Bret Barnes

46.2k total citations · 2 hit papers
21 papers, 3.2k citations indexed

About

Bret Barnes is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Bret Barnes has authored 21 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Genetics and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Bret Barnes's work include Epigenetics and DNA Methylation (5 papers), RNA modifications and cancer (5 papers) and Neurobiology and Insect Physiology Research (3 papers). Bret Barnes is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), RNA modifications and cancer (5 papers) and Neurobiology and Insect Physiology Research (3 papers). Bret Barnes collaborates with scholars based in United Kingdom, United States and Singapore. Bret Barnes's co-authors include Marina Bibikova, Jennie Le, Kevin L. Gunderson, Richard Shen, Felix Schlesinger, Christopher T. Saunders, Richard J. Shaw, Morten Källberg, Ole Schulz-Trieglaff and Anthony J. Cox and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Bret Barnes

20 papers receiving 3.1k citations

Hit Papers

High density DNA methylation array with single CpG site r... 2011 2026 2016 2021 2011 2015 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bret Barnes United Kingdom 14 2.3k 1.0k 588 264 241 21 3.2k
Richard Shen United States 15 2.4k 1.1× 1.4k 1.3× 442 0.8× 189 0.7× 300 1.2× 22 3.5k
Cheryl Paul Australia 11 4.3k 1.9× 1.1k 1.1× 482 0.8× 211 0.8× 347 1.4× 13 4.9k
Bernhard Korn Germany 30 2.5k 1.1× 1.0k 1.0× 354 0.6× 230 0.9× 178 0.7× 54 3.6k
Long-Cheng Li United States 13 2.6k 1.2× 480 0.5× 800 1.4× 212 0.8× 165 0.7× 14 3.2k
Andreas Weith Germany 29 1.7k 0.7× 772 0.7× 450 0.8× 260 1.0× 89 0.4× 59 3.0k
Patrick Onyango Kenya 21 3.2k 1.4× 992 0.9× 940 1.6× 172 0.7× 340 1.4× 60 4.5k
Dean Nižetić United Kingdom 35 1.8k 0.8× 977 0.9× 227 0.4× 145 0.5× 165 0.7× 92 3.5k
Benilton S. Carvalho Brazil 24 1.6k 0.7× 682 0.7× 491 0.8× 234 0.9× 121 0.5× 58 2.9k
Nicholas C. Wong Australia 30 2.0k 0.9× 432 0.4× 521 0.9× 210 0.8× 391 1.6× 72 3.0k
Stefano Colella France 28 2.3k 1.0× 1.1k 1.0× 897 1.5× 130 0.5× 128 0.5× 50 4.1k

Countries citing papers authored by Bret Barnes

Since Specialization
Citations

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

Fields of papers citing papers by Bret Barnes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bret Barnes

This figure shows the co-authorship network connecting the top 25 collaborators of Bret Barnes. A scholar is included among the top collaborators of Bret Barnes 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 Bret Barnes. Bret Barnes 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.
Barnes, Bret, Anita Pottekat, Elisa Majounie, et al.. (2025). Scalable screening of ternary-code DNA methylation dynamics associated with human traits. Cell Genomics. 5(9). 100929–100929. 1 indexed citations
2.
Barnes, Bret, et al.. (2024). 456 Comparing the DNA methylation and transcriptomic signature of the epidermis and dermis with regards to age and the UV response. Journal of Investigative Dermatology. 144(12). S307–S307.
3.
Arneson, A, Amin Haghani, Michael J. Thompson, et al.. (2022). A mammalian methylation array for profiling methylation levels at conserved sequences. Nature Communications. 13(1). 783–783. 104 indexed citations
5.
Kulkarni, Naveen V., Bret Barnes, Samuel Bobholz, et al.. (2022). Image Quality Evaluation in Dual-Energy CT of the Chest, Abdomen, and Pelvis in Obese Patients With Deep Learning Image Reconstruction. Journal of Computer Assisted Tomography. 46(4). 604–611. 10 indexed citations
6.
Schulz-Trieglaff, Ole, Richard J. Shaw, Bret Barnes, et al.. (2015). Manta: rapid detection of structural variants and indels for germline and cancer sequencing applications. Bioinformatics. 32(8). 1220–1222. 1020 indexed citations breakdown →
7.
Bibikova, Marina, Bret Barnes, Vincent Ho, et al.. (2011). High density DNA methylation array with single CpG site resolution. Genomics. 98(4). 288–295. 1177 indexed citations breakdown →
8.
Bibikova, Marina, Bret Barnes, Vincent Ho, et al.. (2011). Abstract LB-176: A novel high density DNA methylation array with single CpG site resolution. Cancer Research. 71(8_Supplement). LB–176. 4 indexed citations
9.
Bibikova, Marina, Jennie Le, Bret Barnes, et al.. (2009). Genome-Wide Dna Methylation Profiling Using Infinium ® Assay. Epigenomics. 1(1). 177–200. 440 indexed citations
10.
Chen, Jing, Jean Lozach, Bret Barnes, et al.. (2008). Highly sensitive and specific microRNA expression profiling using BeadArray technology. Nucleic Acids Research. 36(14). e87–e87. 84 indexed citations
11.
Karplus, Kevin, Sol Katzman, Martina Koeva, et al.. (2005). SAM-T04: What is new in protein-structure prediction for CASP6. Proteins Structure Function and Bioinformatics. 61(S7). 135–142. 85 indexed citations
12.
Pooni, H S, et al.. (1995). The genetic control of maturity and seed characters in sunflower crosses. The Journal of Agricultural Science. 125(1). 69–78. 4 indexed citations
13.
Barnes, Bret & A. J. Birley. (1978). Genetical variation for enzyme activity in a population of Drosophila Melanogaster. Heredity. 40(1). 51–57. 27 indexed citations
14.
Birley, A. J. & Bret Barnes. (1975). Genetical variation for enzyme activity in a population of Drosophila melanogaster. Heredity. 35(1). 121–126. 25 indexed citations
15.
Barnes, Bret & A. J. Birley. (1975). Genetical variation for enzyme activity in a population of Drosophila melanogaster. Heredity. 35(1). 115–119. 12 indexed citations
16.
Birley, A. J. & Bret Barnes. (1973). Genetical variation for enzyme activity in a population of Drosophila melanogaster. Heredity. 31(3). 413–416. 26 indexed citations
17.
Barnes, Bret, et al.. (1971). Variation for metrical characters in Drosophila populations III. The nature of selection. Heredity. 27(2). 163–174. 44 indexed citations
18.
Barnes, Bret & M. J. Kearsey. (1970). Variation for metrical characters in Drosophila populations I. Genetic analysis. Heredity. 25(1). 1–10. 23 indexed citations
19.
Kearsey, M. J. & Bret Barnes. (1970). Variation for metrical characters in Drosophila populations II. Natural selection. Heredity. 25(1). 11–21. 51 indexed citations
20.
Barnes, Bret. (1968). Stabilising selection in Drosophila melanogaster. Heredity. 23(3). 433–442. 29 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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