Peter G. Kennedy

16.7k total citations · 6 hit papers
112 papers, 11.2k citations indexed

About

Peter G. Kennedy is a scholar working on Plant Science, Insect Science and Nature and Landscape Conservation. According to data from OpenAlex, Peter G. Kennedy has authored 112 papers receiving a total of 11.2k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Plant Science, 67 papers in Insect Science and 34 papers in Nature and Landscape Conservation. Recurrent topics in Peter G. Kennedy's work include Mycorrhizal Fungi and Plant Interactions (89 papers), Forest Ecology and Biodiversity Studies (66 papers) and Ecology and Vegetation Dynamics Studies (34 papers). Peter G. Kennedy is often cited by papers focused on Mycorrhizal Fungi and Plant Interactions (89 papers), Forest Ecology and Biodiversity Studies (66 papers) and Ecology and Vegetation Dynamics Studies (34 papers). Peter G. Kennedy collaborates with scholars based in United States, Sweden and France. Peter G. Kennedy's co-authors include Leho Tedersoo, Kabir Peay, Nhu Nguyen, Jonathan S. Schilling, Thomas D. Bruns, Zewei Song, Sara Branco, Jon Menke, Scott T. Bates and Christopher W. Fernandez and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Peter G. Kennedy

105 papers receiving 11.0k citations

Hit Papers

FUNGuild: An open annotation tool for parsing fungal comm... 2015 2026 2018 2022 2015 2018 2016 2015 2021 1000 2.0k 3.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter G. Kennedy United States 39 7.9k 3.7k 2.8k 2.5k 2.4k 112 11.2k
Björn D. Lindahl Sweden 45 7.3k 0.9× 4.5k 1.2× 2.7k 1.0× 1.8k 0.7× 2.3k 0.9× 91 10.4k
François Buscot Germany 59 6.8k 0.9× 3.2k 0.9× 3.3k 1.2× 1.6k 0.6× 2.3k 0.9× 249 11.8k
Kabir Peay United States 43 6.2k 0.8× 3.3k 0.9× 1.8k 0.6× 1.9k 0.7× 2.4k 1.0× 98 8.5k
Mohammad Bahram Estonia 49 5.9k 0.7× 2.5k 0.7× 2.4k 0.8× 2.2k 0.9× 1.9k 0.8× 129 9.5k
Urmas Kõljalg Estonia 40 7.5k 0.9× 3.1k 0.8× 2.3k 0.8× 3.5k 1.4× 3.0k 1.2× 101 10.9k
Kessy Abarenkov Estonia 31 5.9k 0.7× 2.0k 0.5× 2.5k 0.9× 3.0k 1.2× 2.0k 0.8× 54 9.4k
Ari Jumpponen United States 56 6.0k 0.8× 1.6k 0.4× 2.7k 0.9× 2.8k 1.1× 2.8k 1.1× 143 10.3k
Andy F. S. Taylor United Kingdom 37 4.8k 0.6× 2.3k 0.6× 1.4k 0.5× 1.6k 0.6× 1.6k 0.7× 74 6.9k
Miranda M. Hart Canada 45 6.9k 0.9× 2.3k 0.6× 1.2k 0.4× 1.0k 0.4× 1.4k 0.6× 127 9.0k
Tesfaye Wubet Germany 44 3.6k 0.5× 2.0k 0.5× 2.2k 0.8× 1.1k 0.4× 1.4k 0.6× 124 7.0k

Countries citing papers authored by Peter G. Kennedy

Since Specialization
Citations

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

Fields of papers citing papers by Peter G. Kennedy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter G. Kennedy. 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 Peter G. Kennedy. The network helps show where Peter G. Kennedy may publish in the future.

