Giovanni Salvatori
- Immunology top 2%
- Molecular Biology top 10%
- Infectious Diseases top 5%
- Genetics top 10%
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- Alberto MantovaniBarbara BottazziCecília GarlandaAndrea DoniLuigina RomaniAntonio BastoneAntonietta SalustriRita De Santis
- Topics
- Biomarkers in Disease Mechanisms (18 papers)Virus-based gene therapy research (7 papers)CAR-T cell therapy research (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- ItalySwitzerlandUnited States
In The Last Decade
Giovanni Salvatori
32 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 101
- Immunology 1.5k
- Molecular Biology 1.0k
- Infectious Diseases 276
- Genetics 270
- Public Health, Environmental and Occupational Health 193
Countries citing papers authored by Giovanni Salvatori
This map shows the geographic impact of Giovanni Salvatori'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 Giovanni Salvatori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giovanni Salvatori more than expected).
Fields of papers citing papers by Giovanni Salvatori
This network shows the impact of papers produced by Giovanni Salvatori. 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 Giovanni Salvatori. The network helps show where Giovanni Salvatori may publish in the future.
Co-authorship network of co-authors of Giovanni Salvatori
This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Salvatori. A scholar is included among the top collaborators of Giovanni Salvatori 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 Giovanni Salvatori. Giovanni Salvatori is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 132 | |
| 3 | 16 | |
| 4 | 38 | |
| 5 | 100 | |
| 6 | 14 | |
| 7 | 115 | |
| 8 | 129 | |
| 9 | 152 | |
| 10 | 13 | |
| 11 | 141 | |
| 12 | 284 | |
| 13 | 24 | |
| 14 | 25 | |
| 15 | 23 | |
| 16 | 37 | |
| 17 | 117 | |
| 18 | Terminally differentiated skeletal myotubes are not confined to G0 but can enter G1 upon growth factor stimulation. | 44 |
| 19 | 43 | |
| 20 | 47 |
About Giovanni Salvatori
Giovanni Salvatori is a scholar working on Immunology, Parasitology and Genetics, having authored 32 papers that have together received 2.5k indexed citations. Recurring topics across this work include Biomarkers in Disease Mechanisms (18 papers), Virus-based gene therapy research (7 papers) and CAR-T cell therapy research (4 papers). The work is most often cited by research in Immunology (1.5k citations), Parasitology (132 citations) and Infectious Diseases (276 citations). Giovanni Salvatori has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include Alberto Mantovani, Barbara Bottazzi, Cecília Garlanda, Andrea Doni, Luigina Romani, Antonio Bastone, Antonietta Salustri, Rita De Santis, Anthony J. Day and Maura Camozzi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.