Joseph E. Powell

30.7k total citations · 2 hit papers
97 papers, 6.2k citations indexed

About

Joseph E. Powell is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Joseph E. Powell has authored 97 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Molecular Biology, 37 papers in Genetics and 17 papers in Immunology. Recurrent topics in Joseph E. Powell's work include Single-cell and spatial transcriptomics (34 papers), Genetic Associations and Epidemiology (24 papers) and Genetic Mapping and Diversity in Plants and Animals (12 papers). Joseph E. Powell is often cited by papers focused on Single-cell and spatial transcriptomics (34 papers), Genetic Associations and Epidemiology (24 papers) and Genetic Mapping and Diversity in Plants and Animals (12 papers). Joseph E. Powell collaborates with scholars based in Australia, United States and United Kingdom. Joseph E. Powell's co-authors include Peter M. Visscher, Michael E. Goddard, Grant W. Montgomery, José Alquicira-Hernández, Jian Yang, Naomi R. Wray, Matthew R. Robinson, Andrew Bakshi, Zhihong Zhu and Futao Zhang and has published in prestigious journals such as Science, Nature Communications and Nature Genetics.

In The Last Decade

Joseph E. Powell

94 papers receiving 6.1k 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.

Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets

2016 1.6k citations Joseph E. Powell, Grant W. Montgomery et al. Nature Genetics profile →
Single-cell eQTL mapping identifies cell type–specific genetic control of autoimmune disease

2022 228 citations Seyhan Yazar, José Alquicira-Hernández et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Joseph E. Powell Australia	35	3.3k	2.4k	914	712	393	97	6.2k
Arif B. Ekici Germany	42	2.6k 0.8×	1.6k 0.6×	779 0.9×	569 0.8×	269 0.7×	195	5.1k
Tomi Pastinen Canada	39	3.5k 1.1×	1.9k 0.8×	795 0.9×	567 0.8×	242 0.6×	147	5.8k
Barbara E. Stranger United States	36	4.2k 1.3×	3.8k 1.6×	1.2k 1.3×	932 1.3×	213 0.5×	72	7.6k
Giulio Genovese United States	33	2.6k 0.8×	1.8k 0.8×	526 0.6×	434 0.6×	279 0.7×	67	6.8k
Alexander Hoischen Netherlands	46	3.9k 1.2×	4.0k 1.6×	1.0k 1.1×	940 1.3×	363 0.9×	142	8.2k
Laurent Gil United Kingdom	7	3.1k 0.9×	3.0k 1.2×	422 0.5×	1.0k 1.4×	350 0.9×	7	6.1k
Brendan Blumenstiel United States	8	2.1k 0.6×	2.4k 1.0×	505 0.6×	628 0.9×	344 0.9×	12	5.4k
Jin Yu United States	12	3.0k 0.9×	3.0k 1.2×	379 0.4×	748 1.1×	238 0.6×	17	5.9k
Hedi Peterson Estonia	20	3.9k 1.2×	1.0k 0.4×	896 1.0×	945 1.3×	348 0.9×	33	6.5k
Matthew DeFelice United States	5	2.0k 0.6×	2.4k 1.0×	491 0.5×	504 0.7×	313 0.8×	7	5.1k

Countries citing papers authored by Joseph E. Powell

Since Specialization

Citations

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

Fields of papers citing papers by Joseph E. Powell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph E. Powell. 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 Joseph E. Powell. The network helps show where Joseph E. Powell may publish in the future.

Co-authorship network of co-authors of Joseph E. Powell

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

All Works

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20 of 20 papers shown

Farbehi, Nona, Drew Neavin, Anna Cuomo, et al.. (2024). Integrating population genetics, stem cell biology and cellular genomics to study complex human diseases. Nature Genetics. 56(5). 758–766. 6 indexed citations

Mason, Elizabeth A., Stefanie Dudczig, Tyrone Chen, et al.. (2023). Single‐cell analysis of lymphatic endothelial cell fate specification and differentiation during zebrafish development. The EMBO Journal. 42(11). e112590–e112590. 15 indexed citations

Xue, Angli, Seyhan Yazar, Drew Neavin, & Joseph E. Powell. (2023). Pitfalls and opportunities for applying latent variables in single-cell eQTL analyses. Genome biology. 24(1). 33–33. 6 indexed citations

