Matteo Garbelotto

12.0k total citations · 1 hit paper
232 papers, 8.1k citations indexed

About

Matteo Garbelotto is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, Matteo Garbelotto has authored 232 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 215 papers in Plant Science, 167 papers in Cell Biology and 96 papers in Molecular Biology. Recurrent topics in Matteo Garbelotto's work include Plant Pathogens and Fungal Diseases (167 papers), Plant Pathogens and Resistance (120 papers) and Yeasts and Rust Fungi Studies (94 papers). Matteo Garbelotto is often cited by papers focused on Plant Pathogens and Fungal Diseases (167 papers), Plant Pathogens and Resistance (120 papers) and Yeasts and Rust Fungi Studies (94 papers). Matteo Garbelotto collaborates with scholars based in United States, Italy and France. Matteo Garbelotto's co-authors include David M. Rizzo, Paolo Gonthier, Thomas D. Bruns, Kabir Peay, Everett M. Hansen, J. M. Davidson, G. Nicolotti, Katherine J. Hayden, Sarah E. Bergemann and S. T. Koike and has published in prestigious journals such as PLoS ONE, Ecology and Applied and Environmental Microbiology.

In The Last Decade

Matteo Garbelotto

223 papers receiving 7.6k citations

Hit Papers

Phytophthora ramorum as the Cause of Extensive Mortality ... 2002 2026 2010 2018 2002 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matteo Garbelotto United States 44 6.8k 4.6k 2.7k 1.4k 1.3k 232 8.1k
Treena I. Burgess Australia 52 7.2k 1.1× 6.3k 1.4× 3.4k 1.3× 2.0k 1.5× 738 0.6× 241 9.1k
David M. Rizzo United States 42 5.3k 0.8× 3.2k 0.7× 2.0k 0.7× 1.5k 1.1× 880 0.7× 186 7.0k
Timothy Y. James United States 49 5.2k 0.8× 2.8k 0.6× 3.0k 1.1× 1.4k 1.1× 806 0.6× 167 9.1k
Bernard Slippers South Africa 53 7.6k 1.1× 7.6k 1.6× 3.4k 1.3× 3.5k 2.6× 1.9k 1.5× 286 10.8k
D. Lee Taylor United States 40 5.3k 0.8× 2.6k 0.6× 1.9k 0.7× 1.2k 0.9× 1.5k 1.2× 84 7.9k
Jolanda Roux South Africa 39 3.4k 0.5× 3.8k 0.8× 1.7k 0.6× 2.0k 1.5× 803 0.6× 224 5.1k
Brenda D. Wingfield South Africa 60 10.8k 1.6× 10.7k 2.3× 4.7k 1.7× 4.8k 3.6× 2.2k 1.7× 523 14.8k
Håvard Kauserud Norway 44 4.4k 0.6× 2.4k 0.5× 1.6k 0.6× 2.0k 1.4× 1.7k 1.3× 155 6.9k
Niklaus J. Grünwald United States 46 6.6k 1.0× 3.5k 0.8× 2.8k 1.0× 1.2k 0.9× 433 0.3× 190 9.2k
Jarkko Hantula Finland 37 3.2k 0.5× 1.7k 0.4× 1.0k 0.4× 1.5k 1.1× 817 0.6× 199 4.9k

Countries citing papers authored by Matteo Garbelotto

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Garbelotto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matteo Garbelotto. 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 Matteo Garbelotto. The network helps show where Matteo Garbelotto may publish in the future.

