David J. Burke

4.6k total citations · 1 hit paper
87 papers, 3.7k citations indexed

About

David J. Burke is a scholar working on Plant Science, Ecology and Insect Science. According to data from OpenAlex, David J. Burke has authored 87 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Plant Science, 24 papers in Ecology and 24 papers in Insect Science. Recurrent topics in David J. Burke's work include Mycorrhizal Fungi and Plant Interactions (38 papers), Forest Ecology and Biodiversity Studies (22 papers) and Ecology and Vegetation Dynamics Studies (15 papers). David J. Burke is often cited by papers focused on Mycorrhizal Fungi and Plant Interactions (38 papers), Forest Ecology and Biodiversity Studies (22 papers) and Ecology and Vegetation Dynamics Studies (15 papers). David J. Burke collaborates with scholars based in United States, Canada and Thailand. David J. Burke's co-authors include R.M. Krauss, Charlotte R. Hewins, Kurt A. Smemo, Jerome Schaack, Sarah R. Carrino‐Kyker, S Sharp, Dieter Söll, Jared L. DeForest, Dittmar Hahn and Jean H. Burns and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

David J. Burke

82 papers receiving 3.5k citations

Hit Papers

Identification of multiple subclasses of plasma low densi... 1982 2026 1996 2011 1982 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Identification of multiple subclasses of plasma low density lipoproteins in normal humans.
    1982 884 citations David J. Burke et al. profile →

Peers

David J. Burke
Matthieu Barret France
Anders Johansen Denmark
Carlos Alberto Martínez Brazil
Huiying Liu China
Patrick M. Finnegan Australia
Jeffery L. Smith United States
Shanshan Qi China
Kristen M. DeAngelis United States
Rupesh Chaturvedi India
Cécile Martin France
Matthieu Barret France
David J. Burke
Citations per year, relative to David J. Burke David J. Burke (= 1×) peers Matthieu Barret

Countries citing papers authored by David J. Burke

Since Specialization
Citations

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

Fields of papers citing papers by David J. Burke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Burke. 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 David J. Burke. The network helps show where David J. Burke may publish in the future.

Co-authorship network of co-authors of David J. Burke

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Burke. A scholar is included among the top collaborators of David J. Burke 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 David J. Burke. David J. Burke 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.
Carrino‐Kyker, Sarah R., et al.. (2025). Phosphorous fertilization and soil pH affect the growth of deciduous trees in a temperate hardwood forest. Ecosphere. 16(2). 1 indexed citations
2.
Kantor, Mihail R., et al.. (2025). Cellular Dynamics of Beech Leaf Disease on Fagus sylvatica. Plant Pathology. 74(5). 1389–1406.
3.
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Burke, David J., et al.. (2025). Harnessing stemflow as a diagnostic tool for canopy disease detection and monitoring. Forest Ecology and Management. 585. 122674–122674.
5.
Burke, David J., et al.. (2025). Fagus grandifolia growth and mortality a decade after the emergence of Beech leaf disease. Trees Forests and People. 20. 100836–100836.
6.
Carrino‐Kyker, Sarah R., et al.. (2024). Soil microbial communities alter resource allocation in Fagus grandifolia when challenged with a pathogen. Symbiosis. 92(2). 231–244. 1 indexed citations
7.
Loyd, Andrew L., Richard S. Cowles, J. A. LaMondia, et al.. (2024). Exploring Novel Management Methods for Beech Leaf Disease, an Emerging Threat to Forests and Landscapes1. Journal of Environmental Horticulture. 42(1). 1–13. 2 indexed citations
8.
Loyd, Andrew L., et al.. (2023). Beech Leaf Disease Severity Affects Ectomycorrhizal Colonization and Fungal Taxa Composition. Journal of Fungi. 9(4). 497–497. 5 indexed citations
9.
Burke, David J., et al.. (2023). Development of Primers Specific for Detection of Litylenchus crenatae, the Causal Agent of Beech Leaf Disease, in Plant Tissue. Plant Disease. 107(11). 3354–3361. 3 indexed citations
10.
Burke, David J., et al.. (2023). Response of American Toads and Their Invertebrate Prey to Experimentally Elevated Soil pH. Ichthyology & Herpetology. 111(1). 128–137. 1 indexed citations
11.
Hewins, Charlotte R., et al.. (2023). Warming‐induced functional shifts in the decomposer community interact with plant community compositional shifts to impact litter decomposition. Functional Ecology. 37(10). 2583–2597. 7 indexed citations
12.
Carrino‐Kyker, Sarah R., et al.. (2023). Interannual variation in spring weather conditions as a driver of spring wildflower coverage: a 15-year perspective from an old-growth temperate forest. AoB Plants. 15(6). plad078–plad078. 1 indexed citations
13.
Burke, David J., Charlotte R. Hewins, & Sarah R. Carrino‐Kyker. (2023). Increases in soil pH and P availability in a temperate hardwood forest affect mycorrhizal colonization and nutrient content of the herbaceous wildflower Podophyllum peltatum (Mayapple)1. The Journal of the Torrey Botanical Society. 150(2). 2 indexed citations
14.
15.
Reed, Sharon E., Qing Yu, David J. Burke, et al.. (2020). Foliar nematode, Litylenchus crenatae ssp. mccannii, population dynamics in leaves and buds of beech leaf disease‐affected trees in Canada and the US. Forest Pathology. 50(3). 21 indexed citations
16.
Carrino‐Kyker, Sarah R., Laurel A. Kluber, Kaitlin P. Coyle, et al.. (2016). Mycorrhizal fungal communities respond to experimental elevation of soil pH and P availability in temperate hardwood forests. FEMS Microbiology Ecology. 92(3). fiw024–fiw024. 76 indexed citations
17.
Burke, David J., Susie Dunham, & Annette M. Kretzer. (2008). Molecular analysis of bacterial communities associated with the roots of Douglas fir (Pseudotsuga menziesii) colonized by different ectomycorrhizal fungi. FEMS Microbiology Ecology. 65(2). 299–309. 52 indexed citations
18.
Burke, David J., et al.. (2007). Fate and effects of heavy metals in salt marsh sediments. Environmental Pollution. 149(1). 79–91. 29 indexed citations
19.
Burke, David J., et al.. (2007). Uptake and Translocation of Heavy Metals in Salt Marsh Sediments by Spartina patens. Bulletin of Environmental Contamination and Toxicology. 78(3-4). 275–279. 2 indexed citations
20.
Weis, Peddrick, Lisamarie Windham, David J. Burke, & Judith S. Weis. (2002). Release into the environment of metals by two vascular salt marsh plants. Marine Environmental Research. 54(3-5). 325–329. 46 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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