Co-authorship network of co-authors of Peter G. Kennedy

This figure shows the co-authorship network connecting the top 25 collaborators of Peter G. Kennedy. A scholar is included among the top collaborators of Peter G. Kennedy 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 Peter G. Kennedy. Peter G. Kennedy 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.
Maillard, François, Vincent E. J. Jassey, Bowen Zhang, et al.. (2025). Hidden decomposers: Revisiting saprotrophy among soil protists and its potential impact on carbon cycling. Soil Biology and Biochemistry. 205. 109786–109786. 1 indexed citations
4.
Lofgren, Lotus, et al.. (2025). Diverse nitrogen acquisition strategies of conifer-associated ectomycorrhizal fungi shape unique responses to changing nitrogen regimes. Frontiers in Plant Science. 16. 1666003–1666003. 1 indexed citations
6.
Hu, Yuehua, Daniel J. Johnson, Zhenhua Sun, et al.. (2024). Selection dictates the distance pattern of similarity in trees and soil fungi across forest ecosystems. Fungal Diversity. 126(1). 407–425.
7.
Maillard, François, Yannick Colin, Marc Buée, et al.. (2023). A cryptically diverse microbial community drives organic matter decomposition in forests. Applied Soil Ecology. 193. 105148–105148. 8 indexed citations
8.
Fernandez, Christopher W., Artur Stefański, Raimundo Bermúdez, et al.. (2023). Climate change–induced stress disrupts ectomycorrhizal interaction networks at the boreal–temperate ecotone. Proceedings of the National Academy of Sciences. 120(34). e2221619120–e2221619120. 22 indexed citations
9.
Branco, Sara, Anna Bazzicalupo, Nhu Nguyen, et al.. (2023). Genomic determination of breeding systems and trans-specific evolution of HD MAT genes in suilloid fungi. Genetics. 224(2). 1 indexed citations
10.
Maillard, François, et al.. (2023). Defining a core microbial necrobiome associated with decomposing fungal necromass. FEMS Microbiology Ecology. 99(9). 13 indexed citations
11.
Xia, Mengxue, Vidya Suseela, Michael McCormack, Peter G. Kennedy, & Nishanth Tharayil. (2022). Common and lifestyle‐specific traits of mycorrhizal root metabolome reflect ecological strategies of plant–mycorrhizal interactions. Journal of Ecology. 111(3). 601–616. 6 indexed citations
12.
Maillard, François, Christopher W. Fernandez, Sunil Mundra, et al.. (2021). Warming drives a ‘hummockification’ of microbial communities associated with decomposing mycorrhizal fungal necromass in peatlands. New Phytologist. 234(6). 2032–2043. 23 indexed citations
14.
Beidler, Katilyn V., et al.. (2020). Substrate quality drives fungal necromass decay and decomposer community structure under contrasting vegetation types. Journal of Ecology. 108(5). 1845–1859. 48 indexed citations
15.
See, Craig R., et al.. (2020). Distinct carbon fractions drive a generalisable two‐pool model of fungal necromass decomposition. Functional Ecology. 35(3). 796–806. 28 indexed citations
16.
Lofgren, Lotus, Nhu Nguyen, Rytas Vilgalys, et al.. (2020). Comparative genomics reveals dynamic genome evolution in host specialist ectomycorrhizal fungi. New Phytologist. 230(2). 774–792. 52 indexed citations
17.
Kennedy, Peter G., et al.. (2020). Does fungal competitive ability explain host specificity or rarity in ectomycorrhizal symbioses?. PLoS ONE. 15(8). e0234099–e0234099. 9 indexed citations
18.
Fernandez, Christopher W., Craig R. See, & Peter G. Kennedy. (2019). Decelerated carbon cycling by ectomycorrhizal fungi is controlled by substrate quality and community composition. New Phytologist. 226(2). 569–582. 73 indexed citations
19.
Lofgren, Lotus, et al.. (2018). Genome‐based estimates of fungal rDNA copy number variation across phylogenetic scales and ecological lifestyles. Molecular Ecology. 28(4). 721–730. 149 indexed citations
20.
Kennedy, Peter G., et al.. (2014). Missing checkerboards? An absence of competitive signal in Alnus -associated ectomycorrhizal fungal communities. PeerJ. 2. e686–e686. 14 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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