G. Tamietti
- Plant Science top 5%
- Cell Biology top 5%
- Molecular Biology
- Endocrinology top 5%
- Ecology, Evolution, Behavior and Systematics
- Co-authors
- Danila ValentinoA. MattaFrancesca CardinaleIvan VisentinS GentileClaude AlabouvettePetr KarlovskýFrancesca Vanara
- Topics
- Plant Pathogens and Fungal Diseases (21 papers)Plant-Microbe Interactions and Immunity (9 papers)Plant and Fungal Interactions Research (7 papers)
In The Last Decade
G. Tamietti
40 papers receiving 618 citations
Peers
Comparison fields: 5 of 54
- Plant Science 588
- Cell Biology 359
- Molecular Biology 123
- Endocrinology 107
- Ecology, Evolution, Behavior and Systematics 49
Countries citing papers authored by G. Tamietti
This map shows the geographic impact of G. Tamietti'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 G. Tamietti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Tamietti more than expected).
Fields of papers citing papers by G. Tamietti
This network shows the impact of papers produced by G. Tamietti. 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 G. Tamietti. The network helps show where G. Tamietti may publish in the future.
Co-authorship network of co-authors of G. Tamietti
This figure shows the co-authorship network connecting the top 25 collaborators of G. Tamietti. A scholar is included among the top collaborators of G. Tamietti 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 G. Tamietti. G. Tamietti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 65 | |
| 3 | 7 | |
| 4 | 23 | |
| 5 | 2 | |
| 6 | 27 | |
| 7 | 41 | |
| 8 | Role and importance of different infection pathways on the final Fusarium infectionand fumonisin contamination in maize | 3 |
| 9 | 4 | |
| 10 | 35 | |
| 11 | 11 | |
| 12 | PCR detection of fumonisin-producing Fusarium isolates from Piedmont | 1 |
| 13 | 8 | |
| 14 | 5 | |
| 15 | Il collasso della fragola in Piemonte. | 2 |
| 16 | Il collasso della fragola in Piemonte | 1 |
| 17 | A semi-selective medium for the isolation of Pyrenochaeta lycopersici from soil. | 1 |
| 18 | L'impiego del calore secco nel risanamento dei semi di fagiolo infetti da Pseudomonas phaseolicola | 1 |
| 19 | Decay of carrots during field storage in winter. | 1 |
| 20 | Aetiology and certain epidemiological aspects of bacterial soft rot of leeks in Liguria. | 3 |
About G. Tamietti
G. Tamietti is a scholar working on Endocrinology, Cell Biology and Plant Science, having authored 40 papers that have together received 676 indexed citations. Recurring topics across this work include Plant Pathogens and Fungal Diseases (21 papers), Plant-Microbe Interactions and Immunity (9 papers) and Plant and Fungal Interactions Research (7 papers). The work is most often cited by research in Cell Biology (359 citations), Endocrinology (107 citations) and Plant Science (588 citations). G. Tamietti has collaborated with scholars based in Italy, France and Germany. Frequent co-authors include Danila Valentino, A. Matta, Francesca Cardinale, Ivan Visentin, S Gentile, Claude Alabouvette, Petr Karlovský, Francesca Vanara, Paolo Gonthier and Massimo Blandino. Their work appears in journals such as Plant Cell & Environment, Plant Physiology and Biochemistry and Eukaryotic Cell.
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.