J. David Barrass

1.2k citations
24 papers · 908 · h-index 16

Impact in

    • RNA Research and Splicing
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • Genomics and Chromatin Dynamics
    • CRISPR and Genetic Engineering
    • RNA regulation and disease
    • Cancer-related molecular mechanisms research

Papers in

    • RNA Research and Splicing 17
    • RNA and protein synthesis mechanisms 16
    • RNA modifications and cancer 12
    • Ubiquitin and proteasome pathways 3
    • Plant Molecular Biology Research 3

J. David Barrass

24 papers receiving 898 citations

Peers

J. David Barrass
Comparison fields: 5 of 50
  • Molecular Biology 839
  • Cancer Research 56
  • Genetics 96
  • Aging 5
  • Structural Biology 4
Replace Shanaya Shital Shah with:
Shanaya Shital Shah United States
Maayan Amit Israel
Amir Goren Israel
Simon Lebaron France
Clément Charenton France
Sergey O. Sulima Belgium
Jeremy Stuart United States
François Dragon Canada
Viviana Valadéz-Graham Mexico
H. Lehtonen Germany
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside J. David Barrass, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J. David Barrass Line = papers co-authored together J. David Barrass links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010205
2 200782
3 201472
4 199368
5 200662
6 200657
7 201551
8 201046
9 200944
10 201833
11 201827
12 199227
13 200326
14 201221
15 199017
16 201516
17 200913
18 200913
19 201410
20 20197

About J. David Barrass

J. David Barrass is a scholar working on Molecular Biology, Plant Science, Cell Biology, Genetics and Biotechnology, having authored 24 papers that have together received 908 indexed citations. Recurring topics across this work include RNA Research and Splicing (17 papers), RNA and protein synthesis mechanisms (16 papers), RNA modifications and cancer (12 papers), Ubiquitin and proteasome pathways (3 papers), Plant Molecular Biology Research (3 papers), Animal Genetics and Reproduction (2 papers), Biotin and Related Studies (2 papers) and Transgenic Plants and Applications (2 papers). The work is most often cited by research in Molecular Biology (839 citations), Cancer Research (56 citations), Genetics (96 citations), Aging (5 citations) and Structural Biology (4 citations). J. David Barrass has collaborated with scholars based in United Kingdom, France and Poland. Frequent co-authors include Jean D. Beggs, Ross D. Alexander, Richard Grainger, Tatsiana Auchynnikava, Kum-Loong Boon, Keerthi T. Chathoth, Shaun Webb, David Tollervey, Joanna Kufel and Parastoo Ehsani. Their work appears in journals such as Journal of Visualized Experiments, RNA, Molecular Cell, Yeast and Nucleic Acids Research.

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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