Joel Mefford

1.5k total citations
35 papers, 767 citations indexed

About

Joel Mefford is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Joel Mefford has authored 35 papers receiving a total of 767 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Genetics, 13 papers in Molecular Biology and 7 papers in Cancer Research. Recurrent topics in Joel Mefford's work include Genetic Associations and Epidemiology (15 papers), Bioinformatics and Genomic Networks (6 papers) and Genetic and phenotypic traits in livestock (5 papers). Joel Mefford is often cited by papers focused on Genetic Associations and Epidemiology (15 papers), Bioinformatics and Genomic Networks (6 papers) and Genetic and phenotypic traits in livestock (5 papers). Joel Mefford collaborates with scholars based in United States, Japan and Australia. Joel Mefford's co-authors include John S. Witte, Noah Zaitlen, Michiaki Kubo, Benjamin A. Rybicki, Deanna L. Kroetz, Kate M. Scow, Clifford A. Hudis, Albert M. Levin, Jessica R. Hanson and Iona Cheng and has published in prestigious journals such as Nature Medicine, Nature Communications and Nature Genetics.

In The Last Decade

Joel Mefford

31 papers receiving 754 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joel Mefford United States 15 282 231 194 126 98 35 767
Linda L. Pelleymounter United States 17 418 1.5× 256 1.1× 275 1.4× 82 0.7× 148 1.5× 26 972
Maria Pagano Italy 16 197 0.7× 229 1.0× 75 0.4× 170 1.3× 83 0.8× 50 821
Chris Carlson United States 12 271 1.0× 92 0.4× 187 1.0× 64 0.5× 120 1.2× 14 831
Leszek Kozłowski Poland 12 256 0.9× 268 1.2× 75 0.4× 85 0.7× 154 1.6× 34 683
Edna Efrati Israel 16 384 1.4× 84 0.4× 104 0.5× 44 0.3× 104 1.1× 33 655
Alice Wang United States 16 377 1.3× 116 0.5× 79 0.4× 141 1.1× 102 1.0× 35 933
Gavin Lucas Spain 14 242 0.9× 235 1.0× 129 0.7× 46 0.4× 58 0.6× 22 710
Lihua Wu China 11 357 1.3× 163 0.7× 124 0.6× 39 0.3× 65 0.7× 39 828
Gloria Ravegnini Italy 22 427 1.5× 194 0.8× 68 0.4× 333 2.6× 269 2.7× 87 1.4k
Annemieke IJpenberg Switzerland 8 684 2.4× 120 0.5× 135 0.7× 78 0.6× 115 1.2× 8 896

Countries citing papers authored by Joel Mefford

Since Specialization
Citations

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

Fields of papers citing papers by Joel Mefford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joel Mefford

This figure shows the co-authorship network connecting the top 25 collaborators of Joel Mefford. A scholar is included among the top collaborators of Joel Mefford 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 Joel Mefford. Joel Mefford 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.
Mefford, Joel, et al.. (2026). The predicament of heritable confounders. Nature Genetics. 58(2). 264–270.
2.
Mefford, Joel, F. Zhang, Richard Border, et al.. (2025). Beyond predictive R: Quantile regression and non-equivalence tests reveal complex relationships of traits and polygenic scores. The American Journal of Human Genetics. 112(6). 1363–1375.
3.
4.
Mefford, Joel, Zi-Long Zhao, Man Xu, et al.. (2023). Varied performance of picture description task as a screening tool across MCI subtypes. SHILAP Revista de lepidopterología. 2(3). e0000197–e0000197. 5 indexed citations
5.
Flint, Jonathan, Zeyuan Chen, Joel Mefford, et al.. (2023). Single-cell methylation analysis of brain tissue prioritizes mutations that alter transcription. Cell Genomics. 3(12). 100454–100454. 3 indexed citations
6.
Sloane, Kelly L., Joel Mefford, Zi-Long Zhao, et al.. (2022). Validation of a Mobile, Sensor-based Neurobehavioral Assessment With Digital Signal Processing and Machine-learning Analytics. Cognitive and Behavioral Neurology. 35(3). 169–178. 2 indexed citations
7.
Celona, Barbara, Fleur C. Garton, Joel Mefford, et al.. (2021). Comprehensive cell type decomposition of circulating cell-free DNA with CelFiE. Nature Communications. 12(1). 2717–2717. 33 indexed citations
8.
Keys, Kevin L., Angel C. Y. Mak, Marquitta J. White, et al.. (2020). On the cross-population generalizability of gene expression prediction models. PLoS Genetics. 16(8). e1008927–e1008927. 31 indexed citations
9.
Mefford, Joel, Danny S. Park, Zhili Zheng, et al.. (2020). Efficient Estimation and Applications of Cross-Validated Genetic Predictions to Polygenic Risk Scores and Linear Mixed Models. Journal of Computational Biology. 27(4). 599–612. 13 indexed citations
10.
Liu, Xuanyao, Joel Mefford, Andrew Dahl, et al.. (2020). GBAT: a gene-based association test for robust detection of trans-gene regulation. Genome biology. 21(1). 211–211. 12 indexed citations
11.
Dahl, Andy, Vincent Guillemot, Joel Mefford, Hugues Aschard, & Noah Zaitlen. (2019). Adjusting for Principal Components of Molecular Phenotypes Induces Replicating False Positives. Genetics. 211(4). 1179–1189. 10 indexed citations
12.
Lindquist, Karla, Pamela L. Paris, Thomas J. Hoffmann, et al.. (2016). Mutational Landscape of Aggressive Prostate Tumors in African American Men. Cancer Research. 76(7). 1860–1868. 54 indexed citations
13.
Lee, Sulggi A., Joel Mefford, Yong Huang, et al.. (2016). Host genetic predictors of the kynurenine pathway of tryptophan catabolism among treated HIV-infected Ugandans. AIDS. 30(11). 1807–1815. 11 indexed citations
14.
Mefford, Joel, Noah Zaitlen, & John S. Witte. (2016). Comment: A Human Genetics Perspective. Journal of the American Statistical Association. 111(513). 124–127. 1 indexed citations
15.
Chhibber, Aparna, Joel Mefford, Eli A. Stahl, et al.. (2014). Polygenic inheritance of paclitaxel-induced sensory peripheral neuropathy driven by axon outgrowth gene sets in CALGB 40101 (Alliance). The Pharmacogenomics Journal. 14(4). 336–342. 26 indexed citations
16.
Yee, Sook Wah, Joel Mefford, Natasha Singh, et al.. (2013). Impact of polymorphisms in drug pathway genes on disease-free survival in adults with acute myeloid leukemia. Journal of Human Genetics. 58(6). 353–361. 31 indexed citations
17.
Baldwin, R. Michael, Kouros Owzar, Hitoshi Zembutsu, et al.. (2012). A Genome-Wide Association Study Identifies Novel Loci for Paclitaxel-Induced Sensory Peripheral Neuropathy in CALGB 40101. Clinical Cancer Research. 18(18). 5099–5109. 160 indexed citations
18.
Mefford, Joel & John S. Witte. (2012). The Covariate's Dilemma. PLoS Genetics. 8(11). e1003096–e1003096. 38 indexed citations
19.
Cardin, Niall J., Joel Mefford, & John S. Witte. (2012). Joint Association Testing of Common and Rare Genetic Variants Using Hierarchical Modeling. Genetic Epidemiology. 36(6). 642–651. 5 indexed citations
20.
Mefford, Joel, et al.. (2010). Enumerating the gene sets in breast cancer, a "direct" alternative to hierarchical clustering. BMC Genomics. 11(1). 482–482. 4 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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