for functional profiling of noncoding RNA in the yeast Saccharomyces cerevisiae. RNA. 23(8). 1166–1171. 10 indexed citations

13.

O’Keefe, Raymond T., et al.. (2015). The NineTeen Complex (NTC) and NTC-associated proteins as targets for spliceosomal ATPase action during pre-mRNA splicing. RNA Biology. 12(2). 109–114. 11 indexed citations

14.

Kershaw, Christopher J. & Raymond T. O’Keefe. (2012). Splint Ligation of RNA with T4 DNA Ligase. Methods in molecular biology. 941. 257–269. 40 indexed citations

15.

Saha, Debjani, Piyush Khandelia, Raymond T. O’Keefe, & Usha Vijayraghavan. (2012). Saccharomyces cerevisiae NineTeen Complex (NTC)-associated Factor Bud31/Ycr063w Assembles on Precatalytic Spliceosomes and Improves First and Second Step Pre-mRNA Splicing Efficiency. Journal of Biological Chemistry. 287(8). 5390–5399. 15 indexed citations

16.

McGrail, Joanne C., Amanda Krause, & Raymond T. O’Keefe. (2009). The RNA binding protein Cwc2 interacts directly with the U6 snRNA to link the nineteen complex to the spliceosome during pre-mRNA splicing. Nucleic Acids Research. 37(13). 4205–4217. 32 indexed citations

17.

Frazer, Lilyann Novak & Raymond T. O’Keefe. (2007). A new series of yeast shuttle vectors for the recovery and identification of multiple plasmids from Saccharomyces cerevisiae. Yeast. 24(9). 777–789. 16 indexed citations

18.

Dobbyn, Helen C., et al.. (2007). Analysis of pre-mRNA and pre-rRNA processing factor Snu13p structure and mutants. Biochemical and Biophysical Research Communications. 360(4). 857–862. 8 indexed citations

19.

Dobbyn, Helen C. & Raymond T. O’Keefe. (2004). Analysis of Snu13p mutations reveals differential interactions with the U4 snRNA and U3 snoRNA. RNA. 10(2). 308–320. 24 indexed citations

20.

O’Keefe, Raymond T., Christine M. Norman, & Andrew J. Newman. (1996). The Invariant U5 snRNA Loop 1 Sequence Is Dispensable for the First Catalytic Step of pre-mRNA Splicing in Yeast. Cell. 86(4). 679–689. 101 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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