Giulio Cavalli
- Infectious Diseases top 1%
- Immunology top 2%
- Rheumatology top 0.5%
- Physiology top 2%
- Molecular Biology top 10%
- Co-authors
- Charles A. DinarelloLorenzo DagnaCorrado CampochiaroAlessandro TomelleriGiacomo De LucaMoreno TresoldiAlvise BertiElena Baldissera
- Topics
- Autoimmune and Inflammatory Disorders Research (18 papers)Histiocytic Disorders and Treatments (17 papers)Vasculitis and related conditions (13 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- ItalyUnited StatesNetherlands
In The Last Decade
Giulio Cavalli
96 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Infectious Diseases 1.1k
- Immunology 1.0k
- Rheumatology 1.0k
- Physiology 903
- Molecular Biology 806
Countries citing papers authored by Giulio Cavalli
This map shows the geographic impact of Giulio Cavalli'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 Giulio Cavalli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulio Cavalli more than expected).
Fields of papers citing papers by Giulio Cavalli
This network shows the impact of papers produced by Giulio Cavalli. 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 Giulio Cavalli. The network helps show where Giulio Cavalli may publish in the future.
Co-authorship network of co-authors of Giulio Cavalli
This figure shows the co-authorship network connecting the top 25 collaborators of Giulio Cavalli. A scholar is included among the top collaborators of Giulio Cavalli 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 Giulio Cavalli. Giulio Cavalli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 12 | |
| 5 | 40 | |
| 6 | 46 | |
| 7 | 1 | |
| 8 | 45 | |
| 9 | 2021 EULAR recommendations regarding lifestyle behaviours and work participation to prevent progression of rheumatic and musculoskeletal diseasesbreakdown → | 126 |
| 10 | 5 | |
| 11 | 32 | |
| 12 | Interleukin 1α: a comprehensive review on the role of IL-1α in the pathogenesis and treatment of autoimmune and inflammatory diseasesbreakdown → | 214 |
| 13 | 0 | |
| 14 | 9 | |
| 15 | 187 | |
| 16 | 4 | |
| 17 | 20 | |
| 18 | 72 | |
| 19 | 43 | |
| 20 | 99 |
About Giulio Cavalli
Giulio Cavalli is a scholar working on Rheumatology, Immunology and Hematology, having authored 101 papers that have together received 3.8k indexed citations. Recurring topics across this work include Autoimmune and Inflammatory Disorders Research (18 papers), Histiocytic Disorders and Treatments (17 papers) and Vasculitis and related conditions (13 papers). The work is most often cited by research in Rheumatology (1.0k citations), Infectious Diseases (1.1k citations) and Immunology (1.0k citations). Giulio Cavalli has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Charles A. Dinarello, Lorenzo Dagna, Corrado Campochiaro, Alessandro Tomelleri, Giacomo De Luca, Moreno Tresoldi, Alvise Berti, Elena Baldissera, Emanuel Della‐Torre and Alberto Zangrillo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.