J. David Barrass

1.2k total citations
24 papers, 903 citations indexed

About

J. David Barrass is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, J. David Barrass has authored 24 papers receiving a total of 903 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 3 papers in Plant Science and 2 papers in Cell Biology. Recurrent topics in J. David Barrass's work include RNA Research and Splicing (18 papers), RNA and protein synthesis mechanisms (17 papers) and RNA modifications and cancer (13 papers). J. David Barrass is often cited by papers focused on RNA Research and Splicing (18 papers), RNA and protein synthesis mechanisms (17 papers) and RNA modifications and cancer (13 papers). J. David Barrass collaborates with scholars based in United Kingdom, France and Italy. J. David Barrass's co-authors include Jean D. Beggs, Ross D. Alexander, Richard Grainger, Kum-Loong Boon, Tatsiana Auchynnikava, Shaun Webb, David Tollervey, Chris F. Inglehearn, Joanna Kufel and Parastoo Ehsani and has published in prestigious journals such as Nucleic Acids Research, Nature Biotechnology and Molecular Cell.

In The Last Decade

J. David Barrass

24 papers receiving 893 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. David Barrass United Kingdom	16	847	95	56	51	30	24	903
Keith E. Giles United States	13	506 0.6×	68 0.7×	74 1.3×	49 1.0×	21 0.7×	14	531
Maayan Amit Israel	8	578 0.7×	62 0.7×	84 1.5×	44 0.9×	9 0.3×	8	656
Lijuan Feng United States	11	439 0.5×	50 0.5×	61 1.1×	32 0.6×	36 1.2×	16	538
Martin Franke Germany	11	571 0.7×	159 1.7×	50 0.9×	149 2.9×	21 0.7×	23	688
Viviana Valadez‐Graham Mexico	16	436 0.5×	149 1.6×	46 0.8×	63 1.2×	65 2.2×	30	557
François Dragon Canada	15	1.5k 1.7×	86 0.9×	80 1.4×	62 1.2×	37 1.2×	20	1.6k
Tim Blauwkamp United States	5	602 0.7×	95 1.0×	75 1.3×	32 0.6×	13 0.4×	6	657
Michael D. Huber United States	9	694 0.8×	48 0.5×	66 1.2×	70 1.4×	28 0.9×	10	800
Clément Charenton France	9	793 0.9×	34 0.4×	80 1.4×	71 1.4×	17 0.6×	10	843
Matthew Wollerton United Kingdom	9	979 1.2×	34 0.4×	115 2.1×	49 1.0×	33 1.1×	9	1.1k

Countries citing papers authored by J. David Barrass

Since Specialization

Citations

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

Fields of papers citing papers by J. David Barrass

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. David Barrass. 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 J. David Barrass. The network helps show where J. David Barrass may publish in the future.

Co-authorship network of co-authors of J. David Barrass

This figure shows the co-authorship network connecting the top 25 collaborators of J. David Barrass. A scholar is included among the top collaborators of J. David Barrass 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 J. David Barrass. J. David Barrass 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

1.

Barrass, J. David, et al.. (2019). Tuning Degradation to Achieve Specific and Efficient Protein Depletion. Journal of Visualized Experiments. 3 indexed citations

2.

Barrass, J. David, et al.. (2019). Tuning Degradation to Achieve Specific and Efficient Protein Depletion. Journal of Visualized Experiments. 2 indexed citations

3.

Barrass, J. David & Jean D. Beggs. (2019). Extremely Rapid and Specific Metabolic Labelling of RNA In Vivo with 4-Thiouracil (Ers4tU). Journal of Visualized Experiments. 3 indexed citations

4.

Barrass, J. David & Jean D. Beggs. (2019). Extremely Rapid and Specific Metabolic Labelling of RNA In Vivo with 4-Thiouracil (Ers4tU). Journal of Visualized Experiments. 3 indexed citations

5.

