Enrico Garaci
- Molecular Biology top 2%
- Immunology top 0.5%
- Epidemiology top 1%
- Infectious Diseases top 1%
- Oncology top 2%
- Co-authors
- Anna Teresa PalamaraCartesio FavalliLucia NencioniGiovanna De ChiaraGuido RasiF CozzolinoP Sinibaldi VallebonaMaria Rosa Ciriolo
- Topics
- Immune Cell Function and Interaction (36 papers)HIV Research and Treatment (33 papers)T-cell and B-cell Immunology (28 papers)
- Partner nations
- ItalyUnited StatesCzechia
In The Last Decade
Enrico Garaci
289 papers receiving 9.1k citations
Peers
Comparison fields: 5 of 140
- Molecular Biology 3.2k
- Immunology 2.6k
- Epidemiology 1.7k
- Infectious Diseases 1.5k
- Oncology 1.0k
Countries citing papers authored by Enrico Garaci
This map shows the geographic impact of Enrico Garaci'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 Enrico Garaci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Enrico Garaci more than expected).
Fields of papers citing papers by Enrico Garaci
This network shows the impact of papers produced by Enrico Garaci. 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 Enrico Garaci. The network helps show where Enrico Garaci may publish in the future.
Co-authorship network of co-authors of Enrico Garaci
This figure shows the co-authorship network connecting the top 25 collaborators of Enrico Garaci. A scholar is included among the top collaborators of Enrico Garaci 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 Enrico Garaci. Enrico Garaci 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 10 | |
| 6 | 4 | |
| 7 | 12 | |
| 8 | 21 | |
| 9 | 8 | |
| 10 | 13 | |
| 11 | 15 | |
| 12 | 7 | |
| 13 | 77 | |
| 14 | 9 | |
| 15 | 10 | |
| 16 | In vivo recovery of natural killer cell activity by the association of thymosin α1 and cytokines during cocaine administration | 7 |
| 17 | Suppressive effects of phencyclidine on murine immune surveillance | 2 |
| 18 | Effects of in vivo PGE2 administration on IL 2 production by splenocytes collected from normal and tumor-bearing mice | 2 |
| 19 | Effects of in vivo PGE2 administration on IL 2 production by splenocytes collected from normal and tumor-bearing mice . vol. 2, p. 31-40 | 1 |
| 20 | Morphology of experimentally induced complexes of mitochondria and club like protrusions in rat hepatocytes | 0 |
About Enrico Garaci
Enrico Garaci is a scholar working on Virology, Biological Psychiatry and Immunology, having authored 299 papers that have together received 9.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (36 papers), HIV Research and Treatment (33 papers) and T-cell and B-cell Immunology (28 papers). The work is most often cited by research in Virology (895 citations), Biological Psychiatry (434 citations) and Immunology (2.6k citations). Enrico Garaci has collaborated with scholars based in Italy, United States and Czechia. Frequent co-authors include Anna Teresa Palamara, Cartesio Favalli, Lucia Nencioni, Giovanna De Chiara, Guido Rasi, F Cozzolino, P Sinibaldi Vallebona, Maria Rosa Ciriolo, Francesca Pica and Antonio Mastino. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.