J. Gordon Burleigh
- Molecular Biology top 5%
- Ecology, Evolution, Behavior and Systematics top 0.5%
- Plant Science top 2%
- Genetics top 2%
- Paleontology top 2%
- Co-authors
- Pamela S. SoltisCharles D. BellMichael J. MooreOliver EulensteinSarah MathewsBrad R. RuhfelMatthew A. GitzendannerMukul S. Bansal
- Topics
- Genomics and Phylogenetic Studies (46 papers)Genetic diversity and population structure (34 papers)Plant and animal studies (19 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
- Molecular Biology 2.3k
- Ecology, Evolution, Behavior and Systematics 1.6k
- Plant Science 1.1k
- Genetics 1.1k
- Paleontology 365
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 of co-authors of J. Gordon Burleigh
This figure shows the co-authorship network connecting the top 25 collaborators of J. Gordon Burleigh. A scholar is included among the top collaborators of J. Gordon Burleigh 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 J. Gordon Burleigh. J. Gordon Burleigh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 5 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 10 | |
| 7 | 5 | |
| 8 | 61 | |
| 9 | 34 | |
| 10 | 13 | |
| 11 | 8 | |
| 12 | From algae to angiosperms–inferring the phylogeny of green plants (Viridiplantae) from 360 plastid genomesbreakdown → | 380 |
| 13 | 117 | |
| 14 | 120 | |
| 15 | 86 | |
| 16 | 4 | |
| 17 | 14 | |
| 18 | 56 | |
| 19 | 45 | |
| 20 | 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) and Plant and animal studies (19 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.