Joseph W. Brown

8.4k total citations · 6 hit papers
37 papers, 5.3k citations indexed

About

Joseph W. Brown is a scholar working on Molecular Biology, Genetics and Paleontology. According to data from OpenAlex, Joseph W. Brown has authored 37 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 18 papers in Genetics and 16 papers in Paleontology. Recurrent topics in Joseph W. Brown's work include Genetic diversity and population structure (17 papers), Genomics and Phylogenetic Studies (15 papers) and Evolution and Paleontology Studies (15 papers). Joseph W. Brown is often cited by papers focused on Genetic diversity and population structure (17 papers), Genomics and Phylogenetic Studies (15 papers) and Evolution and Paleontology Studies (15 papers). Joseph W. Brown collaborates with scholars based in United States, United Kingdom and Canada. Joseph W. Brown's co-authors include Stephen A. Smith, Joseph F. Walker, Luke J. Harmon, Matthew W. Pennell, Jonathan M. Eastman, David J. Winter, François Michonneau, Ya Yang, Michael J. Moore and Graham J. Slater and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Joseph W. Brown

37 papers receiving 5.3k citations

Hit Papers

geiger v2.0: an expanded suite of methods for fitting mac... 2014 2026 2018 2022 2014 2014 2018 2015 2016 250 500 750

Peers

Joseph W. Brown
Brian C. O’Meara United States
Andrew L. Hipp United States
Brent D. Mishler United States
Paul B. Frandsen United States
Lyn G. Cook Australia
Beryl B. Simpson United States
Richard H. Ree United States
Brian C. O’Meara United States
Joseph W. Brown
Citations per year, relative to Joseph W. Brown Joseph W. Brown (= 1×) peers Brian C. O’Meara

Countries citing papers authored by Joseph W. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Joseph W. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph W. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph W. Brown. A scholar is included among the top collaborators of Joseph W. 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 Joseph W. Brown. Joseph W. Brown 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.
Claramunt, Santiago, Catherine Sheard, Joseph W. Brown, et al.. (2025). A new time tree of birds reveals the interplay between dispersal, geographic range size, and diversification. Current Biology. 35(16). 3883–3895.e4. 2 indexed citations
2.
Paradis, Emmanuel, Santiago Claramunt, Joseph W. Brown, & Klaus Schliep. (2022). Confidence intervals in molecular dating by maximum likelihood. Molecular Phylogenetics and Evolution. 178. 107652–107652. 3 indexed citations
3.
Smith, Stephen A., Nathanael Walker‐Hale, Joseph F. Walker, & Joseph W. Brown. (2019). Phylogenetic Conflicts, Combinability, and Deep Phylogenomics in Plants. Systematic Biology. 69(3). 579–592. 53 indexed citations
4.
Smith, Stephen A., Joseph W. Brown, & Joseph F. Walker. (2018). So many genes, so little time: A practical approach to divergence-time estimation in the genomic era. PLoS ONE. 13(5). e0197433–e0197433. 175 indexed citations
5.
Pease, James B., Joseph W. Brown, Joseph F. Walker, Cody E. Hinchliff, & Stephen A. Smith. (2018). Quartet Sampling distinguishes lack of support from conflicting support in the green plant tree of life. American Journal of Botany. 105(3). 385–403. 199 indexed citations breakdown →
6.
Smith, Stephen A., Joseph W. Brown, Ya Yang, et al.. (2017). Disparity, diversity, and duplications in the Caryophyllales. New Phytologist. 217(2). 836–854. 54 indexed citations
7.
Brown, Joseph W. & Stephen A. Smith. (2017). The Past Sure is Tense: On Interpreting Phylogenetic Divergence Time Estimates. Systematic Biology. 67(2). 340–353. 66 indexed citations
8.
Brown, Joseph W., Ning Wang, & Stephen A. Smith. (2017). The development of scientific consensus: Analyzing conflict and concordance among avian phylogenies. Molecular Phylogenetics and Evolution. 116. 69–77. 19 indexed citations
9.
Brown, Joseph W., Joseph F. Walker, & Stephen A. Smith. (2017). Phyx: phylogenetic tools for unix. Bioinformatics. 33(12). 1886–1888. 206 indexed citations
10.
Michonneau, François, Joseph W. Brown, & David J. Winter. (2016). rotl: an R package to interact with the Open Tree of Life data. Methods in Ecology and Evolution. 7(12). 1476–1481. 325 indexed citations breakdown →
11.
Johnson, Jeff, Joseph W. Brown, Jérôme Fuchs, & David P. Mindell. (2016). Multi-locus phylogenetic inference among New World Vultures (Aves: Cathartidae). Molecular Phylogenetics and Evolution. 105. 193–199. 29 indexed citations
12.
McTavish, Emily Jane, Cody E. Hinchliff, Joseph W. Brown, et al.. (2015). Phylesystem: a git-based data store for community-curated phylogenetic estimates. Bioinformatics. 31(17). 2794–2800. 26 indexed citations
13.
Stein, Robert W., Joseph W. Brown, & Arne Ø. Mooers. (2015). A molecular genetic time scale demonstrates Cretaceous origins and multiple diversification rate shifts within the order Galliformes (Aves). Molecular Phylogenetics and Evolution. 92. 155–164. 45 indexed citations
14.
Smith, Stephen A., Michael J. Moore, Joseph W. Brown, & Ya Yang. (2015). Analysis of phylogenomic datasets reveals conflict, concordance, and gene duplications with examples from animals and plants. BMC Evolutionary Biology. 15(1). 150–150. 348 indexed citations breakdown →
15.
Johnson, Jeff, Sandra L. Talbot, George K. Sage, et al.. (2010). The Use of Genetics for the Management of a Recovering Population: Temporal Assessment of Migratory Peregrine Falcons in North America. PLoS ONE. 5(11). e14042–e14042. 19 indexed citations
16.
Brown, Joseph W. & Peter Shaw. (2008). The Role of the Plant Nucleolus in Pre-mRNA Processing. Current topics in microbiology and immunology. 326. 291–311. 23 indexed citations
17.
Brown, Joseph W., Joshua S. Rest, Jaime García‐Moreno, Michael D. Sorenson, & David P. Mindell. (2008). Strong mitochondrial DNA support for a Cretaceous origin of modern avian lineages. BMC Biology. 6(1). 6–6. 194 indexed citations
18.
Brown, Joseph W., Peter J. Van Coeverden de Groot, Tim P. Birt, et al.. (2007). Appraisal of the consequences of the DDT‐induced bottleneck on the level and geographic distribution of neutral genetic variation in Canadian peregrine falcons,Falco peregrinus. Molecular Ecology. 16(2). 327–343. 56 indexed citations
19.
Brown, Joseph W.. (2004). Arabidopsis nucleolar protein database (AtNoPDB). Nucleic Acids Research. 33(Database issue). D633–D636. 58 indexed citations
20.
Brown, Joseph W.. (2003). Plant snoRNA database. Nucleic Acids Research. 31(1). 432–435. 77 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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