Co-authorship network of co-authors of Matteo Garbelotto

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Garbelotto. A scholar is included among the top collaborators of Matteo Garbelotto 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 Matteo Garbelotto. Matteo Garbelotto 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.
Frankel, Susan J., Matteo Garbelotto, Chris Jones, Niklaus J. Grünwald, & Robert C. Venette. (2025). The perils of naïve use of open-source data: A comment on “Spatiotemporal distribution of sudden oak death in the US and Europe”. Agricultural and Forest Meteorology. 368. 110553–110553. 1 indexed citations
2.
Miedaner, Thomas & Matteo Garbelotto. (2024). Human-mediated migration of plants, their pathogens and parasites. Journal of Plant Pathology. 106(2). 301–325. 8 indexed citations
3.
Garbelotto, Matteo, et al.. (2024). A portable fluorescence-based recombinase polymerase amplification assay for the detection of mal secco disease by Plenodomus tracheiphilus. Crop Protection. 184. 106825–106825. 5 indexed citations
4.
Danti, Roberto, et al.. (2024). Genome assembly of two California isolates of Seiridium cardinale (BM-138-000494 and BM-138-000479). Journal of Plant Pathology. 106(3). 1389–1392.
5.
Rocca, Gianni Della, et al.. (2024). Sequence and assembly of the genome of Seiridium unicorne, isolate CBS 538.82, causal agent of cypress canker disease. Journal of Plant Pathology. 106(3). 1385–1388. 1 indexed citations
7.
Elliott, Marianne, et al.. (2023). Citizen science can add value to Phytophthora monitoring: five case studies from western North America. Frontiers in Environmental Science. 11. 2 indexed citations
8.
Swanson, Heather Anne, Jens‐Christian Svenning, Robert Muscarella, et al.. (2021). History as grounds for interdisciplinarity: promoting sustainable woodlands via an integrative ecological and socio-cultural perspective. One Earth. 4(2). 226–237. 18 indexed citations
9.
Gonthier, Paolo, et al.. (2015). Selection processes in simple sequence repeats suggest a correlation with their genomic location: insights from a fungal model system. BMC Genomics. 16(1). 1107–1107. 15 indexed citations
10.
11.
Hüberli, D., Ian Smith, B. Dell, et al.. (2009). Australasia is at high risk of a Phytophthora ramorum epidemic. Murdoch Research Repository (Murdoch University). 1 indexed citations
12.
Amend, Anthony S., Sterling C. Keeley, & Matteo Garbelotto. (2009). Forest age correlates with fine-scale spatial structure of Matsutake mycorrhizas. Mycological Research. 113(5). 541–551. 21 indexed citations
13.
Baumgartner, Kendra, Lisa C. Grubisha, Phillip Fujiyoshi, Matteo Garbelotto, & Sarah E. Bergemann. (2009). Microsatellite markers for the diploid basidiomycete fungus Armillaria mellea. Molecular Ecology Resources. 9(3). 943–946. 13 indexed citations
14.
Garbelotto, Matteo. (2008). Molecular analysis to study invasions by forest pathogens: examples from Mediterranean ecosystems.. Phytopathologia Mediterranea. 47(3). 183–203. 20 indexed citations
15.
Garbelotto, Matteo, Paolo Gonthier, & G. Nicolotti. (2007). Ecological constraints limit fitness of fungal hybrids in the species complex Heterobasidion annosum.. Applied and Environmental Microbiology. 6106–6111. 1 indexed citations
16.
Garbelotto, Matteo & David M. Rizzo. (2005). A California-Based Chronological Review (1995-2004) of Research on Phytophora ramorum , the Causal Agent of Sudden Oak Death. Phytopathologia Mediterranea. 44(2). 127–143. 16 indexed citations
17.
Garbelotto, Matteo. (2003). Composting as a control for sudden oak death disease.. Biocycle. 44(2). 53–56. 16 indexed citations
18.
Hansen, Everett M., Paul Reeser, J. M. Davidson, et al.. (2003). Phytophthora nemorosa, a new species causing cankers and leaf blight of forest trees in California and Oregon, U.S.A. Mycotaxon. 88. 129–138. 57 indexed citations
19.
Garbelotto, Matteo, Jennifer M. Davidson, Kelly Ivors, et al.. (2003). Non-oak native plants are main hosts for sudden oak death pathogen in California - eScholarship. California Agriculture. 57(1). 2 indexed citations
20.
Garbelotto, Matteo, et al.. (1997). Heterokaryosis is not required for virulence of Heterobasidion annosum. Mycologia. 89(1). 92–102. 48 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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