J. Gordon Burleigh
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- Plant and animal studies 19
- Plant Diversity and Evolution 18
- Paleontology top 2%
- Genetics top 2%
- Genetic diversity and population structure 34
- Ecological Modeling top 5%
- Species Distribution and Climate Change 8
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies 46
- Plant and Fungal Species Descriptions 9
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- Chromosomal and Genetic Variations 13
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- Ecology and Vegetation Dynamics Studies 11
- Co-authors
- Pamela S. SoltisCharles D. BellMichael J. MooreOliver EulensteinSarah MathewsBrad R. RuhfelMatthew A. GitzendannerMukul S. Bansal
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)Bioinformatics (3 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
J. Gordon Burleigh
84 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Ecology, Evolution, Behavior and Systematics 1.6k
- Paleontology 365
- Genetics 1.1k
- Ecological Modeling 154
- Molecular Biology 2.3k
Countries citing papers authored by J. Gordon Burleigh
This map shows the geographic impact of J. Gordon Burleigh'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 J. Gordon Burleigh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Gordon Burleigh more than expected).
Fields of papers citing papers by J. Gordon Burleigh
This network shows the impact of papers produced by J. Gordon Burleigh. 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 J. Gordon Burleigh. The network helps show where J. Gordon Burleigh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside J. Gordon Burleigh, 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 | 3 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 10 | |
| 7 | 2018 | 5 | |
| 8 | 2016 | 61 | |
| 9 | 2016 | 34 | |
| 10 | 2016 | 13 | |
| 11 | 2015 | 8 | |
| 12 | From algae to angiosperms–inferring the phylogeny of green plants (Viridiplantae) from 360 plastid genomesbreakdown → | 2014 | 380 |
| 13 | 2014 | 117 | |
| 14 | 2014 | 120 | |
| 15 | 2013 | 86 | |
| 16 | 2012 | 4 | |
| 17 | 2012 | 14 | |
| 18 | 2012 | 56 | |
| 19 | 2010 | 45 | |
| 20 | 2009 | 61 |
About J. Gordon Burleigh
J. Gordon Burleigh is a scholar working on Ecological Modeling, Ecology, Evolution, Behavior and Systematics and Genetics, having authored 84 papers that have together received 3.6k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (46 papers), Genetic diversity and population structure (34 papers), Plant and animal studies (19 papers), Plant Diversity and Evolution (18 papers), Chromosomal and Genetic Variations (13 papers), Ecology and Vegetation Dynamics Studies (11 papers), Plant and Fungal Species Descriptions (9 papers) and Species Distribution and Climate Change (8 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (1.6k citations), Paleontology (365 citations) and Genetics (1.1k citations). J. Gordon Burleigh has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Pamela S. Soltis, Charles D. Bell, Michael J. Moore, Oliver Eulenstein, Sarah Mathews, Brad R. Ruhfel, Matthew A. Gitzendanner, Mukul S. Bansal, George P. Tiley and Edward L. Braun. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Bioinformatics.
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.