Brett Duval

1.2k total citations · 1 hit paper
6 papers, 845 citations indexed

About

Brett Duval is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Brett Duval has authored 6 papers receiving a total of 845 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Genetics. Recurrent topics in Brett Duval's work include Muscle Physiology and Disorders (4 papers), Mitochondrial Function and Pathology (2 papers) and Virus-based gene therapy research (2 papers). Brett Duval is often cited by papers focused on Muscle Physiology and Disorders (4 papers), Mitochondrial Function and Pathology (2 papers) and Virus-based gene therapy research (2 papers). Brett Duval collaborates with scholars based in United States and Spain. Brett Duval's co-authors include Robert B. Weiss, Diane M. Dunn, Cindy Hamil, Nancy D. Leslie, Natalie Street, Chris Shilling, Kandice Roush, Roula Al‐Dahhak, Jerry R. Mendell and Kevin M. Flanigan and has published in prestigious journals such as Neurology, Annals of Neurology and Genome Research.

In The Last Decade

Brett Duval

6 papers receiving 837 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Evidence‐based path to newborn screening for duchenne muscular dystrophy

2012 607 citations Jerry R. Mendell, Chris Shilling et al. Annals of Neurology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brett Duval United States	4	651	140	140	136	125	6	845
Cindy Hamil United States	6	619 1.0×	132 0.9×	173 1.2×	93 0.7×	122 1.0×	8	870
Roberta Sacchetto Italy	19	623 1.0×	183 1.3×	70 0.5×	227 1.7×	33 0.3×	59	888
Kinga K. Tomczak United States	11	639 1.0×	268 1.9×	116 0.8×	75 0.6×	132 1.1×	18	876
M. Mattioli Italy	24	343 0.5×	25 0.2×	214 1.5×	54 0.4×	84 0.7×	45	1.3k
A. Roche United Kingdom	9	708 1.1×	67 0.5×	506 3.6×	157 1.2×	30 0.2×	13	960
M. W. Thompson Australia	12	331 0.5×	135 1.0×	129 0.9×	48 0.4×	56 0.4×	19	851
Chantal Janmot France	20	827 1.3×	357 2.5×	85 0.6×	136 1.0×	61 0.5×	41	1.1k
Carole Berry New Zealand	13	513 0.8×	63 0.5×	114 0.8×	34 0.3×	61 0.5×	21	749
Hiroaki Fujimoto Japan	16	138 0.2×	46 0.3×	36 0.3×	29 0.2×	21 0.2×	68	692
Fang Yuan China	23	806 1.2×	326 2.3×	173 1.2×	19 0.1×	24 0.2×	65	1.2k

Countries citing papers authored by Brett Duval

Since Specialization

Citations

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

Fields of papers citing papers by Brett Duval

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brett Duval

This figure shows the co-authorship network connecting the top 25 collaborators of Brett Duval. A scholar is included among the top collaborators of Brett Duval 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 Brett Duval. Brett Duval is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Butterfield, Russell J., et al.. (2023). Deciphering D4Z4 CpG methylation gradients in fascioscapulohumeral muscular dystrophy using nanopore sequencing. Genome Research. 33(9). 1439–1454. 6 indexed citations

2.

Johnson, Nicholas E., Russell J. Butterfield, Katie Mayne, et al.. (2021). Population-Based Prevalence of Myotonic Dystrophy Type 1 Using Genetic Analysis of Statewide Blood Screening Program. Neurology. 96(7). e1045–e1053. 85 indexed citations

3.

Butterfield, Russell J., Katie Mayne, Tara Newcomb, et al.. (2021). High throughput screening for expanded CTG repeats in myotonic dystrophy type 1 using melt curve analysis. Molecular Genetics & Genomic Medicine. 9(4). e1619–e1619. 3 indexed citations

4.

Oakeson, Kelly F., Rosario Gil, Adam L. Clayton, et al.. (2014). Genome Degeneration and Adaptation in a Nascent Stage of Symbiosis. Genome Biology and Evolution. 6(1). 76–93. 143 indexed citations

5.

Mendell, Jerry R., Chris Shilling, Nancy D. Leslie, et al.. (2012). Evidence‐based path to newborn screening for duchenne muscular dystrophy. Annals of Neurology. 71(3). 304–313. 607 indexed citations breakdown →

6.

Mendell, J., Christopher Shilling, N. Leslie, et al.. (2012). D.O.1 A two-tiered approach to newborn screening for Duchenne muscular dystrophy (DMD) using dried blood spots for sequential CK and DNA analysis. Neuromuscular Disorders. 22(9-10). 805–805. 1 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.

Explore authors with similar magnitude of impact