David Brett

1.3k citations
9 papers · 1.0k · h-index 8

Impact in

    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing
    • RNA modifications and cancer
    • Genomics and Phylogenetic Studies
    • Peroxisome Proliferator-Activated Receptors
    • Genomics and Chromatin Dynamics
  • Biochemistry top 10%
    • Lipid metabolism and biosynthesis

Papers in

    • RNA Research and Splicing 4
    • RNA modifications and cancer 3
    • RNA and protein synthesis mechanisms 3
    • Molecular Biology Techniques and Applications 2
    • Peroxisome Proliferator-Activated Receptors 1
    • Gene expression and cancer classification 1

David Brett

8 papers receiving 958 citations

Peers

David Brett
Comparison fields: 5 of 90
  • Molecular Biology 748
  • Biochemistry 65
  • Cancer Research 103
  • Genetics 116
  • Aging 6
Replace S Tajima with:
S Tajima Japan
R Misra United States
Joanna S. Amey United Kingdom
Belaïd Sekkali Belgium
Jorge Magallon United States
Karim Roder United States
Josiane Szpirer Belgium
Paolo Sassone-Corsi United States
Sigurd Ørstavik Norway
Ami A. Deora United States
David Brett relative to S Tajima Japan S Tajima's profile →
Citations per field
00.5×1.5×
S Tajima · 1×
Citations per year

Countries citing papers authored by David Brett

Since Specialization
Citations

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

Fields of papers citing papers by David Brett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Brett, 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 David Brett Line = papers co-authored together David Brett links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2001420
2 2000242
3 1993207
4 200359
5 200444
6 200011
7 200110
8 199910
9 20060

About David Brett

David Brett is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine and Pharmacology, having authored 9 papers that have together received 1.0k indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), RNA modifications and cancer (3 papers), RNA and protein synthesis mechanisms (3 papers), Molecular Biology Techniques and Applications (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Gene expression and cancer classification (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and interferon and immune responses (1 paper). The work is most often cited by research in Molecular Biology (748 citations), Biochemistry (65 citations), Cancer Research (103 citations), Genetics (116 citations) and Aging (6 citations). David Brett has collaborated with scholars based in Germany, United Kingdom and Italy. Frequent co-authors include J. Reich, Peer Bork, Juan Valcárcel, Heike Pospisil, Jens Hanke, Sabine Haase, Sebastian Delbrück, Adam Jarmuz, PETER G. H. BYFIELD and Carol C. Shoulders. Their work appears in journals such as Bioinformatics, Human Molecular Genetics, Gene, Oncogene and Nature Genetics.

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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