Joshua Paul

1.9k total citations · 1 hit paper
7 papers, 1.2k citations indexed

About

Joshua Paul is a scholar working on Genetics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Joshua Paul has authored 7 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 3 papers in Molecular Biology and 2 papers in Artificial Intelligence. Recurrent topics in Joshua Paul's work include Genetic Associations and Epidemiology (4 papers), Genetic and phenotypic traits in livestock (3 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). Joshua Paul is often cited by papers focused on Genetic Associations and Epidemiology (4 papers), Genetic and phenotypic traits in livestock (3 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). Joshua Paul collaborates with scholars based in United States and Denmark. Joshua Paul's co-authors include Yun S. Song, Anders Albrechtsen, Rasmus Nielsen, Matthias Steinrücken, Robert L. Nussbaum, Stephen E. Lincoln, Rebecca Truty, Eric C. Olivares, Michael Kennemer and Swaroop Aradhya and has published in prestigious journals such as Bioinformatics, Nature Reviews Genetics and Genetics.

In The Last Decade

Joshua Paul

7 papers receiving 1.2k 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.

Genotype and SNP calling from next-generation sequencing data

2011 955 citations Rasmus Nielsen, Joshua Paul et al. Nature Reviews Genetics profile →

Peers

Joshua Paul

GENET

MB

PS

CR

ECOLO

Glenn Proctor United Kingdom

Matthew T. Maurano United States

Gregory G. Faust United States

Emanuele Raineri Spain

Klaudia Walter United Kingdom

Jorge Amigo Spain

Andreas Kähäri United Kingdom

Michael P. Strömberg United States

Joaquín Tárraga Spain

Hélène Auger France

Glenn Proctor United Kingdom

Joshua Paul

461 ×0.6

GENET

864 ×1.2

MB

221 ×1.2

PS

207 ×1.4

CR

52 ×0.6

ECOLO

Citations per year, relative to Joshua Paul Joshua Paul (= 1×) peers Glenn Proctor

Countries citing papers authored by Joshua Paul

Since Specialization

Citations

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

Fields of papers citing papers by Joshua Paul

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joshua Paul

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

All Works

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7 of 7 papers shown

1.

Lincoln, Stephen E., Rebecca Truty, Chiao‐Feng Lin, et al.. (2019). A Rigorous Interlaboratory Examination of the Need to Confirm Next-Generation Sequencing–Detected Variants with an Orthogonal Method in Clinical Genetic Testing. Journal of Molecular Diagnostics. 21(2). 318–329. 49 indexed citations

2.

Truty, Rebecca, Joshua Paul, Michael Kennemer, et al.. (2018). Prevalence and properties of intragenic copy-number variation in Mendelian disease genes. Genetics in Medicine. 21(1). 114–123. 114 indexed citations

3.

Steinrücken, Matthias, Joshua Paul, & Yun S. Song. (2012). A sequentially Markov conditional sampling distribution for structured populations with migration and recombination. Theoretical Population Biology. 87. 51–61. 33 indexed citations

4.

Paul, Joshua & Yun S. Song. (2012). Blockwise HMM computation for large-scale population genomic inference. Bioinformatics. 28(15). 2008–2015. 11 indexed citations

5.

Nielsen, Rasmus, Joshua Paul, Anders Albrechtsen, & Yun S. Song. (2011). Genotype and SNP calling from next-generation sequencing data. Nature Reviews Genetics. 12(6). 443–451. 955 indexed citations breakdown →

6.

Paul, Joshua, Matthias Steinrücken, & Yun S. Song. (2011). An Accurate Sequentially Markov Conditional Sampling Distribution for the Coalescent With Recombination. Genetics. 187(4). 1115–1128. 42 indexed citations

7.

Paul, Joshua & Yun S. Song. (2010). A Principled Approach to Deriving Approximate Conditional Sampling Distributions in Population Genetics Models with Recombination. Genetics. 186(1). 321–338. 24 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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