Joe Brown

431 total citations
6 papers, 144 citations indexed

About

Joe Brown is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Joe Brown has authored 6 papers receiving a total of 144 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Infectious Diseases. Recurrent topics in Joe Brown's work include Genomics and Phylogenetic Studies (2 papers), Viral gastroenteritis research and epidemiology (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). Joe Brown is often cited by papers focused on Genomics and Phylogenetic Studies (2 papers), Viral gastroenteritis research and epidemiology (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). Joe Brown collaborates with scholars based in United States, Australia and New Zealand. Joe Brown's co-authors include Aaron R. Quinlan, Brent S. Pedersen, Harriet Dashnow, D. Hunter Best, Martin Tristani‐Firouzi, Matt Velinder, Pınar Bayrak‐Toydemir, Rong Mao, Joshua D. Schiffman and Tatiana Tvrdik and has published in prestigious journals such as Genome biology, Genome Medicine and Genome Biology and Evolution.

In The Last Decade

Joe Brown

4 papers receiving 142 citations

Peers

Joe Brown
Maren Eckey Germany
Nirmal Vadgama United Kingdom
Adrian Westhaus Australia
Emilie Wilkie Australia
Katharina Hembach Switzerland
Valerie Gartner United States
Tim Ragan United States
Maren Eckey Germany
Joe Brown
Citations per year, relative to Joe Brown Joe Brown (= 1×) peers Maren Eckey

Countries citing papers authored by Joe Brown

Since Specialization
Citations

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

Fields of papers citing papers by Joe Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joe Brown

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

All Works

6 of 6 papers shown
3.
Goldstein, Stephen A., Joe Brown, Brent S. Pedersen, Aaron R. Quinlan, & Nels C. Elde. (2022). Extensive Recombination-driven Coronavirus Diversification Expands the Pool of Potential Pandemic Pathogens. Genome Biology and Evolution. 14(12). 24 indexed citations
4.
Dashnow, Harriet, Brent S. Pedersen, Joe Brown, et al.. (2022). STRling: a k-mer counting approach that detects short tandem repeat expansions at known and novel loci. Genome biology. 23(1). 257–257. 24 indexed citations
5.
Pedersen, Brent S., Joe Brown, Harriet Dashnow, et al.. (2021). Effective variant filtering and expected candidate variant yield in studies of rare human disease. npj Genomic Medicine. 6(1). 60–60. 60 indexed citations
6.
Pedersen, Brent S., Preetida J. Bhetariya, Joe Brown, et al.. (2020). Somalier: rapid relatedness estimation for cancer and germline studies using efficient genome sketches. Genome Medicine. 12(1). 62–62. 36 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

Rankless by CCL
2026