Joseph W. Brown
- Paleontology top 1%
- Evolution and Paleontology Studies 15
- Paleontology and Evolutionary Biology 4
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- Plant Diversity and Evolution 8
- Plant and animal studies 5
- Ecological Modeling top 1%
- Genetics top 1%
- Genetic diversity and population structure 17
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- Genomics and Phylogenetic Studies 15
- Plant and Fungal Species Descriptions 4
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- Wildlife Ecology and Conservation 4
- Co-authors
- Stephen A. SmithJoseph F. WalkerLuke J. HarmonMatthew W. PennellJonathan M. EastmanDavid J. WinterFrançois MichonneauYa Yang
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Joseph W. Brown
37 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Paleontology 1.0k
- Ecology, Evolution, Behavior and Systematics 2.7k
- Ecological Modeling 499
- Nature and Landscape Conservation 1.2k
- Genetics 1.5k
Countries citing papers authored by Joseph W. Brown
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
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
The 25 scholars most cited alongside Joseph W. Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2022 | 3 | |
| 3 | 2019 | 53 | |
| 4 | 2018 | 175 | |
| 5 | Quartet Sampling distinguishes lack of support from conflicting support in the green plant tree of lifebreakdown → | 2018 | 199 |
| 6 | 2017 | 54 | |
| 7 | 2017 | 66 | |
| 8 | 2017 | 19 | |
| 9 | 2017 | 206 | |
| 10 | rotl: an R package to interact with the Open Tree of Life databreakdown → | 2016 | 325 |
| 11 | 2016 | 29 | |
| 12 | 2015 | 26 | |
| 13 | 2015 | 45 | |
| 14 | Analysis of phylogenomic datasets reveals conflict, concordance, and gene duplications with examples from animals and plantsbreakdown → | 2015 | 348 |
| 15 | 2010 | 19 | |
| 16 | 2008 | 23 | |
| 17 | 2008 | 194 | |
| 18 | 2007 | 56 | |
| 19 | 2004 | 58 | |
| 20 | 2003 | 77 |
About Joseph W. Brown
Joseph W. Brown is a scholar working on Paleontology, Ecological Modeling and Genetics, having authored 37 papers that have together received 5.3k indexed citations. Recurring topics across this work include Genetic diversity and population structure (17 papers), Genomics and Phylogenetic Studies (15 papers), Evolution and Paleontology Studies (15 papers), Plant Diversity and Evolution (8 papers), Plant and animal studies (5 papers), Paleontology and Evolutionary Biology (4 papers), Plant and Fungal Species Descriptions (4 papers) and Wildlife Ecology and Conservation (4 papers). The work is most often cited by research in Paleontology (1.0k citations), Ecology, Evolution, Behavior and Systematics (2.7k citations) and Ecological Modeling (499 citations). Joseph W. Brown has collaborated with scholars based in United States, United Kingdom and Canada. Frequent 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. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.
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.