Piero Ruscitti
- Immunology top 2%
- Hematology top 0.5%
- Rheumatology top 0.5%
- Molecular Biology top 10%
- Pathology and Forensic Medicine top 2%
- Co-authors
- Roberto GiacomelliPaola CiprianiOnorina BerardicurtiVasiliki LiakouliFrancesco CarubbiPaola Di BenedettoFrancesco CicciaG Triolo
- Topics
- Autoimmune and Inflammatory Disorders Research (53 papers)Rheumatoid Arthritis Research and Therapies (34 papers)Systemic Sclerosis and Related Diseases (32 papers)
- Cited by
- HematologyRheumatologyImmunology
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Piero Ruscitti
146 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Immunology 1.5k
- Hematology 1.5k
- Rheumatology 1.2k
- Molecular Biology 1.2k
- Pathology and Forensic Medicine 749
Countries citing papers authored by Piero Ruscitti
This map shows the geographic impact of Piero Ruscitti'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 Piero Ruscitti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Piero Ruscitti more than expected).
Fields of papers citing papers by Piero Ruscitti
This network shows the impact of papers produced by Piero Ruscitti. 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 Piero Ruscitti. The network helps show where Piero Ruscitti may publish in the future.
Co-authorship network of co-authors of Piero Ruscitti
This figure shows the co-authorship network connecting the top 25 collaborators of Piero Ruscitti. A scholar is included among the top collaborators of Piero Ruscitti 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 Piero Ruscitti. Piero Ruscitti 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 | 21 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 11 | |
| 7 | 4 | |
| 8 | 21 | |
| 9 | 5 | |
| 10 | 7 | |
| 11 | 33 | |
| 12 | 18 | |
| 13 | 19 | |
| 14 | 22 | |
| 15 | What could we learn from the sub-analysis of a single nation cohort in a worldwide study? Lessons from the results observed in the Italian cohort of the GO-MORE trial. | 5 |
| 16 | 39 | |
| 17 | 59 | |
| 18 | 43 | |
| 19 | 52 | |
| 20 | 24 |
About Piero Ruscitti
Piero Ruscitti is a scholar working on Hematology, Rheumatology and Immunology, having authored 153 papers that have together received 4.5k indexed citations. Recurring topics across this work include Autoimmune and Inflammatory Disorders Research (53 papers), Rheumatoid Arthritis Research and Therapies (34 papers) and Systemic Sclerosis and Related Diseases (32 papers). The work is most often cited by research in Hematology (1.5k citations), Rheumatology (1.2k citations) and Immunology (1.5k citations). Piero Ruscitti has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Roberto Giacomelli, Paola Cipriani, Onorina Berardicurti, Vasiliki Liakouli, Francesco Carubbi, Paola Di Benedetto, Francesco Ciccia, G Triolo, Giuliana Guggino and Yehuda Shoenfeld. Their work appears in journals such as PLoS ONE, Scientific Reports and Frontiers in Immunology.
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.