Matias Pasquali
- Cell Biology top 1%
- Plant Pathogens and Fungal Diseases 52
- Plant Science top 1%
- Mycotoxins in Agriculture and Food 54
- Plant Disease Resistance and Genetics 20
- Plant-Microbe Interactions and Immunity 12
- Wheat and Barley Genetics and Pathology 11
- Mycorrhizal Fungi and Plant Interactions 7
- Plant Pathogens and Resistance 6
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- Fungal Plant Pathogen Control 5
- Pharmacology top 10%
- Food Science top 10%
Matias Pasquali
73 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 103
- Cell Biology 1.2k
- Plant Science 1.7k
- Ecology, Evolution, Behavior and Systematics 189
- Pharmacology 121
- Food Science 120
Countries citing papers authored by Matias Pasquali
This map shows the geographic impact of Matias Pasquali'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 Matias Pasquali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matias Pasquali more than expected).
Fields of papers citing papers by Matias Pasquali
This network shows the impact of papers produced by Matias Pasquali. 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 Matias Pasquali. The network helps show where Matias Pasquali may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matias Pasquali, 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 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2022 | 21 | |
| 5 | 2022 | 7 | |
| 6 | 2022 | 4 | |
| 7 | 2020 | 9 | |
| 8 | 2019 | 1 | |
| 9 | 2017 | 12 | |
| 10 | 2016 | 14 | |
| 11 | 2015 | 7 | |
| 12 | Validation of a Quick PCR Method Suitable for Direct Sequencing: Identification of Fusarium Fungal Species and Chemotypes for Preventive Approaches in Food Safety | 2014 | 7 |
| 13 | 2014 | 62 | |
| 14 | 2011 | 18 | |
| 15 | Studies on the sensitivity of Fusarium graminearum towards trifloxystrobin. | 2010 | 1 |
| 16 | 2010 | 43 | |
| 17 | 2010 | 84 | |
| 18 | 2009 | 225 | |
| 19 | 2008 | 14 | |
| 20 | Fusarium oxysporum f. sp. lactucae on lettuce. Vegetative compatibility and RAPD analysis [Lactuca sativa L. - Random Amplified Polymorphic DNA - Italy] | 2003 | 2 |
About Matias Pasquali
Matias Pasquali is a scholar working on Cell Biology, Plant Science and Ecology, Evolution, Behavior and Systematics, having authored 76 papers that have together received 1.9k indexed citations. Recurring topics across this work include Mycotoxins in Agriculture and Food (54 papers), Plant Pathogens and Fungal Diseases (52 papers), Plant Disease Resistance and Genetics (20 papers), Plant-Microbe Interactions and Immunity (12 papers), Wheat and Barley Genetics and Pathology (11 papers), Mycorrhizal Fungi and Plant Interactions (7 papers), Plant Pathogens and Resistance (6 papers) and Fungal Plant Pathogen Control (5 papers). The work is most often cited by research in Cell Biology (1.2k citations), Plant Science (1.7k citations) and Ecology, Evolution, Behavior and Systematics (189 citations). Matias Pasquali has collaborated with scholars based in Italy, Luxembourg and United States. Frequent co-authors include Quirico Migheli, Marco Beyer, Virgilio Balmas, Harold Kistler, Lucien Hoffmann, Barbara Scherm, M. L. Gullino, G Pani, Giovanna Delogu and Torsten Bohn. Their work appears in journals such as International Journal of Food Microbiology, Toxins, Frontiers in Microbiology, Molecular Plant Pathology and Journal of Visualized Experiments.
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.