Joseph K. Pickrell

24.2k total citations · 8 hit papers
52 papers, 9.3k citations indexed

About

Joseph K. Pickrell is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Joseph K. Pickrell has authored 52 papers receiving a total of 9.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Genetics, 25 papers in Molecular Biology and 9 papers in Cancer Research. Recurrent topics in Joseph K. Pickrell's work include Genetic Associations and Epidemiology (15 papers), Genetic Mapping and Diversity in Plants and Animals (12 papers) and Genetic and phenotypic traits in livestock (10 papers). Joseph K. Pickrell is often cited by papers focused on Genetic Associations and Epidemiology (15 papers), Genetic Mapping and Diversity in Plants and Animals (12 papers) and Genetic and phenotypic traits in livestock (10 papers). Joseph K. Pickrell collaborates with scholars based in United States, France and United Kingdom. Joseph K. Pickrell's co-authors include Jonathan K. Pritchard, Yoav Gilad, Athma A. Pai, Graham Coop, Tomaz Berisa, Jacob F. Degner, Jimmy Z. Liu, John C. Marioni, Matthew Stephens and Daniel J. Gaffney and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Joseph K. Pickrell

49 papers receiving 9.1k citations

Hit Papers

5 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.

Inference of Population Splits and Mixtures from Genome-Wide Allele Frequency Data

2012 1.7k citations Joseph K. Pickrell, Jonathan K. Pritchard PLoS Genetics profile →
Understanding mechanisms underlying human gene expression variation with RNA sequencing

2010 908 citations Joseph K. Pickrell, John C. Marioni et al. Nature profile →
Detection and interpretation of shared genetic influences on 42 human traits

2016 663 citations Joseph K. Pickrell, Tomaz Berisa et al. Nature Genetics profile →
The Genetics of Human Adaptation: Hard Sweeps, Soft Sweeps, and Polygenic Adaptation

2010 655 citations Jonathan K. Pritchard, Joseph K. Pickrell et al. profile →
DNA methylation patterns associate with genetic and gene expression variation in HapMap cell lines

2011 633 citations Athma A. Pai, Joseph K. Pickrell et al. profile →
Signals of recent positive selection in a worldwide sample of human populations

2009 535 citations Joseph K. Pickrell, Graham Coop et al. Genome Research profile →
DNase I sensitivity QTLs are a major determinant of human expression variation

2012 429 citations Jacob F. Degner, Athma A. Pai et al. Nature profile →
Inferring Admixture Histories of Human Populations Using Linkage Disequilibrium

2013 272 citations Po‐Ru Loh, Mark Lipson et al. Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Joseph K. Pickrell United States	31	5.7k	4.2k	775	624	601	52	9.3k
Anna Di Rienzo United States	48	5.4k 1.0×	3.2k 0.8×	617 0.8×	512 0.8×	798 1.3×	118	9.4k
Joshua M. Akey United States	49	7.0k 1.2×	4.8k 1.1×	731 0.9×	544 0.9×	390 0.6×	111	11.4k
Nick Patterson United States	33	6.1k 1.1×	3.8k 0.9×	445 0.6×	304 0.5×	507 0.8×	46	10.1k
Sarah A. Tishkoff United States	52	5.9k 1.0×	3.0k 0.7×	521 0.7×	572 0.9×	303 0.5×	112	10.6k
Daniel G. Bradley Ireland	65	9.0k 1.6×	2.8k 0.7×	858 1.1×	414 0.7×	1.2k 1.9×	172	13.5k
Nick Patterson United States	25	5.7k 1.0×	2.3k 0.6×	354 0.5×	304 0.5×	557 0.9×	37	8.4k
Lynn B. Jorde United States	68	7.7k 1.4×	5.9k 1.4×	915 1.2×	735 1.2×	496 0.8×	222	15.2k
Ryk Ward United States	46	7.9k 1.4×	4.0k 1.0×	553 0.7×	875 1.4×	919 1.5×	79	14.5k
Martin Kircher Germany	38	6.4k 1.1×	9.0k 2.2×	2.1k 2.6×	691 1.1×	1.1k 1.8×	71	15.1k
John Novembre United States	41	8.3k 1.5×	2.8k 0.7×	568 0.7×	409 0.7×	1.6k 2.7×	85	11.9k

Countries citing papers authored by Joseph K. Pickrell

Since Specialization

Citations

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

Fields of papers citing papers by Joseph K. Pickrell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph K. Pickrell

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph K. Pickrell. A scholar is included among the top collaborators of Joseph K. Pickrell 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 K. Pickrell. Joseph K. Pickrell 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

