G. Pasquini
- Plant Science top 10%
- Endocrinology top 5%
- Molecular Biology
- Insect Science top 10%
- Surgery
- Co-authors
- M. BarbaMarina BarbaVincenza IlardiF. FaggioliMarco A. PierottiS. PilottiB. BagnoliRosangela Donghi
- Topics
- Plant Virus Research Studies (17 papers)Phytoplasmas and Hemiptera pathogens (8 papers)Plant and Fungal Interactions Research (7 papers)
- Partner nations
- ItalyUnited StatesJordan
In The Last Decade
G. Pasquini
33 papers receiving 376 citations
Peers
Comparison fields: 5 of 41
- Plant Science 298
- Endocrinology 114
- Molecular Biology 89
- Insect Science 54
- Surgery 44
Countries citing papers authored by G. Pasquini
This map shows the geographic impact of G. Pasquini'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. Pasquini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Pasquini more than expected).
Fields of papers citing papers by G. Pasquini
This network shows the impact of papers produced by G. Pasquini. 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. Pasquini. The network helps show where G. Pasquini may publish in the future.
Co-authorship network of co-authors of G. Pasquini
This figure shows the co-authorship network connecting the top 25 collaborators of G. Pasquini. A scholar is included among the top collaborators of G. Pasquini 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. Pasquini. G. Pasquini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | Molecular characterization of stolbur isolates collected in grapevines, weeds and insects in central and southern Italy | 3 |
| 3 | 59 | |
| 4 | 0 | |
| 5 | Valutazione del rischio di diffusione de Scaphoideus titanus mediante il materiale di propagazione della vite | 1 |
| 6 | Il miglioramento genetico per la resistenza a sharka in pesco: risultati del progetto italiano PPVCON | 1 |
| 7 | 31 | |
| 8 | 39 | |
| 9 | 36 | |
| 10 | 34 | |
| 11 | 2 | |
| 12 | 6 | |
| 13 | 5 | |
| 14 | 10 | |
| 15 | 21 | |
| 16 | Comparison of different methods of RNA isolation for plum pox virus detection by reverse transcription-polymerase chain reaction. | 4 |
| 17 | 1 | |
| 18 | 13 | |
| 19 | 19 | |
| 20 | 27 |
About G. Pasquini
G. Pasquini is a scholar working on Horticulture, Endocrinology and Plant Science, having authored 35 papers that have together received 404 indexed citations. Recurring topics across this work include Plant Virus Research Studies (17 papers), Phytoplasmas and Hemiptera pathogens (8 papers) and Plant and Fungal Interactions Research (7 papers). The work is most often cited by research in Horticulture (36 citations), Endocrinology (114 citations) and Plant Science (298 citations). G. Pasquini has collaborated with scholars based in Italy, United States and Jordan. Frequent co-authors include M. Barba, Marina Barba, Vincenza Ilardi, F. Faggioli, Marco A. Pierotti, S. Pilotti, B. Bagnoli, Rosangela Donghi, M. Tessitori and Gilda Porta. Their work appears in journals such as European Journal of Cancer, Phytopathology and Plant Disease.
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.