Francesco Prattichizzo
- Molecular Biology top 5%
- Physiology top 2%
- Endocrinology, Diabetes and Metabolism top 1%
- Cancer Research top 2%
- Immunology top 5%
- Co-authors
- Antonio CerielloOlivieri FabiolaLucia La SalaAntonio Domenico ProcopioMaria Rita RippoAngelica GiulianiValeria De NigrisPaola de Candia
- Topics
- MicroRNA in disease regulation (21 papers)Diabetes Treatment and Management (20 papers)Diabetes and associated disorders (17 papers)
- Partner nations
- ItalySpainUnited States
In The Last Decade
Francesco Prattichizzo
89 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Molecular Biology 1.8k
- Physiology 962
- Endocrinology, Diabetes and Metabolism 953
- Cancer Research 855
- Immunology 632
Countries citing papers authored by Francesco Prattichizzo
This map shows the geographic impact of Francesco Prattichizzo'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 Francesco Prattichizzo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Prattichizzo more than expected).
Fields of papers citing papers by Francesco Prattichizzo
This network shows the impact of papers produced by Francesco Prattichizzo. 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 Francesco Prattichizzo. The network helps show where Francesco Prattichizzo may publish in the future.
Co-authorship network of co-authors of Francesco Prattichizzo
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Prattichizzo. A scholar is included among the top collaborators of Francesco Prattichizzo 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 Francesco Prattichizzo. Francesco Prattichizzo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 16 | |
| 3 | Extracellular vesicles as human therapeutics: A scoping review of the literaturebreakdown → | 56 |
| 4 | 48 | |
| 5 | 26 | |
| 6 | 46 | |
| 7 | 21 | |
| 8 | 43 | |
| 9 | 1 | |
| 10 | 78 | |
| 11 | 141 | |
| 12 | 28 | |
| 13 | 29 | |
| 14 | 40 | |
| 15 | 46 | |
| 16 | 52 | |
| 17 | 83 | |
| 18 | 13 | |
| 19 | 76 | |
| 20 | 64 |
About Francesco Prattichizzo
Francesco Prattichizzo is a scholar working on Aging, Endocrinology, Diabetes and Metabolism and Computational Mathematics, having authored 92 papers that have together received 4.5k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (21 papers), Diabetes Treatment and Management (20 papers) and Diabetes and associated disorders (17 papers). The work is most often cited by research in Aging (132 citations), Endocrinology, Diabetes and Metabolism (953 citations) and Cancer Research (855 citations). Francesco Prattichizzo has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Antonio Ceriello, Olivieri Fabiola, Lucia La Sala, Antonio Domenico Procopio, Maria Rita Rippo, Angelica Giuliani, Valeria De Nigris, Paola de Candia, Jacopo Sabbatinelli and Roberto Testa. Their work appears in journals such as Nature Communications, The Journal of Experimental Medicine and Diabetes.
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.