Fabio Massimo Perrotta
- Rheumatology top 0.5%
- Immunology top 5%
- Hematology top 2%
- Surgery
- Molecular Biology
- Co-authors
- Ennio LubranoSilvia ScriffignanoAntonio MarchesoniWendy J. ParsonsCarlo SalvaraniLeonardo PunziOlga AddimandaSalvatore D’Angelo
- Topics
- Spondyloarthritis Studies and Treatments (77 papers)Psoriasis: Treatment and Pathogenesis (61 papers)Rheumatoid Arthritis Research and Therapies (40 papers)
- Cited by
- RheumatologyHematologyImmunology
- Journals
- SHILAP Revista de lepidopterologíaAnnals of the Rheumatic DiseasesDrugs
- Partner nations
- ItalyUnited KingdomBelgium
In The Last Decade
Fabio Massimo Perrotta
93 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 77
- Rheumatology 1.1k
- Immunology 815
- Hematology 512
- Surgery 76
- Molecular Biology 76
Countries citing papers authored by Fabio Massimo Perrotta
This map shows the geographic impact of Fabio Massimo Perrotta'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 Massimo Perrotta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Massimo Perrotta more than expected).
Fields of papers citing papers by Fabio Massimo Perrotta
This network shows the impact of papers produced by Fabio Massimo Perrotta. 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 Massimo Perrotta. The network helps show where Fabio Massimo Perrotta may publish in the future.
Co-authorship network of co-authors of Fabio Massimo Perrotta
This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Massimo Perrotta. A scholar is included among the top collaborators of Fabio Massimo Perrotta 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 Massimo Perrotta. Fabio Massimo Perrotta 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 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 12 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | Therapeutic Targets for Ankylosing Spondylitis – Recent Insights and Future Prospects | 6 |
| 14 | 8 | |
| 15 | 8 | |
| 16 | 12 | |
| 17 | 25 | |
| 18 | 28 | |
| 19 | 67 | |
| 20 | 11 |
About Fabio Massimo Perrotta
Fabio Massimo Perrotta is a scholar working on Rheumatology, Hematology and Immunology, having authored 106 papers that have together received 1.3k indexed citations. Recurring topics across this work include Spondyloarthritis Studies and Treatments (77 papers), Psoriasis: Treatment and Pathogenesis (61 papers) and Rheumatoid Arthritis Research and Therapies (40 papers). The work is most often cited by research in Rheumatology (1.1k citations), Hematology (512 citations) and Immunology (815 citations). Fabio Massimo Perrotta has collaborated with scholars based in Italy, United Kingdom and Belgium. Frequent co-authors include Ennio Lubrano, Silvia Scriffignano, Antonio Marchesoni, Wendy J. Parsons, Carlo Salvarani, Leonardo Punzi, Olga Addimanda, Salvatore D’Angelo, Ignazio Olivieri and Antonio Spadaro. Their work appears in journals such as SHILAP Revista de lepidopterología, Annals of the Rheumatic Diseases and Drugs.
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.