Phipson, Belinda, Choon Boon Sim, Enzo R. Porrello, et al.. (2022). propeller: testing for differences in cell type proportions in single cell data. Bioinformatics. 38(20). 4720–4726. 104 indexed citations

Yazar, Seyhan, José Alquicira-Hernández, Kristof Wing, et al.. (2022). Single-cell eQTL mapping identifies cell type–specific genetic control of autoimmune disease. Science. 376(6589). eabf3041–eabf3041. 228 indexed citations breakdown →

Alquicira-Hernández, José & Joseph E. Powell. (2021). Nebulosa recovers single-cell gene expression signals by kernel density estimation. Bioinformatics. 37(16). 2485–2487. 168 indexed citations

Powell, Joseph E., et al.. (2021). DropletQC: improved identification of empty droplets and damaged cells in single-cell RNA-seq data. Genome biology. 22(1). 329–329. 29 indexed citations

Senabouth, Anne, Stacey B. Andersen, Lei Shi, et al.. (2020). Comparative performance of the BGI and Illumina sequencing technology for single-cell RNA-sequencing. NAR Genomics and Bioinformatics. 2(2). lqaa034–lqaa034. 33 indexed citations

Wijst, Monique G.P. van der, Hilde E. Groot, Gosia Trynka, et al.. (2020). The single-cell eQTLGen consortium. eLife. 9. 116 indexed citations

10.

Ogger, Patricia P., Richard Hewitt, Brendan O’Sullivan, et al.. (2020). Itaconate controls the severity of pulmonary fibrosis. Science Immunology. 5(52). 104 indexed citations

11.

Senabouth, Anne, Samuel W. Lukowski, José Alquicira-Hernández, et al.. (2019). ascend : R package for analysis of single-cell RNA-seq data. GigaScience. 8(8). 27 indexed citations

12.

Cobos, Francisco Avila, José Alquicira-Hernández, Jo Vandesompele, et al.. (2019). Benchmarking the impact of data transformation, pre-processing and choice of method in the computational deconvolution of transcriptomics data. 1 indexed citations

13.

Xu, Jun, Quan Nguyen, Joanna Crawford, et al.. (2019). Genotype-free demultiplexing of pooled single-cell RNA-seq. Genome biology. 20(1). 290–290. 46 indexed citations

14.

Alquicira-Hernández, José, Anuja Sathe, Hanlee P. Ji, Quan Nguyen, & Joseph E. Powell. (2019). scPred: accurate supervised method for cell-type classification from single-cell RNA-seq data. Genome biology. 20(1). 264–264. 255 indexed citations

15.

Daniszewski, Maciej, Anne Senabouth, Quan Nguyen, et al.. (2018). Single cell RNA sequencing of stem cell-derived retinal ganglion cells. Scientific Data. 5(1). 37 indexed citations

16.

Chambers, Daniel C., et al.. (2018). Transcriptomics and single‐cell RNA‐sequencing. Respirology. 24(1). 29–36. 81 indexed citations

17.

Nguyen, Quan, Samuel W. Lukowski, Han Sheng Chiu, et al.. (2018). Single-cell RNA-seq of human induced pluripotent stem cells reveals cellular heterogeneity and cell state transitions between subpopulations. Genome Research. 28(7). 1053–1066. 74 indexed citations

18.

Zeng, Biao, Luke R. Lloyd‐Jones, Alexander Holloway, et al.. (2017). Constraints on eQTL Fine Mapping in the Presence of Multisite Local Regulation of Gene Expression. G3 Genes Genomes Genetics. 7(8). 2533–2544. 19 indexed citations

19.

Powell, Joseph E., Anjali K. Henders, Allan F. McRae, et al.. (2012). The Brisbane Systems Genetics Study: Genetical Genomics Meets Complex Trait Genetics. PLoS ONE. 7(4). e35430–e35430. 66 indexed citations

20.

Gordon, Lavinia, Jihoon E. Joo, Joseph E. Powell, et al.. (2012). Neonatal DNA methylation profile in human twins is specified by a complex interplay between intrauterine environmental and genetic factors, subject to tissue-specific influence. Genome Research. 22(8). 1395–1406. 180 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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