G. Graziosi
- Molecular Biology
- Plant Science top 10%
- Pharmacology top 5%
- Horticulture top 1%
- Genetics
- Co-authors
- Benoît BertrandFrançois AnthonyPhilippe LashermesCarlos AstorgaFulvio MicaliRoberto MarzariMarie‐Christine CombesSandra Andrzejewski
- Topics
- Coffee research and impacts (9 papers)Physiological and biochemical adaptations (5 papers)Meat and Animal Product Quality (4 papers)
- Cited by
- HorticultureAgingPharmacology
- Partner nations
- ItalyCosta RicaFrance
In The Last Decade
G. Graziosi
41 papers receiving 776 citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 365
- Plant Science 343
- Pharmacology 304
- Horticulture 119
- Genetics 98
Countries citing papers authored by G. Graziosi
This map shows the geographic impact of G. Graziosi'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. Graziosi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Graziosi more than expected).
Fields of papers citing papers by G. Graziosi
This network shows the impact of papers produced by G. Graziosi. 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. Graziosi. The network helps show where G. Graziosi may publish in the future.
Co-authorship network of co-authors of G. Graziosi
This figure shows the co-authorship network connecting the top 25 collaborators of G. Graziosi. A scholar is included among the top collaborators of G. Graziosi 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. Graziosi. G. Graziosi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 19 | |
| 3 | Progress on the preliminary sequence of the Coffea canephora genome | 1 |
| 4 | Genetic diversity of commercial coffee (C. arabica L.) from America, India and Africa assessed by simple sequence repeats (SSR). | 5 |
| 5 | 23 | |
| 6 | Transcriptomics of resistance response in Coffea arabica L. | 3 |
| 7 | 33 | |
| 8 | 13 | |
| 9 | 222 | |
| 10 | 104 | |
| 11 | 3 | |
| 12 | 11 | |
| 13 | 3 | |
| 14 | 3 | |
| 15 | 6 | |
| 16 | 9 | |
| 17 | 23 | |
| 18 | L'interpretazione musicale | 4 |
| 19 | 3 | |
| 20 | 9 |
About G. Graziosi
G. Graziosi is a scholar working on Horticulture, Aging and General Arts and Humanities, having authored 41 papers that have together received 841 indexed citations. Recurring topics across this work include Coffee research and impacts (9 papers), Physiological and biochemical adaptations (5 papers) and Meat and Animal Product Quality (4 papers). The work is most often cited by research in Horticulture (119 citations), Aging (34 citations) and Pharmacology (304 citations). G. Graziosi has collaborated with scholars based in Italy, Costa Rica and France. Frequent co-authors include Benoît Bertrand, François Anthony, Philippe Lashermes, Carlos Astorga, Fulvio Micali, Roberto Marzari, Marie‐Christine Combes, Sandra Andrzejewski, David B. Roberts and Alberto Pallavicini. Their work appears in journals such as Nature, Development and Journal of Agricultural and Food Chemistry.
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.