Fabio Spreafico
- Immunology top 5%
- Molecular Biology
- Oncology
- Genetics top 10%
- Obstetrics and Gynecology top 5%
- Co-authors
- Thomas BurgoldGiuseppe TestaMario P. ColomboCecilia MelaniAntonella StoppacciaroGioacchino NatoliElena ProsperiniFrancesca De Santa
- Topics
- SARS-CoV-2 and COVID-19 Research (4 papers)COVID-19 Clinical Research Studies (4 papers)Stress Responses and Cortisol (3 papers)
In The Last Decade
Fabio Spreafico
18 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 101
- Immunology 544
- Molecular Biology 481
- Oncology 210
- Genetics 189
- Obstetrics and Gynecology 146
Countries citing papers authored by Fabio Spreafico
This map shows the geographic impact of Fabio Spreafico'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 Fabio Spreafico with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Spreafico more than expected).
Fields of papers citing papers by Fabio Spreafico
This network shows the impact of papers produced by Fabio Spreafico. 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 Fabio Spreafico. The network helps show where Fabio Spreafico may publish in the future.
Co-authorship network of co-authors of Fabio Spreafico
This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Spreafico. A scholar is included among the top collaborators of Fabio Spreafico 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 Fabio Spreafico. Fabio Spreafico 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 | 4 | |
| 3 | 4 | |
| 4 | 12 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 269 | |
| 10 | 4 | |
| 11 | 80 | |
| 12 | 71 | |
| 13 | 166 | |
| 14 | Supplementary Information S1 | 6 |
| 15 | 56 | |
| 16 | 336 | |
| 17 | Amount of interleukin 12 available at the tumor site is critical for tumor regression. | 150 |
| 18 | 114 | |
| 19 | Esterase activity in the skeletal muscles of dystrophic and normal mice. | 3 |
| 20 | L'EFFETTO IMMUNOSTIMOLATORE DELLE SPORE DI BACILLUS SUBTILIS: ASPETTI SPERIMENTALI | 3 |
About Fabio Spreafico
Fabio Spreafico is a scholar working on Behavioral Neuroscience, Infectious Diseases and Obstetrics and Gynecology, having authored 20 papers that have together received 1.3k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (4 papers) and Stress Responses and Cortisol (3 papers). The work is most often cited by research in Immunology (544 citations), Obstetrics and Gynecology (146 citations) and Behavioral Neuroscience (54 citations). Fabio Spreafico has collaborated with scholars based in Italy, Poland and Germany. Frequent co-authors include Thomas Burgold, Giuseppe Testa, Mario P. Colombo, Cecilia Melani, Antonella Stoppacciaro, Gioacchino Natoli, Elena Prosperini, Francesca De Santa, Maria Grazia Totaro and Luca De Gioia. Their work appears in journals such as Journal of Biological Chemistry, Molecular Cell and PLoS ONE.
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.