Tudek, Agnieszka, et al.. (2018). A Nuclear Export Block Triggers the Decay of Newly Synthesized Polyadenylated RNA. Cell Reports. 24(9). 2457–2467.e7. 33 indexed citations

6.

Gautam, Amit, Richard Grainger, Josep Vilardell, J. David Barrass, & Jean D. Beggs. (2015). Cwc21p promotes the second step conformation of the spliceosome and modulates 3′ splice site selection. Nucleic Acids Research. 43(6). 3309–3317. 15 indexed citations

7.

Barrass, J. David, Jane Reid, Yuanhua Huang, et al.. (2015). Transcriptome-wide RNA processing kinetics revealed using extremely short 4tU labeling. Genome biology. 16(1). 282–282. 51 indexed citations

8.

Cordin, Olivier, Daniela Hahn, Ross D. Alexander, et al.. (2014). Brr2p carboxy-terminal Sec63 domain modulates Prp16 splicing RNA helicase. Nucleic Acids Research. 42(22). 13897–13910. 10 indexed citations

9.

Barrass, J. David, et al.. (2014). A Splicing-Dependent Transcriptional Checkpoint Associated with Prespliceosome Formation. Molecular Cell. 53(5). 779–790. 71 indexed citations

10.

Świa̧tkowska, Agata, Wiebke Wlotzka, Alex Tuck, et al.. (2012). Kinetic analysis of pre-ribosome structure in vivo. RNA. 18(12). 2187–2200. 21 indexed citations

11.

Alexander, Ross D., J. David Barrass, Martin Koš, et al.. (2010). RiboSys, a high-resolution, quantitative approach to measure the in vivo kinetics of pre-mRNA splicing and 3′-end processing in Saccharomyces cerevisiae. RNA. 16(12). 2570–2580. 46 indexed citations

12.

Alexander, Ross D., et al.. (2010). Splicing-Dependent RNA Polymerase Pausing in Yeast. Molecular Cell. 40(4). 582–593. 204 indexed citations

13.

Grainger, Richard, J. David Barrass, Alain Jacquier, Jean‐Christophe Rain, & Jean D. Beggs. (2009). Physical and genetic interactions of yeast Cwc21p, an ortholog of human SRm300/SRRM2, suggest a role at the catalytic center of the spliceosome. RNA. 15(12). 2161–2173. 44 indexed citations

14.

Kafasla, Panagiota, J. David Barrass, Elizabeth L. Thompson, et al.. (2009). Interaction of yeast eIF4G with spliceosome components: Implications in pre-mRNA processing events. RNA Biology. 6(5). 563–574. 13 indexed citations

15.

Boon, Kum-Loong, Richard Grainger, Parastoo Ehsani, et al.. (2007). prp8 mutations that cause human retinitis pigmentosa lead to a U5 snRNP maturation defect in yeast. Nature Structural & Molecular Biology. 14(11). 1077–1083. 82 indexed citations

16.

Devaux, Frédéric, Alessandro Fatica, Joanna Kufel, et al.. (2006). Microarray detection of novel nuclear RNA substrates for the exosome. Yeast. 23(6). 439–454. 62 indexed citations

17.

Barrass, J. David & Jean D. Beggs. (2003). Splicing goes global. Trends in Genetics. 19(6). 295–298. 26 indexed citations

18.

Dalrymple, Michael, et al.. (1993). Transgenic Livestock as Bioreactors: Stable Expression of Human Alpha-1-Antitrypsin by a Flock of Sheep. Nature Biotechnology. 11(11). 1263–1270. 68 indexed citations

19.

Wright, Gerard D., J. P. Cooper, Michael Dalrymple, et al.. (1992). Expression of human α1 antitrypsin in transgenic sheep. Cytotechnology. 9(1-3). 77–84. 27 indexed citations

20.

Kennedy, Peter G. E., J. David Barrass, David I. Graham, & G. B. Clements. (1990). Studies on the pathogenesis of neurological diseases associated with Varicella‐Zoster Virus. Neuropathology and Applied Neurobiology. 16(4). 305–316. 15 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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