Armstrong, Ellie E., Katherine A. Solari, Bernard Kim, et al.. (2024). Unraveling the genomic diversity and admixture history of captive tigers in the United States. Proceedings of the National Academy of Sciences. 121(39). e2402924121–e2402924121. 3 indexed citations

Li, Jeremiah H., et al.. (2023). Low-pass sequencing plus imputation using avidity sequencing displays comparable imputation accuracy to sequencing by synthesis while reducing duplicates. G3 Genes Genomes Genetics. 14(2). 5 indexed citations

Flagel, Lex, et al.. (2023). Variance component estimates, phenotypic characterization, and genetic evaluation of bovine congestive heart failure in commercial feeder cattle. Frontiers in Genetics. 14. 1148301–1148301. 3 indexed citations

Siddique, Azeem, Nils Homer, Phillip Ordoukhanian, et al.. (2020). Next Generation Genotyping (NGG) Using Riptide™. Performance Specifications when Best Practices are Applied. Journal of Biomolecular Techniques JBT. 31. 1 indexed citations

Racimo, Fernando, Jeremy J. Berg, & Joseph K. Pickrell. (2018). Detecting Polygenic Adaptation in Admixture Graphs. Genetics. 208(4). 1565–1584. 74 indexed citations

Gordon, Assaf, et al.. (2018). DNA.Land is a framework to collect genomes and phenomes in the era of abundant genetic information. Nature Genetics. 50(2). 160–165. 14 indexed citations

Chen, Chen, Hongjian Qi, Yufeng Shen, Joseph K. Pickrell, & Molly Przeworski. (2017). Contrasting Determinants of Mutation Rates in Germline and Soma. Genetics. 207(1). 255–267. 20 indexed citations

Amorim, Carlos Eduardo G., Ziyue Gao, Yuval B. Simons, et al.. (2017). The population genetics of human disease: The case of recessive, lethal mutations. PLoS Genetics. 13(9). e1006915–e1006915. 31 indexed citations

Berisa, Tomaz & Joseph K. Pickrell. (2015). Approximately independent linkage disequilibrium blocks in human populations. Bioinformatics. 32(2). 283–285. 272 indexed citations

10.

Pickrell, Joseph K.. (2014). Joint Analysis of Functional Genomic Data and Genome-wide Association Studies of 18 Human Traits. The American Journal of Human Genetics. 95(1). 126–126. 5 indexed citations

11.

Brandt, Guido, Wolfgang Haak, Christina Adler, et al.. (2013). Ancient DNA Reveals Key Stages in the Formation of Central European Mitochondrial Genetic Diversity. Science. 342(6155). 257–261. 196 indexed citations

12.

Loh, Po‐Ru, Mark Lipson, Nick Patterson, et al.. (2012). Inference of Admixture Parameters in Human Populations Using Weighted Linkage Disequilibrium. arXiv (Cornell University). 2 indexed citations

13.

Degner, Jacob F., Athma A. Pai, Roger Piqué-Regi, et al.. (2012). DNase I sensitivity QTLs are a major determinant of human expression variation. Nature. 482(7385). 390–394. 429 indexed citations breakdown →

14.

Pickrell, Joseph K. & Jonathan K. Pritchard. (2012). Inference of Population Splits and Mixtures from Genome-Wide Allele Frequency Data. PLoS Genetics. 8(11). e1002967–e1002967. 1675 indexed citations breakdown →

15.

Veyrieras, Jean‐Baptiste, Daniel J. Gaffney, Joseph K. Pickrell, et al.. (2012). Exon-Specific QTLs Skew the Inferred Distribution of Expression QTLs Detected Using Gene Expression Array Data. PLoS ONE. 7(2). e30629–e30629. 16 indexed citations

16.

Perry, George H., Páll Melsted, John C. Marioni, et al.. (2011). Comparative RNA sequencing reveals substantial genetic variation in endangered primates. Genome Research. 22(4). 602–610. 102 indexed citations

17.

Coop, Graham, Joseph K. Pickrell, John Novembre, et al.. (2009). The Role of Geography in Human Adaptation. PLoS Genetics. 5(6). e1000500–e1000500. 293 indexed citations

18.

Pickrell, Joseph K., Graham Coop, John Novembre, et al.. (2009). Signals of recent positive selection in a worldwide sample of human populations. Genome Research. 19(5). 826–837. 535 indexed citations breakdown →

19.

Perry, George H. & Joseph K. Pickrell. (2009). A rod cell marker of nocturnal ancestry. Journal of Human Evolution. 58(2). 207–210. 6 indexed citations

20.

Pickrell, Joseph K., et al.. (2003). Identification of a Novel “Chromosome Scaffold” Protein That Associates with Tec Elements Undergoing En Masse Elimination inEuplotes crassus. Molecular Biology of the Cell. 14(2). 571–584. 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.

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