Matteo Riboni
Impact in
- Plant Science top 5%
- Plant Molecular Biology Research
- Plant Stress Responses and Tolerance
- Light effects on plants
- Plant nutrient uptake and metabolism
- Plant responses to water stress
-
- Plant Reproductive Biology
- Photosynthetic Processes and Mechanisms
- Plant Gene Expression Analysis
Papers in
-
- Plant Molecular Biology Research 6
- Plant Stress Responses and Tolerance 5
- Plant nutrient uptake and metabolism 3
- Light effects on plants 3
- Wheat and Barley Genetics and Pathology 2
- Genetics and Plant Breeding 2
- Plant Micronutrient Interactions and Effects 1
- Co-authors
- Massimo Galbiati (5 shared papers)Lucio Conti (5 shared papers)Chiara Tonelli (5 shared papers)Stephan M. Haefele (2 shared papers)John C. Harris (2 shared papers)Sergiy Lopato (2 shared papers)Yuan Li (2 shared papers)Natalia Bazanova (2 shared papers)
In The Last Decade
Matteo Riboni
12 papers receiving 798 citations
Peers
Comparison fields: 5 of 60
- Plant Science 700
- Molecular Biology 422
- Agronomy and Crop Science 39
- Ecology, Evolution, Behavior and Systematics 45
- Rheumatology 21
Countries citing papers authored by Matteo Riboni
This map shows the geographic impact of Matteo Riboni'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 Riboni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Riboni more than expected).
Fields of papers citing papers by Matteo Riboni
This network shows the impact of papers produced by Matteo Riboni. 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 Riboni. The network helps show where Matteo Riboni may publish in the future.
Co-authors
The 25 scholars most cited alongside Matteo Riboni, 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 | 2013 | 260 | |
| 2 | 2016 | 166 | |
| 3 | 2019 | 80 | |
| 4 | 2014 | 73 | |
| 5 | 2013 | 61 | |
| 6 | 2017 | 56 | |
| 7 | 2019 | 42 | |
| 8 | 2002 | 24 | |
| 9 | 2020 | 22 | |
| 10 | 2020 | 12 | |
| 11 | 2022 | 10 | |
| 12 | 2021 | 1 |
About Matteo Riboni
Matteo Riboni is a scholar working on Plant Science, Molecular Biology, Ecology, Evolution, Behavior and Systematics, Agronomy and Crop Science and Rheumatology, having authored 12 papers that have together received 807 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (6 papers), Plant Stress Responses and Tolerance (5 papers), Plant nutrient uptake and metabolism (3 papers), Light effects on plants (3 papers), Wheat and Barley Genetics and Pathology (2 papers), Genetics and Plant Breeding (2 papers), Crop Yield and Soil Fertility (1 paper) and Plant Micronutrient Interactions and Effects (1 paper). The work is most often cited by research in Plant Science (700 citations), Molecular Biology (422 citations), Agronomy and Crop Science (39 citations), Ecology, Evolution, Behavior and Systematics (45 citations) and Rheumatology (21 citations). Matteo Riboni has collaborated with scholars based in Australia, Italy and Germany. Frequent co-authors include Massimo Galbiati, Lucio Conti, Chiara Tonelli, Stephan M. Haefele, John C. Harris, Sergiy Lopato, Yuan Li, Natalia Bazanova, Mária Hrmová and Ute Baumann. Their work appears in journals such as Plant Biotechnology Journal, Journal of Experimental Botany, Plant Signaling & Behavior, Plant Direct and Functional Plant Biology.
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.